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1. Introduction
Aquaculture is an ancient occupation of man in which its fast growth due to rapid development has given birth to modern equipment and technology leading to its intensification and commercialization. This development has placed disease problems on the threatening side, making it to be a major constraint to the culture of many aquatic species and consequential impediment on economic and social development in many countries [1]. Owing to the artificial conditions posed by intensive rearing, farmed fish is more susceptible to disease agents than fish in natural aquatic environments [2]. Fish diseases constitute the major limiting factor in aquaculture production since the disease causative agents thrive well in water. Various types of bacterial diseases in fish have been encountered in fresh water fishes across the globe [3]. Jakhar et al. [4] reported that bacterial pathogens cause heavy mortality in both cultured and wild fish/shell species over the world.
However, prevention and control of diseases have led to a substantial increase in the use of broad-spectrum chemotherapeutics, which has been reported to cause development of resistant bacteria, reduction in yield, and introduction of potential hazard to public health, the environment, and killing of the microbial flora in the digestive tracts, which is beneficial to the fish [5]. The development of resistant bacterial genes as a result of exposure to antimicrobial agents has not only made the drugs applied useless, but has also made the animals treated with it not safe for human consumption; therefore, it turned the treatment exercise to a wasteful process, which eventually makes this to be a major disadvantage of using synthetic antibiotics in aquaculture [6]. The success of modern aquaculture among others hinges on the use of biological control agents for diseases, and this depends on the fact of microbial antagonism [3] and triggering immune response to disease challenge.
Generally, the immune system of aquatic organisms is affected by periodic and unexpected changes in their environment. Adverse environmental situations may acutely or chronically, stress the fish, altering some of their biochemical parameters and suppressing their innate and adaptive immune responses [7]. This triggers nonspecific defense mechanisms, which plays important role at all stages of infection. Fish, particularly, depends more heavily on these nonspecific defense mechanisms than mammals. Therefore, there has been an increasing interest in boosting the nonspecific immune system of fish for the treatment and prophylactic measure against disease in the last decade using biological and eco-friendly approach [8].
Probiotics are microbial dietary adjuvant that beneficially affect the host physiology by modulating mucosal and systemic immunity, as well as improve nutritional and microbial balance in the intestinal tract [9]. These biological agents have been utilized for disease control, supplements to improve growth, and in some cases as a means of replacing antimicrobial compounds in aquaculture. Probiotics have proven to inhibit the growth of pathogens through production of antagonistic compounds, competition for attachment sites, nutrients, and alterations of enzymatic activity of pathogens, immune-stimulatory functions, and nutritional benefits such as improvement in digestibility and utilization in feed [10]. Hence, the concept of utilizing probiotics in animal feed, particularly, poultry and fish, is fast gaining acceptance [11]. The objective of prevention and control of disease can be achieved by the use of probiotics. Probiotics are characterized by their ability to adhere and colonize the gastro intestinal tract (GIT) of the hosts and able to replicate to high numbers. These organisms must be able to produce antimicrobial substances and withstand the acidic environment of the GIT of the host animals. Probiotics are known to play an important role in developing innate immunity among the fishes; therefore, help them to fight against any pathogenic bacteria as well as against environmental stressors [11].
Probiotics can be introduced into culture environment to control and compete with pathogenic bacteria as well as to promote the growth of the cultured organisms. The use of probiotics will prove a new eco-friendly alternative measure for sustainable aquaculture. A wide range of gram positive bacteria have been evaluated as probiotics. This includes Aspergillus oryzae, Lactobacillus, Bacillus, Micrococcus, Carnobacterium, Enterococcus, Streptococcus, and Saccharomyces species. The products of probiotics could be administered through water or incorporated in feed, either singly or in combination [11]. Administration of the probiotics proved harmless to the host as well as human being; it also results in improved resistance to infectious diseases in the hosts. However, the dimensions of the effects of probiotics have to be assessed for different fish species. Probiotics could be prepared in different types which include: nonviable, which are dried probiotics; freeze-dried, which are probiotics that thrive well at freezing point; fermentation probiotics, which are produced through fermentation; and viable probiotics, which are living probiotics with guaranteed shelf life [12]. Probiotics have been demonstrated to have potentials for enhancing fish immunity [13], growth [14], wound healing [15], and are eco-friendly [16]. A successful probiotic is expected to be antagonistic to pathogens, by producing antimicrobial substances, which are harmful to the pathogens. In addition, the probiotics should have the capacity to colonize the fish by adhesion and produce important substances like vitamins, which has beneficial effect on the host, in the form of growth promotion or protecting the fish against bacterial pathogens [17].
Probiotics such as Lactobacillus, Saccharomyces species and their combinations have been found useful in aquaculture production [15, 18]. The administration of diets fortified with these probiotics have improved growth in Oreochromis niloticus [14], increased immunity in Cyprinus carpio [19], improved wound healing in Clarias gariepinus [20], and in Heterobranchus bidorsalis [15]. It would be of interest to understand the applicability of this bio-technique in advancing the fate of aquaculture and food security. Maintenance of hygiene and especially, chemotherapeutics are widely used as interventions on control of diseases of aquatic animals. However, intensive use of chemicals had contributed to the development of resistant strains of pathogens. Hence, there is the need for natural preventives for improving resistance in fisheries and aquaculture. Meanwhile, a large percentage of culture systems still depend mostly on the use of chemotherapeutic agents in treating and controlling the widespread of these diseases. The abuse of chemotherapeutics in fish farming has led to development of drug-resistant bacteria and multiple antibiotic-resistant in the aquaculture industry [21]. This approach has sometimes resulted in the spread of epizootic diseases and severe economic losses. Moreover, chemotherapy may kill or inhibit the normal micro flora in the digestive tract, which is beneficial to fish [22]. Therefore, there is an urgent need to develop alternative approach to the indiscriminate use of antibiotics in fish production.
The principal objectives of the food security through aquaculture can only be achieved in the face of increase in growth and survival, feed efficiency, and disease resistance of culturable fish species, which reflects positively on production costs. The use of probiotics, which control pathogens through a variety of mechanisms that targets these attributes are viewed as an alternative to the use of antimicrobial agents [23] but the potentials of this technique have to be tested in many indigenous culturable fish species. With increasing demand for eco-friendly aquaculture, the use of probiotics in aquaculture is now widely accepted [24]. Positive effects of applying certain beneficial bacteria in aquaculture have also been well documented [25].
2. Standards considered in selecting microorganisms as probiotics
For a microorganism to be considered as a good probiotics candidate, it should be able to exhibit these properties: antagonistic properties through the production of antimicrobial materials such as hydrogen peroxide [26] or siderophores [27]. They should be able to colonize other microorganisms in the fish organ through adhesion [17]. The microorganisms are expected to be viable for long period of time under storage [28]. Adhesion is one of the most important criteria for probiotic bacteria because it is considered a pre-requisite for colonization [29]. Probiotic microorganisms will of course have to be nonpathogenic and nontoxic in order to avoid undesirable side effects when administered to fish. Tests of antagonisms, which include studies of adhesion and in-vitro challenged tests, challenged experiments in which fish treated with friendly bacteria are subjected to pathogens in order to evaluate the efficacy of the probiotics by using survival rate as an indicator are important considerable factors in selecting probiotics [30]. The interest of the probiotic use is centered on terrestrial organisms and the term probiotic inevitably is referred to gram positive bacteria associated with the genus Lactobacillus species. Panigrahi et al. [28] submission, however, requires some considerations to humans and terrestrial animals. It could be assumed in aquaculture that the intestinal microbiota does not exist as an entity by itself but there is a constant interaction with the environment and the host functions [31]. The bacteria in the aquatic medium could either be ingested with the feed or when the host drinks water. Terrestrial animals (mammals) inherit an important part of the initially colonizing bacteria through contact with the mother, while aquatic species usually spawn eggs in water, without further contact with their parents. This allows the ambient bacteria to colonize intestinal tract, gills, or skin of newly born animals/larvae, which have not fully developed.
3. Test for pathogenicity of the selected strains
Microorganisms considered as probiotic candidates should be scrutinized for pathogenicity on the host animals by challenging the target animals with the probiotic microorganisms. The challenged organisms could be administered to the target species through injection, immersion, or addition into the feed. The test of pathogenicity could either be carried out in-vitro or in-vivo.
In-vitro antagonism tests: Common way to screen the candidate probiotics is to perform in-vitro antagonism tests in which the pathogens are exposed to the candidate probiotics or their extracellular products in liquids [32] or solid medium. Depending on the extract arrangement of the tests, candidate probiotics can be selected based on the competition for nutrients [32]. The pre-selection of probiotics candidate based on these in-vitro antagonism tests has often led to the finding of effective probiotics [26].
In-vivo antagonism tests: Pathogenicity effects of microorganisms considered as probiotics could also be tested in-vivo to determine the safety level of the tested probiotic candidate.
4. The probiotics characteristics of Lactic acid bacteria and Yeast
Lactic acid bacteria are potential probiotic candidates in aquaculture and are also known to be a normal inhabitant in the intestine of healthy fish [14]. Most lactic acid bacteria are harmless, while some strains have been reported to have beneficial effects on fish health and are antagonistic to pathogens [32]. Strains of lactic acid bacteria are the most common microbes employed as probiotics. Most probiotic strains belong to the genus Lactobacillus. Lactobacillus species have the ability to degrade organic materials, reduce ammonia, and inhibit the growth of pathogens by outcompeting them [33]. Lactic acid bacteria are a heterogeneous group of bacteria that are generally considered safe for use in food and food products. Lactic acid bacteria have been used for lactic acid fermentation of sorghum-or maize-based cereals used as infant weaning foods, for example, Pap (ogi) prepared from maize slurry [34]. Lactic acid bacteria are spherical, cocci, coccobacilli, or rods and divide in one plane only with the exception of Pediococcus species [35]. Lactic acid bacteria have no strict taxonomic significance although they have been shown by serological techniques and 16S ribosomal RNA cataloging to be phylogenetically related. They share a number of common features as earlier stated. Most of these organisms are aero-tolerant anaerobes, which lack cytochromes and porphyrins. The lack of these two components in their systems explains why they are negative to catalase and oxidase tests [36]. The antibacterial effect of lactic acid bacteria (LAB) is therefore ascribed to its tendency to produce antibiotics-like substances (bacteriocins) such as Acidophilin, Lactolin, and Lactocidin.
Saccharomyces cerevisiae is budding yeast species commonly used in baking and brewing, owing to its fermenting property or ability. The cells are ovoid in shape, 5–10 μm in diameter. It reproduces by a division process known as budding. All strains of S. cerevisiae can grow aerobically on glucose, maltose, and trehalose but cannot grow on lactose and cellobiose. It is a single-celled organism, which can easily be cultured with short generation time of about 1.5–2 hours doubling time at a temperature of 30°C. It contains various immune-stimulating compounds such as β-glucans, nucleic acid, and mannan oligosaccharides, which have been reported to enhance immune response and growth of various fish species [37]. Mesalhy et al. [38] recorded higher growth rate in the study carried out using probiotic-supplemented diets on Oreochromis niloticus than those kept on basal diet. It was concluded that addition of Bacillus subtilis and S. cerevisiae enhanced the growth performance, feed utilization, and mitigated the effects of population density, which is the main growth-inhibiting factor in intensive aquaculture systems. The best food conversion rate (FCR) values were recorded in probiotic-supplemented diets, and it was concluded that the probiotic used improved feed utilization, which practically showed that the probiotic used can reduce the amount of feed necessary for animal growth and thus, reduce the cost of production [37].
Saccharomyces, Clostridium, Bacillus, Enterococcus, Lactobacillus, Shewanella, Leuconostoc, Lactococcus, Carnobacterium, and Aeromonas species are the commonly used probiotics in fish culture practices [11]. These probiotics have been reported to produce beneficial results to the host organisms. Bacillus species increased survival and production of channel catfish (Ictalurus punctatus), improved growth and immunity of Nile tilapia (Oreochromis niloticus) was achieved through feeding of diet containing Bacillus subtilis and Rhodopseudomonas, and rainbow trout (Oncorhynchus mykiss) was protected against Vibrio anguillarum by Pseudomonas fluorescens [9]. Generally, probiotics have demonstrated the ability to increase fish growth by enhancing the feed conversion efficiency, as well as confer protection against harmful bacteria by competitive exclusion, production of organic acids (formic acid, acetic acid, and lactic acid), hydrogen peroxide, and several other compounds [37]. They can also effectively trigger the fish immune system [37].
Abdul El-Halim et al. [39] discovered that the addition of living yeast in diet improved the performance of Oreochromis niloticus. Scholz et al. [40] also reported improved growth and survival of sea bass fry with S. cerevisiae and attributed this to adherence ability of S. cerevisiae cells to the gut and secretion of amylase enzymes, which increased digestibility of the diet. The probiotics used by Marzouk et al. [41] enhanced the growth performance of Oreochromis niloticus and suppressed the activity of the pathogenic bacteria in the intestine of the tested fish. The disease outbreak was reportedly prevented in fish with the use of S. cerevisiae and Bacillus subtilis as probiotics. This could have been possible with the ability of these microorganisms to attach and colonize the intestinal walls of the host animals, which eventually prevent other bacterial from getting access to the intestinal walls [41]. Li et al. [42] described positively influenced growth performance of brewer’s yeast (S. cerevisiae) and feed efficiency of hybrid striped bass (Morone chrysops xm saxatilis) and resistance to Streptococcus iniae infection. In addition, results of immune response assays illustrated that brewer’s yeast can be administered for relatively long periods without causing immune-suppression.
Lactobacillus fermentum and S. cerevisiae have also been reported to improve the growth performance and health status of fish species, Oreochromis niloticus [37] and Mystus montanus [3]. Various studies have been carried out using some bacteria strains as probiotics on fish species such as Clarias gariepinus and Tilapia species, but there is little or no information on the use of bacteria strains and yeast species as probiotics on indigenous species such as H. bidorsalis. Furthermore, information on the immune response of these probiotics on this fish species is not available [43]. Lactobacillus fermentum is a common bacteria strain, which has been used on different fish species. The wide occurrence and high antagonistic effects to the pathogens of the L. fermentum and the S. cerevisiae made them a good potential in testing for their probiotic ability and immune response. A beneficial effect by application of certain beneficial bacteria in human, pig, cattle, and poultry nutrition has been well documented by Jong [44]. However, the use of such probiotics in aquaculture is a relatively new concept [45]. Zhou et al. [17] reported the use of beneficial bacteria (probiotics) to displace pathogens by competitive processes being used in animal industry as a better remedy than administering antibiotics. This phenomenon is now gaining acceptance for the control of pathogens in aquaculture.
5. Importance of probiotics in aquaculture
Probiotics have been found beneficial in various ways such as:
Maintaining desired conditions within the culture environment.
Eliminating the stressors like NH3, NO2, and NO3.
Stabilizing and controlling the microbial populations.
Maintaining stable water quality parameters.
Preventing bacterial and viral infections.
Improving feed and make it to be more attractive.
Supporting growth through production of vitamins, minerals, nucleic acids, and by stimulation of beneficial gut flora.
Improving feed conversion rate and survival rate of aquatic species.
Reducing the use of chemotherapy.
The benefits listed above substantiated [46] who anticipated that bacteria would be found useful both as food and as biological control agents of fish diseases and activators of the rate of nutrient regeneration in aquaculture. Zong-fu et al. [12] stated that potential probiotic microorganisms must be able to colonize the fish intestinal mucosa and produce materials, which are eco-friendly to the host but antagonistic to pathogens. Furthermore, optimal diet utilization by the host animal has been ensured with the use of probiotics, which stimulate the multiplication of gut micro flora in the host fish. It should be noted that an application of probiotics into the water and ponds may also have a positive effect on fish health by improving the water quality, since they modify the bacteria composition of the water and sediments.
5.1. Application of probiotics as biological control agents in aquaculture
Probiotics have been applied in various aspects of aquaculture with promising results, especially in shrimp production [47]. Luminous vibrio has also been reported to be completely eliminated from the water column and from the sediment of ponds when probiotic strains selected for their inhibitory effect were used [48]. Hence, disease problems could be overcome by applying probiotic biotechnology, which is an application of microbial ecology [47]. Probiotics are expected to have a direct involvement in nutrients or vitamins [26]. They also enhance the growth of fish [49]. Lack of data on the efficacy of probiotics in commercial aquaculture is still affecting the sustained use of probiotics [50]. Most studies on the effects of probiotics on cultured aquaculture animals have emphasized a reduction in mortality or improved resistance against putative pathogens [51]. Probiotic can be added to the host or its ambient environment in several ways such as:
Addition to artificial diet
Addition to culture water
Bathing
Addition via live food
Probiotics could be provided to animals in different ways depending on the aim and objective of the study. However, the best method of administration is continuous feeding. This would ensure that the probiotics is present in the gut in a large number and able to metabolize and produce its probiotics effects.
5.2. Probiotic use in fish eggs, larvae, juvenile, and adult fish
The need to control the micro biota in hatching incubators through the alternative means in reducing the use of antibiotics needs to be adequately emphasized. Fish larvae may ingest substantial amount of bacteria by grazing on suspended particles and egg debris [52]. Ringo and Gatesoupe [26] added lactic acid bacteria (LAB) to larvae of some fish species and a significant reduction of larval mortality was recorded when the larvae were challenged with pathogenic microorganisms (Vibrio). Ref. [32] fed lactic acid bacteria to Atlantic Cod fry to look at the effect of lactic acid bacteria on the growth and survival rate of Atlantic Cod fry. The experimental fish were given short term bathing in a bacteria suspension of probiotic [27]. Long term exposure in the rearing water led to the reduction in mortality of fish [9]. Ref. [23] selected several strains with a positive effect on the survival and growth of artemia juvenile.
5.3. Improving the immune response of the fish larvae
The level of immune response exhibits by the host animals greatly depend on the immune stimulants such animal is able to produce. Immune stimulants are produced to resist or combat any foreign body or objects intended to infect such animal. The immune systems of fish larvae are less developed; therefore, depend on nonspecific immune response to fight against infection [21]. Observations obtained in experiments with warm-blooded animals indicate that probiotic (lactic acid bacteria) administered orally increased resistance to enteric infections [49]. There are many reports that bacterial compounds act as immune stimulant in fish; however, it is not clear whether bacteria administered as probiotic could have a beneficial effect on the immune response of cultured aquatic species [8]. The role of lactic acid bacteria (LAB) within the digestive tract of endothermic animals and humans has been extensively studied [30]. Few authors have tested in-vivo, the protection conferred by probiotics in fish experimentally infected with pathogens. Bernet et al. [53] found that Lactobacillus strains isolated from rotifers increased the resistance of Turbot larvae against a pathogenic Vibrio species. Gildberg at al. [32] demonstrated that Carnobacterium divergens decreased the mortality rate of Atlantic Cod fry challenged with Vibrio anguillarum. Douillet and Langdon [54] also reported that Carnobacterium administered to fry and fingerlings of Atlantic salmon reduced the mortality caused by Aeromonas salmonicida, Vibrio ordalli, and Yersinia ruckeri. The role of lactic acid bacteria as immune-modulators improves non-specific defenses and is well-known for mammals [31]. Villamil [55] stated that this role has to be determined for fish. Most studies with probiotics conducted to date with fish have been undertaken with strains isolated and selected from aquatic environment and cultured animals.
5.4. Improvement of water quality
Water quality has been recorded to be improved at the addition of probiotics especially, Bacillus species. The rationale behind this is that gram positive bacillus species are generally efficient in converting organic matters back to CO2 than gram negative bacteria [8]. Probiotics has also found its usage in water purification, especially with the culture of nitrifying bacteria in bio filters. Nitrifiers are responsible for the oxidation of ammonia to nitrite and subsequently to nitrate. The nitrifying cultures could be added to the ponds or tanks when an incidental increase of ammonia or nitrite levels is observed. Besides ammonia, nitrite toxicity is a common problem in fish culture especially in stagnant pond and re-circulatory system [56].
5.5. Improvement in fish growth
Inclusion of probiotics in the diets of fish species such as hybrid striped bass (Morone chrysops xm saxatilis), Oreochromis niloticus, catfish, and carp could improve the growth performance, body length, weight gain, and feed conversion ratio (FCR) of fish species [57]. Probiotics could also improve the body composition of fish fed with it. The addition of probiotics in the fish diets was reported to reduce the mortality rate. Gatesoupe [30] showed that turbot (Scophthalmus maximus) larvae fed with rotifers enriched with lactic acid bacteria had improved resistance against pathogenic vibrio infection, while noninfected fish showed slight increase in mortality when the level of lactic acid bacteria in the feed was too high.
5.6. Improve the hematology of fish
The hematological parameters of fish have been reported to be improved with the addition of probiotic bacterial into the diets of the experimental fish. For instance, the red blood cell counts (RBC) and white blood cell (WBC) of experimental fish were reported improved after being fed with probiotic bacterial [58]. Probiotics actively stimulate the proliferation of lymphocytes (both B and T cells) and further immunoglobulin production in fish [59]. Application of hematological techniques is, therefore, valuable in fish biology for the assessment of fish health and stress response. In the hemoglobin, oxygen is bound and released easily by iron (Fe) action contained in the hemoglobin molecule as blood transverse the pulmonary capillaries. Red blood cells (RBC), mean corpuscular hemoglobin (MCH), and hematocrit (HCT) have been reported by Adeyemo et al. [60] to indicate secondary responses of an organism to irritants. O’Neal and Weirich [61] describe decrease in erythrocytes to be the major and reliable indicators of various sources of stress in fish. Decrease in white blood cells (WBC) indicates vulnerability to stress and infection [58]. Decrease in red blood cells (RBC) indicates reduction in level of oxygen (O2), which is being carried to the tissue and carbon dioxide (CO2) that is returned to the lungs. It also indicates malnutrition in animal. Decrease in mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (McHc) indicates anemia [58]. Differential counts of neutrophils and monocytes give the level of protection against bacterial invasion, while lymphocytes determine the level of immunity. High platelet values show that the fish is likely to withstand and get healed quickly from bruises or wounds, which could be acquired from fight or overstocking. Heterophil/Lymphocyte ratio is a reliable indicator of stress associated with injury [62]. Increase in heterophil/lymphocyte (H/L) ratio indicates stress. Probiotics also actively stimulate the proliferation of lymphocytes (both B and T cells) and further immunoglobulin production in fish [59].
Serum biochemistry deals with the level of various enzymes, minerals, and proteins in the blood. Biochemical values are sometimes variably or invariably affected by blood, sex, age, environment, nutritional status, and experimental factors. Serum is the preferred sample for chemistry analysis, although plasma is often used because of the difficulties of obtaining two samples from one animal. The yield of plasma from a sample is usually greater than that of serum. If plasma is used for the analysis, then the auto coagulant should be considered in result interpretation. Choudhury et al. [63] discovered that dietary supplements of ribonucleic acid significantly influenced the total serum, protein, albumin, and globulin of the experimental fish (Labeo rohita). The highest plasma protein concentration was recorded in fish fed 25% yeast-based diet [64]. Kobeisy et al. [65] studied the roles of 0, 5, 10, and 20% dietary live yeast on the serum glucose of Oreochromis niloticus for 13 weeks. They recorded a significant increase in the serum glucose concentration, compared to the control group.
5.7. Stress reduction in fish
Stress is referred to as “the non-specific response of the body to any demand made upon it.” Stresses are additives and increase the susceptibility of animals to disease while decreasing their growth rate and feed conversion efficiency [66]. The degree to which stress affects any particular fish is determined largely by the severity of the stress, its duration, and the health of the fish. Reduced or negative growth is commonly observed during stressful periods, while growth rates or derived parameters are often considered reliable indicators of stress and welfare [67]. Fish under intensive culture conditions are exposed to a variety of stressors owing to the economic realities of large scale production [68]. To enhance production, farmers often increase rearing densities beyond system capacities. Rearing at high density can cause stress through deterioration in water quality, overcrowding, or adverse social interactions [69]. High rearing density adversely increases fish susceptibility to disease, possibly as a result of chronically elevated cortisol levels, which have immune-suppressive and catabolic actions in fish [70]. The common symptoms of stress include: gasping at the surface for oxygen, lack of appetite for food, abnormal swimming position, and fish disease. Stocking density is one of the key factors determining profitability and economic sustainability of a fish farm. Meanwhile, farmers often increase rearing densities to intensify production [71] and these suboptimal conditions may result in chronic stress in fish culture [72]. Three types of stress indicators can be detected in fishes: release of corticosteroid hormones (for example cortisol) into blood circulation [73], changes in hematological parameters, and the whole animal performance like growth and survival rate [68].
Hormonal and blood parameters have frequently been used as indicators of stress in sturgeons [74]. Stocking density has been studied in many bony fishes [72]. Stocking density is one of the most important factors in aquaculture because it directly influences survival, growth, behavior, health, feeding, and production of fish under farmed conditions [75]. The effect of stocking density as a major factor affecting fish growth has been the subject of many studies [76]. Hematological parameters are important indices related to response of fish to different environmental conditions. They are considered as important stress indicators in estimating reactions of fish to various environmental conditions and assessment of its general physiological status [77]. The level of hematological and growth indices in fishes is an important parameter to evaluate the stress responses to various environmental conditions [78]. Many studies have confirmed the significance of the hematological parameters to assess the response of organism to the environment condition and their importance for estimating its general health condition and possible effect of exposure to stressors [79]. Stocking density is considered an environmental stressor in aquaculture [80]. This constitutes an important item in any fish culture operation. The result of the improvement in output with respect to stocking density is essential in an intensive production system [81] with the objective of profit maximization.
Production economics revealed that high stocking density of 40 fingerlings/m3 gave the highest profit index and best cost ratio. At high stocking density (40 fingerlings/m3), raising of C. gariepinus is more profitable [82]. Therefore, to increase fish production, appropriate environmental conditions must be provided [83]. Sohrab et al. [84] reported that growth and nutritional indices were appropriate indicators in assessing the impact of the induced stresses in the Caspian roach larvae owing to stocking density. Many studies have mentioned the importance of the hematological indices to evaluate the stress status of fish as a result of stocking density [84]. Hematological parameters such as hematocrit (HCT), hemoglobin (HB), number of red blood cells (RBC), eosinophil (EOS), and heterophil (HET) in Beluga (Huso huso) were not affected by increasing stocking density [85]. Binukumari and Anbarasi [86] recorded decreased trend in neutrophil numbers, RBC, and WBC (white blood cell) count in the stressed fish.
5.8. Accelerates wound healing in fish
Wound occurs when the integrity of any tissue is compromised for instance: skin breaks, muscle tears, burns, or bone fractures. This is very common with scale less fish such as catfish. Fish skin is divided into three layers namely: epidermis, dermis, and hypodermis. The skin is the outer covering of an animal, which forms a barrier against harmful microorganisms and chemicals entering the body. It has the ability to constantly renew itself after injury. It is highly vulnerable to injury owing to its position outside the body of the animal. The process of wound healing depends on how deep the wound is. Healing of wounds is characterized by synthesis of collagen. Wound-healing studies have been carried out on Heterobranchus bidorsalis juveniles [15], rainbow trout [87], channel catfish [88], and Nile tilapia [89]. Erazo-Pagador and Din [20] reported Clarias gariepinus fed with diets with dietary ascorbic acid had more rapid and complete wound healing. Histological examination by Erazo-Pagador and Din [20] revealed that at 14 days after wounding, fish fed with diets without ascorbic acid had normal epidermis and dermis but muscle tissues were still regenerating, whereas fish fed with diets containing ascorbic acid had normal epidermis, dermis, and muscle tissues. Rapid wound healing is especially important in the intensive culture of African catfish. This is because these species behave aggressively, have no scales, and have strong pectoral spines that can inflict wounds, especially at high stocking densities [20].
6. Conclusion
Having mentioned all the benefits that could be derived from using probiotics in fish production, it will be very imperative to embrace the use of this eco-friendly method in fish culture.
\n',keywords:"Lactobacillus fermentum, Saccharomyces cerevisiae, probiotics",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/58655.pdf",chapterXML:"https://mts.intechopen.com/source/xml/58655.xml",downloadPdfUrl:"/chapter/pdf-download/58655",previewPdfUrl:"/chapter/pdf-preview/58655",totalDownloads:1539,totalViews:178,totalCrossrefCites:3,totalDimensionsCites:13,totalAltmetricsMentions:0,impactScore:4,impactScorePercentile:89,impactScoreQuartile:4,hasAltmetrics:0,dateSubmitted:"September 26th 2017",dateReviewed:"December 5th 2017",datePrePublished:null,datePublished:"July 4th 2018",dateFinished:"January 8th 2018",readingETA:"0",abstract:"The use of chemotherapy in treating and enhancing the growth of fish has been widely criticized due to its negative environmental consequence. Hence, the use of probiotics which are bio-friendly seems to be a promising alternative. Therefore, the importance of probiotics in fish production was critically reviewed in line with their growth rate, disease treatment, and immune boosting. It was, however, realized that probiotics such as Lactobacillus fermentum and Saccharomyces cerevisiae cultured from maize slurry and palm wine, respectively, could serve as good probiotics, which could enhance faster growth rate and wound-healing rate. Probiotics are, therefore, recommended to the fish farmers so as to increase the profitability of the aquaculture business.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/58655",risUrl:"/chapter/ris/58655",book:{id:"6425",slug:"probiotics-current-knowledge-and-future-prospects"},signatures:"Olumuyiwa Ayodeji Akanmu",authors:[{id:"223206",title:"Dr.",name:"Olumuyiwa",middleName:"Ayodeji",surname:"Akanmu",fullName:"Olumuyiwa Akanmu",slug:"olumuyiwa-akanmu",email:"muyiakanmu@yahoo.com",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/223206/images/6163_n.jpg",institution:{name:"Osun State University",institutionURL:null,country:{name:"Nigeria"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Standards considered in selecting microorganisms as probiotics",level:"1"},{id:"sec_3",title:"3. Test for pathogenicity of the selected strains",level:"1"},{id:"sec_4",title:"4. The probiotics characteristics of Lactic acid bacteria and Yeast",level:"1"},{id:"sec_5",title:"5. Importance of probiotics in aquaculture",level:"1"},{id:"sec_5_2",title:"5.1. Application of probiotics as biological control agents in aquaculture",level:"2"},{id:"sec_6_2",title:"5.2. Probiotic use in fish eggs, larvae, juvenile, and adult fish",level:"2"},{id:"sec_7_2",title:"5.3. Improving the immune response of the fish larvae",level:"2"},{id:"sec_8_2",title:"5.4. Improvement of water quality",level:"2"},{id:"sec_9_2",title:"5.5. Improvement in fish growth",level:"2"},{id:"sec_10_2",title:"5.6. Improve the hematology of fish",level:"2"},{id:"sec_11_2",title:"5.7. Stress reduction in fish",level:"2"},{id:"sec_12_2",title:"5.8. Accelerates wound healing in fish",level:"2"},{id:"sec_14",title:"6. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'Adedeji OB, Okocha RC. Constraint to Aquaculture Development in Nigeria and Way Forward. 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Effect of handling and stocking density on hematocrit, plasma cortisol, and survival in wild and hatchery-reared chinnok salmon (Oncorhynchus tshawytscha). Aquaculture. 1993;112:291-299'},{id:"B71",body:'Iguchi K, Ogawa K, Nagae M, Ito F. The influence of rearing density on stress response and disease susceptibility of ayu (Plecoglossus altivelis). Aquaculture. 2003;220:515-523'},{id:"B72",body:'Ramsay JM, Feist GW, Varga ZM, Westerfield M, Kent ML, Schreck CB. Whole-body cortisol is an indicator of crowding stress in adult zebrafish, (Danio rerio). Aquaculture. 2006;258:565-574'},{id:"B73",body:'Bolasina S, Tagawa M, Yamashita Y, Tanaka M. Effect of stocking density on growth, digestive enzyme activity and cortisol level in larvae and juveniles of Japanese flounder, Paralichthys olivaceus. Aquaculture. 2006;259:432-443'},{id:"B74",body:'Zarejabad AM, Sudagar M, Pouralimotlagh S, Bastami KD. Effects of rearing temperature on hematological and biochemical parameters of great sturgeon (Huso huso Linnaeus, 1758) juvenile. Comparative Clinical Pathology. 2009;19:367-371'},{id:"B75",body:'Salari R, Saad CR, Kamarudin MS, Zokaeifar H. Effect of different stocking densities on Tiger grouper juveniles (Epinephelus fuscoguttatus) growth and a comparative study of the flow through and recirculating aquaculture systems. African Journal of Agricultural Research. 2012;7(26):3765-3771'},{id:"B76",body:'Tolussi CE, Hilsdorf AWS, Caneppele D, Moreira RG. The effects of stocking density in physiological parameters and growth of the endangered teleost species Piabanha bryconinsignis (Steindachner, 1877). Aquaculture. 2010;310(1-2):221-228'},{id:"B77",body:'Docan A, Cristea V, Grecu I, Dediu L. Haematological response of the European catfish Silurus glanis reared at different densities in flow through production system. Achiva Zootechnica. 2010;13:63-67'},{id:"B78",body:'Braun N, Lima RL, Baldisserotto B, Dafre AL, Nuner APO. Growth, biochemical and physiological responses of Salminus brasiliensis with different stocking densities and handling. Aquaculture. 2010;301:22-30'},{id:"B79",body:'Tintos A, Miguez JM, Mancera JM, Soengas JL. Development of a microtitre plate indirect ELISA for measuring cortisol in teleosts and evaluation of stress responses in rainbow trout and gilthead sea bream. Journal of Fish Biology. 2006;68:251-263'},{id:"B80",body:'Rafatnezhad S, Falahatkar B, Gilani MHT. Effects of stocking density on haematological parameters, growth and fin erosion of great sturgeon (Huso Huso) juveniles. Aquaculture Research. 2008;39:1506-1513'},{id:"B81",body:'Adikwu IA. Dietary carbohydrate utilization in tilapia: O. niloticus. Journal of Agricultural Science and Technology. 2003;2(1):33-37'},{id:"B82",body:'Edward A, Ladu BMB, Elihu A. Growth, survival and production economics of Clarias gariepinus fingerlings at different stocking densities in concrete tanks. African Journal of General Agriculture. 2010;6(2):59-66'},{id:"B83",body:'Kamal SM, Omar WA. Effect of different stocking densities on haematological and biochemical parameters of silver carp Hypophthalmichthys molitrix fingerlings. Life Science Journal. 2011;8(4):580-586'},{id:"B84",body:'Sohrab A, Soheil E, Imanpour MR. Effect of stocking densities on haematological parameters, growth and survival rate of Caspian roach (Rutilus rutilus caspicus) larvae. Journal of Chemical Biological and Physical Sciences. 2013;3(2):1320-1326'},{id:"B85",body:'Asadi R, Imanpour MR. Effects of Stocking Density on some Haematological Parameters and Growth of Great Sturgeon (Huso huso) Juveniles; First Conference on Caspian Sea Resources. Gorgan Iran: Gorgan University of Agricultural Sciences and Natural Resources; 2008'},{id:"B86",body:'Binukumari S, Anbarasi S. Effects of stressors on haematological parameters in the freshwater fish Cyrinus carpio. International Journal of Current Research. 2011;3(9):42-44'},{id:"B87",body:'Halver JE, Ashley LM, Smith RR. Ascorbic acid requirements of Coho Salmon and Rainbow trout. Transactions of the American Fisheries Society. 1969;98:762-771'},{id:"B88",body:'Lim C, Lovell RT. Pathology of the vitamin C deficiency syndrome in channel catfish (Ictalurus punctatus). The Journal of Nutrition. 1978;108:1137-1146'},{id:"B89",body:'Jauncey J, Soliman AK, Roberts RJ. Ascorbic acid requirements in relation to wound healing in the cultured tilapia Oreochromis niloticus (Trewavas). Aquaculture and Fisheries Management. 1985;16:139-149'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Olumuyiwa Ayodeji Akanmu",address:"olumuyiwa.akanmu@uniosun.edu.ng",affiliation:'
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1. Introduction
The future cellular network is envisioned to support a variety of emerging mission-critical services such as industrial automation, cloud robotics, and safety-critical vehicular communications [1]. These mission-critical services usually have stringent requirements on latency, jitter, and reliability. In general, the required end-to-end latency is in the order of millisecond, while the probability that this requirement is met is expected to be as high as 99.999%. For example, the communication latency between sensors and control nodes for industrial automation has to be lower than 0.5 milliseconds, while that for virtual and augmented reality has to be lower than 5 milliseconds [1]. As an integral part of the cellular network, the transport network, referred to as the segment in charge of the backhaul of radio base stations and/or the fronthaul of remote radio unit, plays an especially important role to meet such a stringent requirement on latency.
The latency in transport networks can be reduced by moving the computing, storage, control, and network functions to the edge of the network, referred to as fog computing or edge computing, instead of performing all the functions in remote data centers. Fog computing is a new paradigm that can be integrated with the existing cellular networks (e.g., aggression points, base stations) to provide ultra-low-latency communication for time-critical services [2]. Thus, end users can access the applications (e.g., remote driving) hosted in fog nodes with low transport latency.
A fog node can be a terminal or a stand-alone node, which can be co-located with the existing cellular network infrastructure, such as router, gateway, aggregation points, and base stations (BS) [3]. Among them, BS (e.g., LTE evolved Nodes B) is a promising segment that can be integrated with fog nodes, which forms BS-Fog, giving rise to a new concept of fog enabled cellular networks (FeCNs). Such FeCN can be a promising candidate to support real-time services (e.g., real-time vehicular services) due to the ubiquitous access to radio access network (RAN) infrastructure as well as low communication delay enabled by fog computing. Figure 1 illustrates the overall FeCN architecture.
Figure 1.
Service migration in fog computing enabled cellular networks.
In the FeCN, the BSs are responsible for providing network functions (e.g., handovers), whereas computational resources (e.g., computing and storage capability) can be provided by the fog nodes locally. One BS-Fog can cooperate with other BS-Fogs or cloud to allocate tasks dynamically. We design the FeCN with minimal changes on the current network architecture and reuse the existing interfaces. The S1 interface, which has been defined as the interface between the BS and the evolved packet core in LTE networks, is considered to realize the communications between the BS-Fog and cloud for the FeCN, while the interface X2, which has been defined as the interface between two BSs, is considered to support the communications among the BS-Fogs.
In the FeCN, it is possible to provide computing and storage capability closer to end users to support time-critical services. However, there are several challenges remaining to be addressed. Firstly, a fog node may be overloaded due to limited computing resources. Secondly, for high-mobility end users, the limited coverage of a single fog node may result in performance degradation in terms of latency when the user is moving far away from the serving node. In both cases, services need to be migrated to satisfy the quality-of-service (QoS) requirement. Service migration [4], which is referred to as relocating services from one fog node to another, has been proposed to deal with such challenges. As shown in Figure 1, once a single fog node is overloaded, service migration is triggered to offload this fog node to other fog nodes or edge servers. Besides, when users move from the area covered by one fog node to another, time-critical services are required to be migrated accordingly in order to follow the users’ movement and maintain the service continuity with satisfying stringent latency requirements for these services. Since service migration may take time, which may result in service interruption, it needs to be handled carefully with consideration of the service requirements of differentiated traffic and the available network resources.
This chapter describes mechanisms and algorithms to deal with service migration in the FeCN. In Section 2, a QoS-aware service migration strategy is proposed. The strategy is based on the existing handover procedures, and the performance is studied with connected vehicle use cases. Following the proposed service migration strategy, in Section 3, a distributed fog computing resource management scheme is proposed to deal with limited computational resources at fog nodes. The scheme considers services with differentiated priority level, and in case of resource shortage, low-priority services may be migrated to other fog nodes to guarantee sufficient computation resources for the migrated high-priority services. The performance of the proposed schemes is evaluated by a case study, where realistic vehicle mobility pattern in the metropolitan network scenario of Luxembourg is used to reflect the real-world environment. Results show that low end-to-end latency (e.g., 10 ms) for vehicular communication can be achieved with typical vehicle mobility.
During service migration, both the traffic generated by migration (referred to as migration traffic) and other traffic (referred to as non-migration traffic, e.g., control information, video) are transmitted via mobile backhaul networks. To balance the performance of the two kinds of traffic, in Section 4, a delay-aware bandwidth slicing scheme is proposed in PON-based mobile backhaul networks. The proposed slicing scheme on one hand tries to guarantee the performance of the migration traffic, while on the other hand trying to minimize the negative impact on non-migration traffic. Simulation results show that, with the proposed method, migration data can be transmitted successfully within a required time threshold, while the latency and jitter for non-migration traffic with different priorities can be reduced significantly.
2. Service migration strategy in FeCN
Paper [5] presents a QoS-aware service migration strategy with connected vehicles as a use case to represent the high-mobility characteristic. In the context of FeCN, a vehicle is traveling while accessing a fog node. To maintain the service continuity, the vehicle needs to continue accessing the fog node and the provisioned running services through backhaul networks. When the vehicle travels away from the serving BS-Fog, the end-to-end (E2E) latency will increase, especially for the case that the vehicle does not have fixed routes. In order to keep the vehicle always accessing the fog services in one hop, the ongoing service can be migrated following the vehicle’s trace. One straightforward strategy is to perform migration in combination with the handover procedure. This can guarantee one-hop access where a vehicle can directly access the services at its associated BS-Fog. However, since service migration cannot always be completed immediately, this may lead to a situation where users experience loss of service access. Therefore, frequent service migration is not always a good choice, and service migration needs to consider the QoS requirements of services.
2.1 QoS-aware service migration strategy
In view of the disadvantages of handover-based service migration strategy, we present a QoS-aware service migration strategy which is based on the existing handover procedure and considers the service QoS requirements. The key idea is to minimize the migration overhead while maintaining the E2E latency at an acceptable level under certain QoS requirements. E2E latency is a key QoS metric for real-time vehicular communication. When the E2E latency is at an unacceptable level, the performance of other metrics (e.g., reliability and packet drop) can also get worse. Therefore, in the proposed scheme, we focus on the metric of E2E latency to explain our proposed QoS-aware service migration strategy. The generalization of the proposed scheme to other QoS metrics is straightforward.
Figure 2 illustrates the service migration strategy, and Figure 3 shows the communication protocol for the proposed QoS-aware service migration scheme. As illustrated, once the QoS requirements cannot be satisfied, the source BS-Fog node will trigger the service migration procedure and sends a Migration Request message that contains the information about the QoS requirements of the affected services to the target BS-Fog. After receiving the Migration Request message, the target BS-Fog will first make a decision whether to accept or not, and then sends back a Migration Request ACK to inform the source BS-Fog of its decision. If the request is agreed, the source Fog-BS will start implementing the migration.
Figure 2.
Illustration of a QoS-aware service migration [5].
Figure 3.
Communication protocol to support QoS-aware service migration [5].
In the proposed scheme, service migration can be achieved by pre-copy technique which is widely used for live virtual machine (VM) migration, as presented in [6]. The migration can be performed in two phases. In the first phase, the transfer of memory pages to the target BS-Fog is completed iteratively without suspending VM. In this phase, the UE still accesses the source BS-Fog (see blue dashed line in Figure 3). In the second phase when sufficient memory pages are transferred, the source BS-Fog will suspend the VM and finish transferring the remaining memory pages to the target BS-Fog. The services cannot be properly accessed during this period when the VM is suspended. Such duration is denoted as downtime. After the migration is completed, the UE can directly access the service in one hop (see red dashed line in Figure 3).
2.2 Performance evaluation
In this section, the performance of the proposed migration strategy is evaluated by using simulation. Here, the fog computing resources allocated for migrated services are assumed to be sufficient. This can be realized by designing efficient fog computing resource management schemes. We consider a case study for a small service area by using the realistic mobility pattern for the country of Luxembourg, and BS-Fog entities are evenly distributed over the city. The parameters used in this simulation are described in Table 1.
The performance of the proposed delay-aware migration (named Scheme 3) is evaluated in comparison to two benchmarks: no service migration (named Scheme 1) and always service migration (named Scheme 2). The details of Scheme 1 and Scheme 2 are introduced in paper [5]. The handover interruption time and wireless delay cannot be ignored and are not affected by migration strategies. Therefore, it is assumed that the uplink delay in the wireless segment is within 0.5 ms and the handover interruption time is a constant.
The average E2E latency for the three schemes is shown in Figure 4. Here, E2E latency consists of wireless access delay, interruption time during the handover, migration time, backhaul delay, and processing and queuing delays at the BS-Fogs. The transmission capacity is denoted as B and refers to the bandwidth allocated to the X2 interface between two Fog-BSs. It can be seen that the E2E latency in all three schemes decreases as B increases, especially for Scheme 1. This is because higher bitrate leads to shorter packet transmission time. Thus, the packet queueing delay can be reduced, resulting in smaller access latency. When B is high enough (e.g., B = 240 Mbps in Figure 4), the queueing delay is as minor as negligible. Meanwhile, in Scheme 2, the E2E latency is mainly affected by downtime (Dt), during which the ongoing services need to be suspended.
Figure 4.
Transmission capacity (B) in the backhaul versus average end-to-end latency.
In Scheme 3, the service migration is triggered once the latency exceeds the threshold (e.g., 10 ms in Figure 4). Scheme 3 is considered as a tradeoff between Scheme 1 and Scheme 2. When B is low, Scheme 3 performs similar to Scheme 2, that is, frequent migrations are performed in both schemes (see Figure 5). As B increases, there are fewer and fewer migrations triggered in Scheme 3. Thus, the E2E latency is less and less affected by downtime. Therefore, Scheme 3 has similar performance with Scheme 1 when B is high and performs better than Scheme 2 when downtime is large (e.g., 0.3 s), as shown in Figure 5.
Figure 5.
The average number of migrations for a vehicle as a function of transmission capacity.
3. Distributed fog computing resource management
During the service migration procedure, sufficient computation resource is needed to host the migrated services. Also, provisioning resource for the migrated real-time services needs to be completed as soon as possible to minimize the service interruption. Otherwise, the services have to stay at the source fog node, which may increase the access delay. On the other hand, one single fog node only has limited amount of computation resource, and its load is highly burst due to the mobility of vehicles. The service migration strategy discussed in the previous section assumes sufficient resources for the migrated services, which may not always hold in practice. Thus, it is important to employ efficient resource management scheme, especially in the scenarios with fast mobility and high load.
To guarantee sufficient computation resource for the migrated vehicular services and thus reducing the service migration blocking caused by the lack of computing resources, a distributed fog computing resource management scheme is proposed [9]. Two distributed fog computing resource management schemes, namely, fog resource reservation (FRR) and fog resource reallocation (FRL), have been considered. In FRR scheme, a certain amount of computation resources for vehicular services in each fog node are reserved based on the predicted vehicular traffic load. The performance of this scheme depends on the traffic flow prediction methods. Overestimating leads to low resource utilization, while underestimating significantly decreases one-hop access probability for high-priority (HP) vehicular services (e.g., remote driving, pre-crash sensing warning). For FRL, the key idea is to release part of fog resources used for low-priority (LP) services (e.g., online game, navigation, sign notification) by suspending those services and reallocate them to HP services. However, in such a scheme, the one-hop access probability for LP services may be affected, especially when traffic load is high. In fact, not all the LP services (e.g., online game) need to have one-hop latency requirement and local awareness. Therefore, such services can be placed in its neighboring fog nodes with low load.
3.1 Distributed computing resource management
As introduced above, in both FRR and FRL, each BS-Fog node manages its resource independently without cooperating each other. Once it is overload, the one-hop access probability for LP services may be affected. Considering that some LP services also have one-hop latency requirement, we proposed an online resource management (ORM) scheme, in which fog nodes can cooperate to allocate resources for both HP and LP services [10]. In comparison to FRL, LP services are not suspended, but instead, they are migrated to other neighboring BS-Fogs. This can guarantee the resource requirement of the to-be-migrated HP services as well as LP service continuity. The details are as follows.
When a vehicle moves from one BS-Fog’s coverage area to another, both handover and migration of ongoing services need to be handled. As shown in Figure 6, once the handover is triggered, the source Fog-BS sends a Migration Request message to the target BS-Fog, which includes the information of the requested resources. After receiving this message, the target Fog-BS will make a decision whether to accept the request or not according to the resource management strategy.
Figure 6.
Illustration of resource management in service migration procedure [10].
In this part, we consider two scenarios used for the resource management strategy. In the first scenario, there is sufficient available resource in the target BS-Fog, the request is approved, and the corresponding resource is assigned to the migrated HP services (see Scenario ① in red dotted box in Figure 6).
In the second scenario, the target BS-Fog does not have enough available resource. In such a case, the target BS-Fog selects ongoing LP services and migrates them to its neighboring BS-Fogs. After that, the resources of the selected LP services are released for HP services. As shown by Scenario ② in blue dashed box in Figure 6, the procedure is divided into two phases. In the first phase, LP services to be migrated are selected according to service selection strategies, while in the second phase, the target BS-Fog selects one of its neighboring BS-Fogs to host the migrated LP services. For such a purpose, the target BS-Fog firstly broadcasts a Migration Request message to its neighboring BS-Fogs that have direct communication with the target BS-Fog via X2 interface. Once the neighboring BS-Fogs receive the Migration Request messages, they will check their available resource and then send Migration Request ACK to the target BS-Fog. A final decision on the selection of neighboring BS-Fog is made by the target BS-Fog immediately. When the selected LP services complete the migration and release their resources, the target BS-Fog sends a Migration Request ACK to the source BS-Fog for HP service migration. If there are no available LP services or neighboring BS-Fogs, the to-be-migrated HP service has to run at the source BS-Fog and the vehicle has to access the service with more than one hop (i.e., the hop(s) between two neighboring BS-Fogs have to be counted for access), which may obviously result in a higher access delay. The selection strategies of LP services and neighboring BS-Fogs are discussed in the following section.
3.1.1 Low-priority service selection algorithm
In the proposed scheme, the selected LP services are migrated from the target BS-Fog to the selected neighboring BS-Fog, which will be accessed via backhaul networks. In such a procedure, a certain amount of backhaul bandwidth is needed for service migration and running the selected LP services. To minimize the required bandwidth, we propose a LP service selection algorithm to minimize the communication cost. The amount of the required bandwidth resources for each LP service is firstly counted. Then, the LP services whose available computing resources are larger than the requested amount are selected. Among these services, the one with the lowest communication cost is finally selected. If there is no service that satisfies the requirement alone, more than one service can be selected. In order to avoid ping-pong effect in LP service migration, LP services are only allowed to be migrated once.
3.1.2 Neighboring fog-BS selection algorithm
Once the LP services to be migrated are decided, neighboring BS-Fogs that will host the migrating services need to be decided. The decision needs to consider the QoS of those services since after migration, the services will be hosted at the selected neighboring BS-Fog and accessed with two hops, which results in extra backhaul delay. As LP services are only allowed to be migrated once, the access delay for the migrated LP services consists of radio access delay and backhaul delay. According to the delay requirement of the selected LP service, the budget of backhaul delay can be calculated. The transmission delay between the target BS-Fog and its neighboring BS-Fog should thus be smaller than the budget of backhaul delay. The key idea of the proposed algorithm is to select the neighboring BS-Fog with the most available resources under the acceptable backhaul delay of the to-be-migrated LP service.
3.2 Performance evaluation
In this section, the performance of the proposed scheme is investigated through simulation. The realistic mobility pattern for the city of Luxembourg is used. Figure 7 shows the vehicular traffic profile in Luxembourg, which varies in time over a day. Also, the vehicular traffic is spatially diverse. For example, the inserted chart (a) in Figure 7 shows the numbers of vehicles in each coverage area of BS-Fogs at 8:00 am, while the inserted chart (b) in Figure 7 shows the numbers of vehicles at 12:00 pm. The Y-axis shows the number of vehicles, while the X-axis is the series number of BS-Fog.
Figure 7.
Vehicular traffic profile in Luxembourg [10].
Each vehicle is assumed to only require 1 HP service (i.e., safety-related service). The data traffic distribution is proportional to the vehicular traffic. Without loss of generality, we assume the total service request arrival rate for the BS-Fog network is in the range from 20 to 100 (per second). The arriving requests consist of 30% of HP and 70% of LP services. The HP service arrival rate is distributed among the BS-Fogs according to the traffic profile at 8:00 am (see Figure 7(a)), while the LP service arrival rate is distributed among BS-Fogs evenly. Both HP and LP services arrive according to Poisson Procedure. The parameters are shown in Table 2.
Parameter
Value
Total number of computing units in one fog
400
Number of BS-Fogs in the network
100
Number of computing units for each HP service
3
Number of computing units for each LP service
(2, 6)
Average serving time in one fog for HP service (second)
90
Standard deviation of the serving time for HP service (second)
10
Average serving time in one fog for LP service (second)
120
Budget of backhaul delay for LP services (millisecond)
The performance of the proposed scheme is investigated in terms of access probability for HP services and service unavailability for LP services. Here, one-hop access probability is defined as the ratio of the one-hop service access duration to the total holding time. Similarly, service unavailability is defined as the ratio of the time when service is not available to the total holding time. Here, the services may be unavailable due to the lack of resources in the current BS-Fog and its neighbors, as well as due to the interruption during service migration. As discussed, to increase one-hop access probability while reducing service unavailability, migration time for both HP and LP services should be minimized, which is related to the transmission time in the mobile backhaul network. Transmission capacity B becomes the main factor that affects the delay performance.
Figure 8(a) shows that one-hop access probability for HP services versus service arrival rate. As expected, due to the fact that the migration delay for both HP and LP services can be reduced by enlarging backhaul capacity, larger transmission capacity (B) leads to higher one-hop access probability, which benefits the reduction of migration time. As also shown, when B is large (e.g., B = 200Mbps), a higher number of neighbors (N) lead to a better one-hop access probability, while when B is small, the increase of N has little impact on the one-hop access probability for HP services. This is because with a smaller B, the backhaul delay between the target and the neighboring BS-Fogs is higher, and the number of neighboring BS-fogs that satisfy the latency requirement decreases, even when N is high. Figure 8(b) shows LP service unavailability as a function of service arrival rate. Similarly, increasing backhaul capacity B leads to a lower migration delay and thus a reduced service unavailability.
Figure 8.
One-hop access probability and service unavailability versus service arrival rate.
We further compare the performance of the proposed ORM scheme with two benchmarks. The first benchmark is based on the principle of first come first served (FCFS), in which HP and LP services are treated equally. The second benchmark is FRR where a certain amount of resource is reserved for HP. Figure 9(a) shows that, in comparison to FCFS and FRR, the one-hop access probability of HP services for ORM is higher when B is large (e.g., B = 200 Mbps). When B decreases to 100 Mps, the one-hop access probability for ORM shows different results based on the service arrival rate. When the service arrival rate is below 60 arrivals per second, it is higher than that for both FCFS and FRR, while when the service arrival rate increases above 60, the one-hop access probability remains higher than that for FCFS but lower than that for FRR. The reason is that more LP services need to be migrated to the neighboring BS-Fogs when the service traffic arrival rate increases, which results in high migration traffic, thus increasing the migration delay.
Figure 9.
One-hop access probability and service unavailability versus service arrival rate.
Figure 9(b) shows that the service unavailability for LP services increases with service arrival rate for all methods, and that of ORM is shown to be the lowest in comparison with the two benchmarks. As also can be seen, transmission capacity B has impacts on the service unavailability for LP services. With a higher B = 200 Mbps, ORM demonstrates significant lower LP service unavailability at all service arrival rates, that is because a larger B results in a shorter time used for migrating LP services; thus service unavailability can be reduced. When B is decreased to be at 100 Mbps, service arrival rate is shown to affect the performance of ORM. With a service rate under 60 arrivals per second, ORM has very similar performance regarding LP service unavailability in comparison with that for FCFS. When the service rate is above 60, ORM demonstrates the advantages over FCFS with a lower LP service unavailability. The reason is that, in the case of FCFS, the migration delay is mainly introduced by the waiting time for the available resources. Since a larger arrival rate leads to a longer waiting time, the performance of FCFS degrades. As another general observation, though ORM demonstrates better performance, the migration delay is shown as an important factor that affects the performance in terms of one-hop access probability and service unavailability, indicating that migration delay needs to be properly handled.
4. Bandwidth slicing in mobile backhaul networks
In previous sections, service migration strategy and fog computing resource management scheme have been investigated to support real-time vehicular services. As indicated, mobile backhaul capacity is a main factor that affects the performance of the service migration schemes. Regarding this matter, passive optical network (PON) based mobile backhaul network can be considered to support FeCN due to its high capacity.
In PON-based mobile backhaul network supporting the FeCN, the BS-Fogs are integrated with optical network units (ONUs) through high-speed Ethernet interface, shown in Figure 10. The traffic generated by service migration, named migration traffic, is transmitted together with the non-migration traffic. On the one hand, the size of the data generated by service migration can be up to hundreds of MBytes [12]; thus, such migration traffic can be fragmented into Ethernet frames at ONUs and should be carefully handled by the optical line terminal (OLT) that is located at the central office. On the other hand, service migration is usually deadline-driven and has to be handled within a certain time limit. We define migration delay as the time duration from the moment when a migration is initiated until the affected service is successfully transferred to the target fog node. In order to minimize the service interruption, the migration delay should be lower than a pre-defined time threshold, which is usually specified in the QoS requirements and in a magnitude of seconds [13]. The non-migration traffic includes data generated by multi-type applications, which usually have different QoS requirements but less stringent in terms of latency, packet loss ratio, etc. These different types of the non-migration traffic can be queued independently and scheduled with different priorities according to medium access control (MAC) protocol in Ethernet PON [14]. Likewise, the migration traffic can be also queued based on their deadline requirements.
Figure 10.
PON-based mobile backhaul for the FeCN.
Time and wavelength division multiplexing (TWDM-PON) has been regarded as a promising candidate for next-generation PON 2 (NG-PON 2), where dynamic bandwidth allocation (DBA) mechanisms are performed on each wavelength for efficient channel sharing [15]. In a classical DBA algorithm, migration traffic and non-migration traffic are scheduled with no distinction. Each ONU reports to the OLT the amount of data that needs to be transmitted in the next cycle and then receives a grant message. According to the information contained in the grant message, including the allocated time slots and polling cycle for transmission, each ONU transmits data based on the principle of FCFS without considering the traffic priorities. Once a service migration occurs, a large volume of migration data arrives, and more than one polling cycle may be needed for the transmission. In such a case, the non-migration data that arrives after the migration data has to wait before being transmitted, thus experiencing a long queuing delay, leading to high latency and jitter. One way to deal with this is to assign higher priority to non-migration traffic that arrives after the migration traffic based upon the existing QoS management mechanism in Ethernet PON. In such a case, the delay for the non-migration traffic can be reduced significantly. However, short delay for transmitting the migration traffic that comes after may not be guaranteed, particularly when the load of non-migration traffic is high.
For balancing the transmission of migration traffic and non-migration traffic, we propose a dynamic bandwidth slicing (DBS) scheme with a bandwidth slicing mechanism and a tailored delay-aware resource allocation algorithm. We present the DBS in the following part together with simulation results.
4.1 Bandwidth slicing mechanism
A bandwidth slicing scheme for service migration in PON-based mobile backhaul networks is proposed [16]. In the scheme, the cycle time can be cut into several slices dynamically, which are provisioned to different kinds of traffic (i.e., migration traffic and non-migration traffic with different priorities). Such a mechanism is based on the report-grant mechanism, as introduced in the previous section. In each polling cycle, request messages are first sent from each ONU to the OLT containing the information about their data size and delay requirements. According to such information, the polling tables (see Figure 10) for both non-migration data and migration data are then updated. Once service migration occurs, the lengths of the slices for both migration and non-migration traffic can be calculated by the resource management controller located at the OLT with the bandwidth allocation algorithms and the information contained in the polling table.
Figure 11 illustrates in more detail the proposed bandwidth slicing mechanism. Following similar principles of the considered DBA algorithms, in each polling cycle, the time slots in Slice 1 and Slice 2 are allocated to the non-migration traffic and the migration data, respectively. As mentioned, the lengths of the slices are decided dynamically based on the traffic and resource allocation algorithms. In the case where there is no migration data to be transmitted, the proposed mechanism performs in the same way as the classical DBA mechanism with a FCFS fashion. Note that the same principle as the proposed mechanism applies to both the upstream and downstream.
Figure 11.
Illustration of the proposed bandwidth slicing mechanism.
4.2 Delay-aware resource allocation algorithm
Following the proposed bandwidth slicing mechanism, a tailored delay-aware resource allocation algorithm is proposed with the aim to transmit migration traffic within the required deadline by cutting the large-size migration traffic into small pieces and transmitting them at each polling cycle. Such an algorithm is implemented at the end of Slice 1 in each polling cycle. First, the OLT acquires the information of the amount of the non-migration traffic that ONUs need to send in the next polling cycle and their priorities contained in the Report messages. If service migration occurs, such messages also contain the information of the sizes and deadline of the migration data that ONUs need to send. Then, the length of the slice for the migration traffic (Sm) can be calculated by OLT, and the migration mechanism will be triggered. In such a case, as illustrated in Figure 11 the bandwidth slicing mechanism, the polling cycle will be divided into two slices for non-migration traffic (Slice 1) and migration traffic (Slice 2), respectively. The time slots in Slice 1 are allocated to ONUs for non-migration traffic according to their priority level, while the time slots in Slice 2 are allocated to the migration traffic according to the ascending order of the deadline for finishing migration. Here time slot allocation is purely based on incoming traffic, and with high migration traffic load, it can be expected that the time slots are monopolized. To avoid such situation, a hard threshold θ is introduced as the percentage of the total time slots that can be allocated to migration traffic within each polling cycle.
In the proposed algorithm, the calculation of the lengths of slices in each polling cycle plays a very important role and is described in more detail in the following part. The symbols used are explained in Table 3. In each polling cycle (e.g., ith polling cycle), the required time slots (Gij,k) for the kth migration traffic from theONUj can be calculated by
Symbol
Explanation
Rij,k
Required time slot for the remaining of the kthmigration traffic from the ONUj in the ithpolling cycle
Dj,k
Deadline for the kth migration traffic sent by ONUj
Tij,k
Remaining time for transmitting the kth migration traffic sent by ONUj, which starts from the beginning of the ith polling cycle to its deadline
Kj
Number of the migration tasks in the ONUj
BR
Transmission time for sending each report and grant massage
BG
Guard time with a fixed value for the slice of the migration traffic in the ith polling cycle
Bij,l
Length of the requested time slots for the non-migration traffic with the lthpriority at the in the ith polling cycle
Hj
Number of priority levels for the non-migration traffic at the ONUj
Table 3.
Explanation of symbols.
Gij,k=Rij,k/Tij,k/WmaxE1
In the proposed resource allocation algorithm, the length of the polling cycle (W) varies dynamically with the traffic load. Thus, when calculating the required time slots in the current polling cycle, the maximum polling cycle (Wmax) is used to guarantee that the transmission of the whole migration traffic can be finished before the deadline. Here, the time unit (μs) is used to represent the length of the time slots and polling cycles. Then, the total length of the time slots granted for the migration traffic (TGij,k) can be calculated by
TGij,k=∑j=1N∑k=1KjGij,kE2
To guarantee the fairness between the migration and non-migration traffic, the length of the granted time slots cannot exceed the maximum allowed length of the time slots in this polling cycle, which can be calculated by.
Rim=(Wmax−N×BR+BG)×θE3
The maximum length of the allocated time slots for the migration traffic is set by the threshold (θ) for the slice of the migration traffic (θ∈01). Thus, the time slots granted for the migration traffic in the ithpolling cycle can be calculated by
TGij,k=TGij,k,TGij,k<RimRim,TGij,k≥RimE4
In the ith polling cycle, the length of the slice for the migration traffic (Sim) equals to the total length of the granted time slots (TGij,k). Then, for the non-migration traffic (Cit) with different priorities, the total length of the granted time slots can be calculated by
Cit=∑j=1N∑l=1HjBij,lE5
For the non-migration traffic, the maximum available time slot (Cia) can be calculated by
Cia=Wmax–Sim−N×BR+BGE6
Then, the granted time slots can be calculated by
Cit=Cit,Cit<CiaCia,Cit≥CiaE7
Similarly, in the ithpolling cycle, the length of the slice for the non-migration traffic (Sin) equals the total length of the granted time slots (Cit).
4.3 Performance evaluation
The performance of the proposed algorithm has been investigated through simulation and is also further compared with two benchmarks that are based on the conventional DBA algorithms [15]. In Benchmark1, the migration traffic and non-migration traffic follow FCFS, while in Benchmark2 a higher priority is given to the non-migration traffic. Besides, in both benchmarks, the non-migration traffic is assumed with two priority levels (e.g., low and high). Table 4 summarizes the main parameters.
Parameter
Value
Number of ONUs in a PON
8
Propagation delay in the optical links
5 μs/km
Packet size of Ethernet frame (bytes)
(64, 1518)
Guard time between two consecutive time slots
1 μs
Buffer size (Mbytes)
100
Amount of data encapsulated in application VMs (Mbits)
As mentioned, a threshold θ is introduced to regulate the allocation of time slots within each polling cycle. It has been shown that with θ set to 1, 85% of the time slots in the overall polling cycle are allocated to the migration traffic at load = 0.9. In the following simulation, different values have been chosen to illustrate the impacts.
Figure 12 illustrates the migration success probability (MSP) versus traffic load. Here, MSP is defined as the ratio of the amount of services migrated before the required deadline over the total amount of services that are migrated. As shown, MSP decreases with increasing traffic load in Benchmark2 and DBS with different thresholds. At a lower traffic load (e.g., less than 0.4), all three schemes achieve high MSP, while when the traffic load is above 0.4, MSP starts to decrease. For Benchmark1, MSP shows very minor changes when traffic load increases with almost 1 when traffic load is 0.9. This is because according to the principle of FCFS, large-size migration traffic can be fully transmitted in several cycles once the migration starts. On the other hand, in Benchmark2, the MSP for the migration traffic decreases sharply due to the fact that non-migration traffic is prioritized. As shown, MSP is as low as 0.1 when the traffic load is 0.9. For DBS, all the migration tasks can be performed within the time constraints when the traffic load is under 0.5. When the traffic load is higher than 0.6, the MSP performance is mainly affected by the threshold of the allowable time slots that can be used for the migration traffic and increases as the threshold increases. For example, with the threshold set to 0.5, MSP can be up to 0.98 at load of 0.7.
Figure 12.
The migration success probability versus traffic load.
The average E2E latency for the non-migration traffic with high priority is shown in Figure 13(a) as a function of load. It can be seen that the proposed scheme and two benchmarks have a similar trend, that is, the average latency increases with traffic load. Among the three schemes, Benchmark1 always has the highest average E2E latency which can be up to 100 ms when traffic load is 0.9. Such large latency may not be accepted for time-critical services (e.g., interactive voice). Compared with Benchmark1, the average E2E latency in Benchmark2 increases more slowly even when the traffic load is high. The reason is that the non-migration traffic in Benchmark2 has high priority to be transmitted. Compared with Benchmark1 and Benchmark2, the average E2E latency for DBS is much lower, which is less than 1 ms when the traffic load is lower than 0.5 and remains to be less than 10 ms even at high traffic load. This is due to the fact that the migration traffic can be transmitted in multiple cycles by partitioning those with large size into multiple smaller pieces; thereby the non-migration traffic that arrives after or during the transmission of migration traffic does not need to wait too long for transmission. Furthermore, when the threshold increases, the allocated time slots for transmitting the non-migration traffic decreases; thus the average E2E latency increases. Regarding the jitter for the non-migration data with high priority, a similar trend as the average E2E latency can be found, as shown in Figure 13(b).
Figure 13.
(a) The average latency and (b) jitter for the non-migration data with high priority.
The average E2E latency of the low-priority non-migration data with different traffic loads is shown in Figure 14(a). Similar to high-priority non-migration traffic, a general trend is that E2E latency increases with the traffic load for all schemes. When the traffic load is low, all kinds of traffic can be assigned with sufficient time slots, while when the traffic load increases, the average E2E latency for the low-priority non-migration traffic increases sharply because of its large queueing delay. More specifically, Benchmark1 has the highest average E2E latency among the three schemes. Compared with Benchmark1, the average E2E latency in Benchmark2 is much lower. And when traffic load is low (e.g., less than 0.6), the average latency of the low-priority non-migration traffic in DBS is the lowest, which is smaller than 2 ms. However, the latency of DBS increases quickly with larger thresholds (e.g., larger than 0.5) and exceeds the level observed for Benchmark2 when traffic load is high (e.g., higher than 0.7). The reason is that the time slots are prioritized for the non-migration traffic with high priority and the migration traffic; thus the low-priority non-migration has to wait. The jitter shows similar trend as the E2E latency, as shown in Figure 14(b).
Figure 14.
The average (a) latency and (b) jitter for the non-migration data with low priority.
5. Conclusions
This chapter presents a concept of fog enabled cellular networks (FeCN), where computing, storage, and network functions are provisioned closer to end users in order to improve the service QoS. In addition, to guarantee service continuity and QoS, service migration is introduced to ensure that services always follow the end users through migration from the current fog server to the target one. A QoS-aware service migration strategy based on the existing handover procedures is firstly proposed to balance the benefits and costs of migration. A case study using a realistic vehicle mobility pattern for Luxembourg scenario is carried out through simulation to evaluate the performance of the proposed schemes. Results show that low end-to-end latency (e.g., 10 ms) for vehicular communication can be achieved, while the total number of migrations for each user in the whole journey can be decreased significantly.
To deal with the situation that the target fog node does not have enough resources to support the migrated services, a distributed fog computing resource management scheme is introduced. The scheme purposely selects low-priority (LP) services and migrates those services to carefully selected neighboring fog nodes so that QoS for high-priority (HP) migration services can be served at the target fog node. LP service selection algorithm is proposed to minimize the migration costs for those services, and neighboring fog node selection algorithm is proposed for selecting a fog node that provides enough resources for LP services with also satisfied QoS. Simulation results show that the one-hop access probability for HP services increases significantly, while the service unavailability for LP services can also be well reduced.
During service migration, both the traffic generated by migration and other traffic (e.g., control information, video) are transmitted via mobile backhaul networks. To balance the performance of the two kinds of traffic, we propose a delay-aware bandwidth slicing mechanism in PON-based mobile backhaul networks. The method tries to guarantee the transmission of migration traffic within the deadline, while at the same time minimizing the negative impact on non-migration traffic. Simulation results show that migration data can be transmitted successfully in a required time threshold, while the requirements of latency and jitter for non-migration traffic with different priorities can be well satisfied.
Acknowledgments
This work is supported in part by SJTU State Key Laboratory of Advanced Optical Communication System and Networks Open Project 2018GZKF03001, Swedish Research Council (VR) project 2016-04489 “Go-iData,” Swedish Foundation for Strategic Research (SSF), and Chalmers ICT-seed grant.
\n',keywords:"fog computing, mobile backhaul, low-latency service migration, bandwidth slicing, distributed fog resource management, vehicular communications",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/71376.pdf",chapterXML:"https://mts.intechopen.com/source/xml/71376.xml",downloadPdfUrl:"/chapter/pdf-download/71376",previewPdfUrl:"/chapter/pdf-preview/71376",totalDownloads:587,totalViews:0,totalCrossrefCites:0,dateSubmitted:"October 7th 2019",dateReviewed:"January 30th 2020",datePrePublished:"March 9th 2020",datePublished:"August 18th 2021",dateFinished:"March 9th 2020",readingETA:"0",abstract:"This chapter presents a fog computing enabled cellular network (FeCN), in which the high user-mobility feature brings critical challenges for service continuity under stringent service requirements. Service migration is promising to fulfill the service continuity during mobility. However, service migration cannot be completed immediately and may lead to situations where the user-experience degrades. For this, a quality-of-service aware service migration strategy is proposed. The method is based on existing handover procedures with newly introduced distributed fog computing resource management scheme to minimize the potential negative effects induced by service migration. The performance of the proposed schemes is evaluated by a case study, where realistic vehicular mobility pattern in the metropolitan network of Luxembourg is used. Results show that low end-to-end latency for vehicular communication can be achieved. During service migration, both the traffic generated by migration and the other traffic (e.g., control information, video) are transmitted via mobile backhaul networks. To balance the performance of the two kinds of traffic, a delay-aware bandwidth slicing scheme is proposed. Simulation results show that, with the proposed method, migration data can be transmitted successfully within a required time threshold, while the latency and jitter for nonmigration traffic with different priorities can be reduced significantly.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/71376",risUrl:"/chapter/ris/71376",signatures:"Jun Li, Xiaoman Shen, Lei Chen and Jiajia Chen",book:{id:"9173",type:"book",title:"Moving Broadband Mobile Communications Forward",subtitle:"Intelligent Technologies for 5G and Beyond",fullTitle:"Moving Broadband Mobile Communications Forward - Intelligent Technologies for 5G and Beyond",slug:"moving-broadband-mobile-communications-forward-intelligent-technologies-for-5g-and-beyond",publishedDate:"August 18th 2021",bookSignature:"Abdelfatteh Haidine",coverURL:"https://cdn.intechopen.com/books/images_new/9173.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83962-344-8",printIsbn:"978-1-83962-343-1",pdfIsbn:"978-1-83962-345-5",isAvailableForWebshopOrdering:!0,editors:[{id:"187242",title:"Dr.",name:"Abdelfatteh",middleName:null,surname:"Haidine",slug:"abdelfatteh-haidine",fullName:"Abdelfatteh Haidine"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"313110",title:"Dr.",name:"Lei",middleName:null,surname:"Chen",fullName:"Lei Chen",slug:"lei-chen",email:"lei.chen@ri.se",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"313111",title:"Prof.",name:"Jiajia",middleName:null,surname:"Chen",fullName:"Jiajia Chen",slug:"jiajia-chen",email:"jiajiac@chalmers.se",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Chalmers University of Technology",institutionURL:null,country:{name:"Sweden"}}},{id:"313112",title:"Dr.",name:"Jun",middleName:null,surname:"Li",fullName:"Jun Li",slug:"jun-li",email:"ljun@chalmers.se",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Chalmers University of Technology",institutionURL:null,country:{name:"Sweden"}}},{id:"316559",title:"Dr.",name:"Xiaoman",middleName:null,surname:"Shen",fullName:"Xiaoman Shen",slug:"xiaoman-shen",email:"shxm@zju.edu.cn",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Service migration strategy in FeCN",level:"1"},{id:"sec_2_2",title:"2.1 QoS-aware service migration strategy",level:"2"},{id:"sec_3_2",title:"2.2 Performance evaluation",level:"2"},{id:"sec_5",title:"3. Distributed fog computing resource management",level:"1"},{id:"sec_5_2",title:"3.1 Distributed computing resource management",level:"2"},{id:"sec_5_3",title:"3.1.1 Low-priority service selection algorithm",level:"3"},{id:"sec_6_3",title:"3.1.2 Neighboring fog-BS selection algorithm",level:"3"},{id:"sec_8_2",title:"3.2 Performance evaluation",level:"2"},{id:"sec_10",title:"4. Bandwidth slicing in mobile backhaul networks",level:"1"},{id:"sec_10_2",title:"4.1 Bandwidth slicing mechanism",level:"2"},{id:"sec_11_2",title:"4.2 Delay-aware resource allocation algorithm",level:"2"},{id:"sec_12_2",title:"4.3 Performance evaluation",level:"2"},{id:"sec_14",title:"5. Conclusions",level:"1"},{id:"sec_15",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'3GPP TS 122261, Service requirements for next generation new services and markets; V 15.5.0, 2019'},{id:"B2",body:'Chiang M, Zhang T. Fog and IoT: An overview of research opportunities. IEEE Internet of Things Journal. 2016;3(6):854-864'},{id:"B3",body:'Ku Y. 5G radio access network design with the fog paradigm: Confluence of communications and computing. IEEE Communications Magazine. 2017;55(4):46-52'},{id:"B4",body:'Wang S, Xu J, Zhang N, Liu Y. A survey on service migration in Mobile edge computing. IEEE Access. 2018;6:23511-23528'},{id:"B5",body:'Li J, Shen X, Chen L, Pham D, Ou J, Wosinska L, et al. Service migration in fog computing enabled cellular networks to support real-time vehicular communications. IEEE Access. 2019;7:13704-13714'},{id:"B6",body:'Machen A, Wang S, Leung KK, Ko BJ, Salonidis T. Live Service Migration in Mobile Edge Clouds. 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IEEE/OSA Journal of Optical Communications and Networking. 2019;11(4):B1-B9'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Jun Li",address:null,affiliation:'
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Care should be taken during the spot selection is to avoid aliasing effect. At the receiving end, to recover image we use only one spectrum. We have proved that size of the extracted image is less than the original image. In this way, compression of satellite image has been performed. To measure quality of the output images, PSNR value has been calculated and compared this value with previous techniques. As high-resolution satellite image contains a lot of information, therefore to get detail information from extracted image, compression ratio should be as minimum as possible.",book:{id:"7030",slug:"satellite-systems-design-modeling-simulation-and-analysis",title:"Satellite Systems",fullTitle:"Satellite Systems - Design, Modeling, Simulation and Analysis"},signatures:"Anirban Patra, Arijit Saha, Debasish Chakraborty and Kallol Bhattacharya",authors:[{id:"307075",title:"Dr.",name:"Debasish",middleName:null,surname:"Chakraborty",slug:"debasish-chakraborty",fullName:"Debasish Chakraborty"},{id:"319415",title:"Mr.",name:"Anirban",middleName:null,surname:"Patra",slug:"anirban-patra",fullName:"Anirban Patra"},{id:"320110",title:"Dr.",name:"Arijit",middleName:null,surname:"Saha",slug:"arijit-saha",fullName:"Arijit Saha"},{id:"320111",title:"Dr.",name:"Kallol",middleName:null,surname:"Bhattacharya",slug:"kallol-bhattacharya",fullName:"Kallol Bhattacharya"}]}],onlineFirstChaptersFilter:{topicId:"285",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"May 18th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:27,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null},{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",isOpenForSubmission:!0,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:49,paginationItems:[{id:"80495",title:"Iron in Cell Metabolism and Disease",doi:"10.5772/intechopen.101908",signatures:"Eeka Prabhakar",slug:"iron-in-cell-metabolism-and-disease",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Iron Metabolism - Iron a Double‐Edged Sword",coverURL:"https://cdn.intechopen.com/books/images_new/10842.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"81799",title:"Cross Talk of Purinergic and Immune Signaling: Implication in Inflammatory and Pathogenic Diseases",doi:"10.5772/intechopen.104978",signatures:"Richa Rai",slug:"cross-talk-of-purinergic-and-immune-signaling-implication-in-inflammatory-and-pathogenic-diseases",totalDownloads:8,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"81764",title:"Involvement of the Purinergic System in Cell Death in Models of Retinopathies",doi:"10.5772/intechopen.103935",signatures:"Douglas Penaforte Cruz, Marinna Garcia Repossi and Lucianne Fragel Madeira",slug:"involvement-of-the-purinergic-system-in-cell-death-in-models-of-retinopathies",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"81756",title:"Alteration of Cytokines Level and Oxidative Stress Parameters in COVID-19",doi:"10.5772/intechopen.104950",signatures:"Marija Petrusevska, Emilija Atanasovska, Dragica Zendelovska, Aleksandar Eftimov and Katerina Spasovska",slug:"alteration-of-cytokines-level-and-oxidative-stress-parameters-in-covid-19",totalDownloads:9,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Chemokines Updates",coverURL:"https://cdn.intechopen.com/books/images_new/11672.jpg",subseries:{id:"18",title:"Proteomics"}}}]},overviewPagePublishedBooks:{paginationCount:27,paginationItems:[{type:"book",id:"7006",title:"Biochemistry and Health Benefits of Fatty Acids",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7006.jpg",slug:"biochemistry-and-health-benefits-of-fatty-acids",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Viduranga Waisundara",hash:"c93a00abd68b5eba67e5e719f67fd20b",volumeInSeries:1,fullTitle:"Biochemistry and Health Benefits of Fatty Acids",editors:[{id:"194281",title:"Dr.",name:"Viduranga Y.",middleName:null,surname:"Waisundara",slug:"viduranga-y.-waisundara",fullName:"Viduranga Y. Waisundara",profilePictureURL:"https://mts.intechopen.com/storage/users/194281/images/system/194281.jpg",biography:"Dr. Viduranga Waisundara obtained her Ph.D. in Food Science and Technology from the Department of Chemistry, National University of Singapore, in 2010. She was a lecturer at Temasek Polytechnic, Singapore from July 2009 to March 2013. She relocated to her motherland of Sri Lanka and spearheaded the Functional Food Product Development Project at the National Institute of Fundamental Studies from April 2013 to October 2016. She was a senior lecturer on a temporary basis at the Department of Food Technology, Faculty of Technology, Rajarata University of Sri Lanka. She is currently Deputy Principal of the Australian College of Business and Technology – Kandy Campus, Sri Lanka. She is also the Global Harmonization Initiative (GHI) Ambassador to Sri Lanka.",institutionString:"Australian College of Business & Technology",institution:null}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"7978",title:"Vitamin A",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7978.jpg",slug:"vitamin-a",publishedDate:"May 15th 2019",editedByType:"Edited by",bookSignature:"Leila Queiroz Zepka, Veridiana Vera de Rosso and Eduardo Jacob-Lopes",hash:"dad04a658ab9e3d851d23705980a688b",volumeInSeries:3,fullTitle:"Vitamin A",editors:[{id:"261969",title:"Dr.",name:"Leila",middleName:null,surname:"Queiroz Zepka",slug:"leila-queiroz-zepka",fullName:"Leila Queiroz Zepka",profilePictureURL:"https://mts.intechopen.com/storage/users/261969/images/system/261969.png",biography:"Prof. Dr. Leila Queiroz Zepka is currently an associate professor in the Department of Food Technology and Science, Federal University of Santa Maria, Brazil. She has more than fifteen years of teaching and research experience. She has published more than 550 scientific publications/communications, including 15 books, 50 book chapters, 100 original research papers, 380 research communications in national and international conferences, and 12 patents. She is a member of the editorial board of five journals and acts as a reviewer for several national and international journals. 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He has been reviewer for several publications of the Optical Society of America\\'s including Photonics Technology Letters and Applied Optics.\n\nPersonal Interests\nThese include motor cycling in a very relaxed manner and performing martial arts.",institutionString:null,institution:{name:"Charité",country:{name:"Germany"}}},{id:"341622",title:"Ph.D.",name:"Eduardo",middleName:null,surname:"Rojas Alvarez",slug:"eduardo-rojas-alvarez",fullName:"Eduardo Rojas Alvarez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/341622/images/15892_n.jpg",biography:null,institutionString:null,institution:{name:"University of Cuenca",country:{name:"Ecuador"}}},{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University, Kuwait. His research interests include optimization, computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, and intelligent systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised/supervised more than 110 students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He has authored and/or edited around seventy books. Prof. Sarfraz is a member of various professional societies. He is a chair and member of international advisory committees and organizing committees of numerous international conferences. He is also an editor and editor in chief for various international journals.",institutionString:"Kuwait University",institution:{name:"Kuwait University",country:{name:"Kuwait"}}},{id:"32650",title:"Prof.",name:"Lukas",middleName:"Willem",surname:"Snyman",slug:"lukas-snyman",fullName:"Lukas Snyman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/32650/images/4136_n.jpg",biography:"Lukas Willem Snyman received his basic education at primary and high schools in South Africa, Eastern Cape. He enrolled at today's Nelson Metropolitan University and graduated from this university with a BSc in Physics and Mathematics, B.Sc Honors in Physics, MSc in Semiconductor Physics, and a Ph.D. in Semiconductor Physics in 1987. After his studies, he chose an academic career and devoted his energy to the teaching of physics to first, second, and third-year students. After positions as a lecturer at the University of Port Elizabeth, he accepted a position as Associate Professor at the University of Pretoria, South Africa.\r\n\r\nIn 1992, he motivates the concept of 'television and computer-based education” as means to reach large student numbers with only the best of teaching expertise and publishes an article on the concept in the SA Journal of Higher Education of 1993 (and later in 2003). The University of Pretoria subsequently approved a series of test projects on the concept with outreach to Mamelodi and Eerste Rust in 1993. In 1994, the University established a 'Unit for Telematic Education ' as a support section for multiple faculties at the University of Pretoria. In subsequent years, the concept of 'telematic education” subsequently becomes well established in academic circles in South Africa, grew in popularity, and is adopted by many universities and colleges throughout South Africa as a medium of enhancing education and training, as a method to reaching out to far out communities, and as a means to enhance study from the home environment.\r\n\r\nProfessor Snyman in subsequent years pursued research in semiconductor physics, semiconductor devices, microelectronics, and optoelectronics.\r\n\r\nIn 2000 he joined the TUT as a full professor. Here served for a period as head of the Department of Electronic Engineering. Here he makes contributions to solar energy development, microwave and optoelectronic device development, silicon photonics, as well as contributions to new mobile telecommunication systems and network planning in SA.\r\n\r\nCurrently, he teaches electronics and telecommunications at the TUT to audiences ranging from first-year students to Ph.D. level.\r\n\r\nFor his research in the field of 'Silicon Photonics” since 1990, he has published (as author and co-author) about thirty internationally reviewed articles in scientific journals, contributed to more than forty international conferences, about 25 South African provisional patents (as inventor and co-inventor), 8 PCT international patent applications until now. Of these, two USA patents applications, two European Patents, two Korean patents, and ten SA patents have been granted. A further 4 USA patents, 5 European patents, 3 Korean patents, 3 Chinese patents, and 3 Japanese patents are currently under consideration.\r\n\r\nRecently he has also published an extensive scholarly chapter in an internet open access book on 'Integrating Microphotonic Systems and MOEMS into standard Silicon CMOS Integrated circuitry”.\r\n\r\nFurthermore, Professor Snyman recently steered a new initiative at the TUT by introducing a 'Laboratory for Innovative Electronic Systems ' at the Department of Electrical Engineering. The model of this laboratory or center is to primarily combine outputs as achieved by high-level research with lower-level system development and entrepreneurship in a technical university environment. Students are allocated to projects at different levels with PhDs and Master students allocated to the generation of new knowledge and new technologies, while students at the diploma and Baccalaureus level are allocated to electronic systems development with a direct and a near application for application in industry or the commercial and public sectors in South Africa.\r\n\r\nProfessor Snyman received the WIRSAM Award of 1983 and the WIRSAM Award in 1985 in South Africa for best research papers by a young scientist at two international conferences on electron microscopy in South Africa. He subsequently received the SA Microelectronics Award for the best dissertation emanating from studies executed at a South African university in the field of Physics and Microelectronics in South Africa in 1987. In October of 2011, Professor Snyman received the prestigious Institutional Award for 'Innovator of the Year” for 2010 at the Tshwane University of Technology, South Africa. This award was based on the number of patents recognized and granted by local and international institutions as well as for his contributions concerning innovation at the TUT.",institutionString:null,institution:{name:"University of South Africa",country:{name:"South Africa"}}},{id:"317279",title:"Mr.",name:"Ali",middleName:"Usama",surname:"Syed",slug:"ali-syed",fullName:"Ali Syed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/317279/images/16024_n.png",biography:"A creative, talented, and innovative young professional who is dedicated, well organized, and capable research fellow with two years of experience in graduate-level research, published in engineering journals and book, with related expertise in Bio-robotics, equally passionate about the aesthetics of the mechanical and electronic system, obtained expertise in the use of MS Office, MATLAB, SolidWorks, LabVIEW, Proteus, Fusion 360, having a grasp on python, C++ and assembly language, possess proven ability in acquiring research grants, previous appointments with social and educational societies with experience in administration, current affiliations with IEEE and Web of Science, a confident presenter at conferences and teacher in classrooms, able to explain complex information to audiences of all levels.",institutionString:null,institution:{name:"Air University",country:{name:"Pakistan"}}},{id:"75526",title:"Ph.D.",name:"Zihni Onur",middleName:null,surname:"Uygun",slug:"zihni-onur-uygun",fullName:"Zihni Onur Uygun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/75526/images/12_n.jpg",biography:"My undergraduate education and my Master of Science educations at Ege University and at Çanakkale Onsekiz Mart University have given me a firm foundation in Biochemistry, Analytical Chemistry, Biosensors, Bioelectronics, Physical Chemistry and Medicine. After obtaining my degree as a MSc in analytical chemistry, I started working as a research assistant in Ege University Medical Faculty in 2014. In parallel, I enrolled to the MSc program at the Department of Medical Biochemistry at Ege University to gain deeper knowledge on medical and biochemical sciences as well as clinical chemistry in 2014. In my PhD I deeply researched on biosensors and bioelectronics and finished in 2020. Now I have eleven SCI-Expanded Index published papers, 6 international book chapters, referee assignments for different SCIE journals, one international patent pending, several international awards, projects and bursaries. In parallel to my research assistant position at Ege University Medical Faculty, Department of Medical Biochemistry, in April 2016, I also founded a Start-Up Company (Denosens Biotechnology LTD) by the support of The Scientific and Technological Research Council of Turkey. Currently, I am also working as a CEO in Denosens Biotechnology. The main purposes of the company, which carries out R&D as a research center, are to develop new generation biosensors and sensors for both point-of-care diagnostics; such as glucose, lactate, cholesterol and cancer biomarker detections. My specific experimental and instrumental skills are Biochemistry, Biosensor, Analytical Chemistry, Electrochemistry, Mobile phone based point-of-care diagnostic device, POCTs and Patient interface designs, HPLC, Tandem Mass Spectrometry, Spectrophotometry, ELISA.",institutionString:null,institution:{name:"Ege University",country:{name:"Turkey"}}},{id:"246502",title:"Dr.",name:"Jaya T.",middleName:"T",surname:"Varkey",slug:"jaya-t.-varkey",fullName:"Jaya T. Varkey",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246502/images/11160_n.jpg",biography:"Jaya T. Varkey, PhD, graduated with a degree in Chemistry from Cochin University of Science and Technology, Kerala, India. She obtained a PhD in Chemistry from the School of Chemical Sciences, Mahatma Gandhi University, Kerala, India, and completed a post-doctoral fellowship at the University of Minnesota, USA. She is a research guide at Mahatma Gandhi University and Associate Professor in Chemistry, St. Teresa’s College, Kochi, Kerala, India.\nDr. Varkey received a National Young Scientist award from the Indian Science Congress (1995), a UGC Research award (2016–2018), an Indian National Science Academy (INSA) Visiting Scientist award (2018–2019), and a Best Innovative Faculty award from the All India Association for Christian Higher Education (AIACHE) (2019). She Hashas received the Sr. Mary Cecil prize for best research paper three times. She was also awarded a start-up to develop a tea bag water filter. \nDr. Varkey has published two international books and twenty-seven international journal publications. She is an editorial board member for five international journals.",institutionString:"St. Teresa’s College",institution:null},{id:"250668",title:"Dr.",name:"Ali",middleName:null,surname:"Nabipour Chakoli",slug:"ali-nabipour-chakoli",fullName:"Ali Nabipour Chakoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/250668/images/system/250668.jpg",biography:"Academic Qualification:\r\n•\tPhD in Materials Physics and Chemistry, From: Sep. 2006, to: Sep. 2010, School of Materials Science and Engineering, Harbin Institute of Technology, Thesis: Structure and Shape Memory Effect of Functionalized MWCNTs/poly (L-lactide-co-ε-caprolactone) Nanocomposites. Supervisor: Prof. Wei Cai,\r\n•\tM.Sc in Applied Physics, From: 1996, to: 1998, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Determination of Boron in Micro alloy Steels with solid state nuclear track detectors by neutron induced auto radiography, Supervisors: Dr. M. Hosseini Ashrafi and Dr. A. Hosseini.\r\n•\tB.Sc. in Applied Physics, From: 1991, to: 1996, Faculty of Physics & Nuclear Science, Amirkabir Uni. of Technology, Tehran, Iran, Thesis: Design of shielding for Am-Be neutron sources for In Vivo neutron activation analysis, Supervisor: Dr. M. Hosseini Ashrafi.\r\n\r\nResearch Experiences:\r\n1.\tNanomaterials, Carbon Nanotubes, Graphene: Synthesis, Functionalization and Characterization,\r\n2.\tMWCNTs/Polymer Composites: Fabrication and Characterization, \r\n3.\tShape Memory Polymers, Biodegradable Polymers, ORC, Collagen,\r\n4.\tMaterials Analysis and Characterizations: TEM, SEM, XPS, FT-IR, Raman, DSC, DMA, TGA, XRD, GPC, Fluoroscopy, \r\n5.\tInteraction of Radiation with Mater, Nuclear Safety and Security, NDT(RT),\r\n6.\tRadiation Detectors, Calibration (SSDL),\r\n7.\tCompleted IAEA e-learning Courses:\r\nNuclear Security (15 Modules),\r\nNuclear Safety:\r\nTSA 2: Regulatory Protection in Occupational Exposure,\r\nTips & Tricks: Radiation Protection in Radiography,\r\nSafety and Quality in Radiotherapy,\r\nCourse on Sealed Radioactive Sources,\r\nCourse on Fundamentals of Environmental Remediation,\r\nCourse on Planning for Environmental Remediation,\r\nKnowledge Management Orientation Course,\r\nFood Irradiation - Technology, Applications and Good Practices,\r\nEmployment:\r\nFrom 2010 to now: Academic staff, Nuclear Science and Technology Research Institute, Kargar Shomali, Tehran, Iran, P.O. Box: 14395-836.\r\nFrom 1997 to 2006: Expert of Materials Analysis and Characterization. Research Center of Agriculture and Medicine. Rajaeeshahr, Karaj, Iran, P. O. Box: 31585-498.",institutionString:"Atomic Energy Organization of Iran",institution:{name:"Atomic Energy Organization of Iran",country:{name:"Iran"}}},{id:"248279",title:"Dr.",name:"Monika",middleName:"Elzbieta",surname:"Machoy",slug:"monika-machoy",fullName:"Monika Machoy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/248279/images/system/248279.jpeg",biography:"Monika Elżbieta Machoy, MD, graduated with distinction from the Faculty of Medicine and Dentistry at the Pomeranian Medical University in 2009, defended her PhD thesis with summa cum laude in 2016 and is currently employed as a researcher at the Department of Orthodontics of the Pomeranian Medical University. She expanded her professional knowledge during a one-year scholarship program at the Ernst Moritz Arndt University in Greifswald, Germany and during a three-year internship at the Technical University in Dresden, Germany. She has been a speaker at numerous orthodontic conferences, among others, American Association of Orthodontics, European Orthodontic Symposium and numerous conferences of the Polish Orthodontic Society. She conducts research focusing on the effect of orthodontic treatment on dental and periodontal tissues and the causes of pain in orthodontic patients.",institutionString:"Pomeranian Medical University",institution:{name:"Pomeranian Medical University",country:{name:"Poland"}}},{id:"252743",title:"Prof.",name:"Aswini",middleName:"Kumar",surname:"Kar",slug:"aswini-kar",fullName:"Aswini Kar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252743/images/10381_n.jpg",biography:"uploaded in cv",institutionString:null,institution:{name:"KIIT University",country:{name:"India"}}},{id:"204256",title:"Dr.",name:"Anil",middleName:"Kumar",surname:"Kumar Sahu",slug:"anil-kumar-sahu",fullName:"Anil Kumar Sahu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204256/images/14201_n.jpg",biography:"I have nearly 11 years of research and teaching experience. I have done my master degree from University Institute of Pharmacy, Pt. Ravi Shankar Shukla University, Raipur, Chhattisgarh India. I have published 16 review and research articles in international and national journals and published 4 chapters in IntechOpen, the world’s leading publisher of Open access books. I have presented many papers at national and international conferences. I have received research award from Indian Drug Manufacturers Association in year 2015. My research interest extends from novel lymphatic drug delivery systems, oral delivery system for herbal bioactive to formulation optimization.",institutionString:null,institution:{name:"Chhattisgarh Swami Vivekanand Technical University",country:{name:"India"}}},{id:"253468",title:"Dr.",name:"Mariusz",middleName:null,surname:"Marzec",slug:"mariusz-marzec",fullName:"Mariusz Marzec",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/253468/images/system/253468.png",biography:"An assistant professor at Department of Biomedical Computer Systems, at Institute of Computer Science, Silesian University in Katowice. Scientific interests: computer analysis and processing of images, biomedical images, databases and programming languages. He is an author and co-author of scientific publications covering analysis and processing of biomedical images and development of database systems.",institutionString:"University of Silesia",institution:null},{id:"212432",title:"Prof.",name:"Hadi",middleName:null,surname:"Mohammadi",slug:"hadi-mohammadi",fullName:"Hadi Mohammadi",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/212432/images/system/212432.jpeg",biography:"Dr. Hadi Mohammadi is a biomedical engineer with hands-on experience in the design and development of many engineering structures and medical devices through various projects that he has been involved in over the past twenty years. Dr. Mohammadi received his BSc. and MSc. degrees in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, and his PhD. degree in Biomedical Engineering (biomaterials) from the University of Western Ontario. He was a postdoctoral trainee for almost four years at University of Calgary and Harvard Medical School. He is an industry innovator having created the technology to produce lifelike synthetic platforms that can be used for the simulation of almost all cardiovascular reconstructive surgeries. He’s been heavily involved in the design and development of cardiovascular devices and technology for the past 10 years. He is currently an Assistant Professor with the University of British Colombia, Canada.",institutionString:"University of British Columbia",institution:{name:"University of British Columbia",country:{name:"Canada"}}},{id:"254463",title:"Prof.",name:"Haisheng",middleName:null,surname:"Yang",slug:"haisheng-yang",fullName:"Haisheng Yang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/254463/images/system/254463.jpeg",biography:"Haisheng Yang, Ph.D., Professor and Director of the Department of Biomedical Engineering, College of Life Science and Bioengineering, Beijing University of Technology. He received his Ph.D. degree in Mechanics/Biomechanics from Harbin Institute of Technology (jointly with University of California, Berkeley). Afterwards, he worked as a Postdoctoral Research Associate in the Purdue Musculoskeletal Biology and Mechanics Lab at the Department of Basic Medical Sciences, Purdue University, USA. He also conducted research in the Research Centre of Shriners Hospitals for Children-Canada at McGill University, Canada. Dr. Yang has over 10 years research experience in orthopaedic biomechanics and mechanobiology of bone adaptation and regeneration. He earned an award from Beijing Overseas Talents Aggregation program in 2017 and serves as Beijing Distinguished Professor.",institutionString:"Beijing University of Technology",institution:null},{id:"255757",title:"Dr.",name:"Igor",middleName:"Victorovich",surname:"Lakhno",slug:"igor-lakhno",fullName:"Igor Lakhno",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255757/images/system/255757.jpg",biography:"Lakhno Igor Victorovich was born in 1971 in Kharkiv (Ukraine). \nMD – 1994, Kharkiv National Medical Univesity.\nOb&Gyn; – 1997, master courses in Kharkiv Medical Academy of Postgraduate Education.\nPhD – 1999, Kharkiv National Medical Univesity.\nDSc – 2019, PL Shupik National Academy of Postgraduate Education \nLakhno Igor has been graduated from an international training courses on reproductive medicine and family planning held in Debrecen University (Hungary) in 1997. Since 1998 Lakhno Igor has worked as an associate professor of the department of obstetrics and gynecology of VN Karazin National University and an associate professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education. Since June 2019 he’s a professor of the department of obstetrics and gynecology of VN Karazin National University and a professor of the perinatology, obstetrics and gynecology department of Kharkiv Medical Academy of Postgraduate Education . He’s an author of about 200 printed works and there are 17 of them in Scopus or Web of Science databases. Lakhno Igor is a rewiever of Journal of Obstetrics and Gynaecology (Taylor and Francis), Informatics in Medicine Unlocked (Elsevier), The Journal of Obstetrics and Gynecology Research (Wiley), Endocrine, Metabolic & Immune Disorders-Drug Targets (Bentham Open), The Open Biomedical Engineering Journal (Bentham Open), etc. He’s defended a dissertation for DSc degree \\'Pre-eclampsia: prediction, prevention and treatment”. Lakhno Igor has participated as a speaker in several international conferences and congresses (International Conference on Biological Oscillations April 10th-14th 2016, Lancaster, UK, The 9th conference of the European Study Group on Cardiovascular Oscillations). His main scientific interests: obstetrics, women’s health, fetal medicine, cardiovascular medicine.",institutionString:"V.N. Karazin Kharkiv National University",institution:{name:"Kharkiv Medical Academy of Postgraduate Education",country:{name:"Ukraine"}}},{id:"89721",title:"Dr.",name:"Mehmet",middleName:"Cuneyt",surname:"Ozmen",slug:"mehmet-ozmen",fullName:"Mehmet Ozmen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/89721/images/7289_n.jpg",biography:null,institutionString:null,institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"243698",title:"M.D.",name:"Xiaogang",middleName:null,surname:"Wang",slug:"xiaogang-wang",fullName:"Xiaogang Wang",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/243698/images/system/243698.png",biography:"Dr. Xiaogang Wang, a faculty member of Shanxi Eye Hospital specializing in the treatment of cataract and retinal disease and a tutor for postgraduate students of Shanxi Medical University, worked in the COOL Lab as an international visiting scholar under the supervision of Dr. David Huang and Yali Jia from October 2012 through November 2013. Dr. Wang earned an MD from Shanxi Medical University and a Ph.D. from Shanghai Jiao Tong University. Dr. Wang was awarded two research project grants focused on multimodal optical coherence tomography imaging and deep learning in cataract and retinal disease, from the National Natural Science Foundation of China. He has published around 30 peer-reviewed journal papers and four book chapters and co-edited one book.",institutionString:"Shanxi Eye Hospital",institution:{name:"Shanxi Eye Hospital",country:{name:"China"}}},{id:"242893",title:"Ph.D. Student",name:"Joaquim",middleName:null,surname:"De Moura",slug:"joaquim-de-moura",fullName:"Joaquim De Moura",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/242893/images/7133_n.jpg",biography:"Joaquim de Moura received his degree in Computer Engineering in 2014 from the University of A Coruña (Spain). In 2016, he received his M.Sc degree in Computer Engineering from the same university. He is currently pursuing his Ph.D degree in Computer Science in a collaborative project between ophthalmology centers in Galicia and the University of A Coruña. His research interests include computer vision, machine learning algorithms and analysis and medical imaging processing of various kinds.",institutionString:null,institution:{name:"University of A Coruña",country:{name:"Spain"}}},{id:"267434",title:"Dr.",name:"Rohit",middleName:null,surname:"Raja",slug:"rohit-raja",fullName:"Rohit Raja",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRZkkQAG/Profile_Picture_2022-05-09T12:55:18.jpg",biography:null,institutionString:null,institution:null},{id:"294334",title:"B.Sc.",name:"Marc",middleName:null,surname:"Bruggeman",slug:"marc-bruggeman",fullName:"Marc Bruggeman",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/294334/images/8242_n.jpg",biography:"Chemical engineer graduate, with a passion for material science and specific interest in polymers - their near infinite applications intrigue me. \n\nI plan to continue my scientific career in the field of polymeric biomaterials as I am fascinated by intelligent, bioactive and biomimetic materials for use in both consumer and medical applications.",institutionString:null,institution:null},{id:"244950",title:"Dr.",name:"Salvatore",middleName:null,surname:"Di Lauro",slug:"salvatore-di-lauro",fullName:"Salvatore Di Lauro",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0030O00002bSF1HQAW/ProfilePicture%202021-12-20%2014%3A54%3A14.482",biography:"Name:\n\tSALVATORE DI LAURO\nAddress:\n\tHospital Clínico Universitario Valladolid\nAvda Ramón y Cajal 3\n47005, Valladolid\nSpain\nPhone number: \nFax\nE-mail:\n\t+34 983420000 ext 292\n+34 983420084\nsadilauro@live.it\nDate and place of Birth:\nID Number\nMedical Licence \nLanguages\t09-05-1985. Villaricca (Italy)\n\nY1281863H\n474707061\nItalian (native language)\nSpanish (read, written, spoken)\nEnglish (read, written, spoken)\nPortuguese (read, spoken)\nFrench (read)\n\t\t\nCurrent position (title and company)\tDate (Year)\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. Private practise.\t2017-today\n\n2019-today\n\t\n\t\nEducation (High school, university and postgraduate training > 3 months)\tDate (Year)\nDegree in Medicine and Surgery. University of Neaples 'Federico II”\nResident in Opthalmology. Hospital Clinico Universitario Valladolid\nMaster in Vitreo-Retina. IOBA. University of Valladolid\nFellow of the European Board of Ophthalmology. Paris\nMaster in Research in Ophthalmology. University of Valladolid\t2003-2009\n2012-2016\n2016-2017\n2016\n2012-2013\n\t\nEmployments (company and positions)\tDate (Year)\nResident in Ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl.\nFellow in Vitreo-Retina. IOBA. University of Valladolid\nVitreo-Retinal consultant in ophthalmology. Hospital Clinico Universitario Valladolid. Sacyl. National Health System.\nVitreo-Retinal consultant in ophthalmology. Instituto Oftalmologico Recoletas. Red Hospitalaria Recoletas. \n\t2012-2016\n2016-2017\n2017-today\n\n2019-Today\n\n\n\t\nClinical Research Experience (tasks and role)\tDate (Year)\nAssociated investigator\n\n' FIS PI20/00740: DESARROLLO DE UNA CALCULADORA DE RIESGO DE\nAPARICION DE RETINOPATIA DIABETICA BASADA EN TECNICAS DE IMAGEN MULTIMODAL EN PACIENTES DIABETICOS TIPO 1. Grant by: Ministerio de Ciencia e Innovacion \n\n' (BIO/VA23/14) Estudio clínico multicéntrico y prospectivo para validar dos\nbiomarcadores ubicados en los genes p53 y MDM2 en la predicción de los resultados funcionales de la cirugía del desprendimiento de retina regmatógeno. Grant by: Gerencia Regional de Salud de la Junta de Castilla y León.\n' Estudio multicéntrico, aleatorizado, con enmascaramiento doble, en 2 grupos\nparalelos y de 52 semanas de duración para comparar la eficacia, seguridad e inmunogenicidad de SOK583A1 respecto a Eylea® en pacientes con degeneración macular neovascular asociada a la edad' (CSOK583A12301; N.EUDRA: 2019-004838-41; FASE III). Grant by Hexal AG\n\n' Estudio de fase III, aleatorizado, doble ciego, con grupos paralelos, multicéntrico para comparar la eficacia y la seguridad de QL1205 frente a Lucentis® en pacientes con degeneración macular neovascular asociada a la edad. (EUDRACT: 2018-004486-13). Grant by Qilu Pharmaceutical Co\n\n' Estudio NEUTON: Ensayo clinico en fase IV para evaluar la eficacia de aflibercept en pacientes Naive con Edema MacUlar secundario a Oclusion de Vena CenTral de la Retina (OVCR) en regimen de tratamientO iNdividualizado Treat and Extend (TAE)”, (2014-000975-21). Grant by Fundacion Retinaplus\n\n' Evaluación de la seguridad y bioactividad de anillos de tensión capsular en conejo. Proyecto Procusens. Grant by AJL, S.A.\n\n'Estudio epidemiológico, prospectivo, multicéntrico y abierto\\npara valorar la frecuencia de la conjuntivitis adenovírica diagnosticada mediante el test AdenoPlus®\\nTest en pacientes enfermos de conjuntivitis aguda”\\n. National, multicenter study. Grant by: NICOX.\n\nEuropean multicentric trial: 'Evaluation of clinical outcomes following the use of Systane Hydration in patients with dry eye”. Study Phase 4. Grant by: Alcon Labs'\n\nVLPs Injection and Activation in a Rabbit Model of Uveal Melanoma. Grant by Aura Bioscience\n\nUpdating and characterization of a rabbit model of uveal melanoma. Grant by Aura Bioscience\n\nEnsayo clínico en fase IV para evaluar las variantes genéticas de la vía del VEGF como biomarcadores de eficacia del tratamiento con aflibercept en pacientes con degeneración macular asociada a la edad (DMAE) neovascular. Estudio BIOIMAGE. IMO-AFLI-2013-01\n\nEstudio In-Eye:Ensayo clínico en fase IV, abierto, aleatorizado, de 2 brazos,\nmulticçentrico y de 12 meses de duración, para evaluar la eficacia y seguridad de un régimen de PRN flexible individualizado de 'esperar y extender' versus un régimen PRN según criterios de estabilización mediante evaluaciones mensuales de inyecciones intravítreas de ranibizumab 0,5 mg en pacientes naive con neovascularización coriodea secunaria a la degeneración macular relacionada con la edad. CP: CRFB002AES03T\n\nTREND: Estudio Fase IIIb multicéntrico, randomizado, de 12 meses de\nseguimiento con evaluador de la agudeza visual enmascarado, para evaluar la eficacia y la seguridad de ranibizumab 0.5mg en un régimen de tratar y extender comparado con un régimen mensual, en pacientes con degeneración macular neovascular asociada a la edad. CP: CRFB002A2411 Código Eudra CT:\n2013-002626-23\n\n\n\nPublications\t\n\n2021\n\n\n\n\n2015\n\n\n\n\n2021\n\n\n\n\n\n2021\n\n\n\n\n2015\n\n\n\n\n2015\n\n\n2014\n\n\n\n\n2015-16\n\n\n\n2015\n\n\n2014\n\n\n2014\n\n\n\n\n2014\n\n\n\n\n\n\n\n2014\n\nJose Carlos Pastor; Jimena Rojas; Salvador Pastor-Idoate; Salvatore Di Lauro; Lucia Gonzalez-Buendia; Santiago Delgado-Tirado. Proliferative vitreoretinopathy: A new concept of disease pathogenesis and practical\nconsequences. Progress in Retinal and Eye Research. 51, pp. 125 - 155. 03/2016. DOI: 10.1016/j.preteyeres.2015.07.005\n\n\nLabrador-Velandia S; Alonso-Alonso ML; Di Lauro S; García-Gutierrez MT; Srivastava GK; Pastor JC; Fernandez-Bueno I. Mesenchymal stem cells provide paracrine neuroprotective resources that delay degeneration of co-cultured organotypic neuroretinal cultures.Experimental Eye Research. 185, 17/05/2019. DOI: 10.1016/j.exer.2019.05.011\n\nSalvatore Di Lauro; Maria Teresa Garcia Gutierrez; Ivan Fernandez Bueno. Quantification of pigment epithelium-derived factor (PEDF) in an ex vivo coculture of retinal pigment epithelium cells and neuroretina.\nJournal of Allbiosolution. 2019. ISSN 2605-3535\n\nSonia Labrador Velandia; Salvatore Di Lauro; Alonso-Alonso ML; Tabera Bartolomé S; Srivastava GK; Pastor JC; Fernandez-Bueno I. Biocompatibility of intravitreal injection of human mesenchymal stem cells in immunocompetent rabbits. Graefe's archive for clinical and experimental ophthalmology. 256 - 1, pp. 125 - 134. 01/2018. DOI: 10.1007/s00417-017-3842-3\n\n\nSalvatore Di Lauro, David Rodriguez-Crespo, Manuel J Gayoso, Maria T Garcia-Gutierrez, J Carlos Pastor, Girish K Srivastava, Ivan Fernandez-Bueno. A novel coculture model of porcine central neuroretina explants and retinal pigment epithelium cells. Molecular Vision. 2016 - 22, pp. 243 - 253. 01/2016.\n\nSalvatore Di Lauro. Classifications for Proliferative Vitreoretinopathy ({PVR}): An Analysis of Their Use in Publications over the Last 15 Years. Journal of Ophthalmology. 2016, pp. 1 - 6. 01/2016. DOI: 10.1155/2016/7807596\n\nSalvatore Di Lauro; Rosa Maria Coco; Rosa Maria Sanabria; Enrique Rodriguez de la Rua; Jose Carlos Pastor. Loss of Visual Acuity after Successful Surgery for Macula-On Rhegmatogenous Retinal Detachment in a Prospective Multicentre Study. Journal of Ophthalmology. 2015:821864, 2015. DOI: 10.1155/2015/821864\n\nIvan Fernandez-Bueno; Salvatore Di Lauro; Ivan Alvarez; Jose Carlos Lopez; Maria Teresa Garcia-Gutierrez; Itziar Fernandez; Eva Larra; Jose Carlos Pastor. Safety and Biocompatibility of a New High-Density Polyethylene-Based\nSpherical Integrated Porous Orbital Implant: An Experimental Study in Rabbits. Journal of Ophthalmology. 2015:904096, 2015. DOI: 10.1155/2015/904096\n\nPastor JC; Pastor-Idoate S; Rodríguez-Hernandez I; Rojas J; Fernandez I; Gonzalez-Buendia L; Di Lauro S; Gonzalez-Sarmiento R. Genetics of PVR and RD. Ophthalmologica. 232 - Suppl 1, pp. 28 - 29. 2014\n\nRodriguez-Crespo D; Di Lauro S; Singh AK; Garcia-Gutierrez MT; Garrosa M; Pastor JC; Fernandez-Bueno I; Srivastava GK. Triple-layered mixed co-culture model of RPE cells with neuroretina for evaluating the neuroprotective effects of adipose-MSCs. Cell Tissue Res. 358 - 3, pp. 705 - 716. 2014.\nDOI: 10.1007/s00441-014-1987-5\n\nCarlo De Werra; Salvatore Condurro; Salvatore Tramontano; Mario Perone; Ivana Donzelli; Salvatore Di Lauro; Massimo Di Giuseppe; Rosa Di Micco; Annalisa Pascariello; Antonio Pastore; Giorgio Diamantis; Giuseppe Galloro. Hydatid disease of the liver: thirty years of surgical experience.Chirurgia italiana. 59 - 5, pp. 611 - 636.\n(Italia): 2007. ISSN 0009-4773\n\nChapters in books\n\t\n' Salvador Pastor Idoate; Salvatore Di Lauro; Jose Carlos Pastor Jimeno. PVR: Pathogenesis, Histopathology and Classification. Proliferative Vitreoretinopathy with Small Gauge Vitrectomy. Springer, 2018. ISBN 978-3-319-78445-8\nDOI: 10.1007/978-3-319-78446-5_2. \n\n' Salvatore Di Lauro; Maria Isabel Lopez Galvez. Quistes vítreos en una mujer joven. Problemas diagnósticos en patología retinocoroidea. Sociedad Española de Retina-Vitreo. 2018.\n\n' Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor Jimeno. iOCT in PVR management. OCT Applications in Opthalmology. pp. 1 - 8. INTECH, 2018. DOI: 10.5772/intechopen.78774.\n\n' Rosa Coco Martin; Salvatore Di Lauro; Salvador Pastor Idoate; Jose Carlos Pastor. amponadores, manipuladores y tinciones en la cirugía del traumatismo ocular.Trauma Ocular. Ponencia de la SEO 2018..\n\n' LOPEZ GALVEZ; DI LAURO; CRESPO. OCT angiografia y complicaciones retinianas de la diabetes. PONENCIA SEO 2021, CAPITULO 20. (España): 2021.\n\n' Múltiples desprendimientos neurosensoriales bilaterales en paciente joven. Enfermedades Degenerativas De Retina Y Coroides. SERV 04/2016. \n' González-Buendía L; Di Lauro S; Pastor-Idoate S; Pastor Jimeno JC. Vitreorretinopatía proliferante (VRP) e inflamación: LA INFLAMACIÓN in «INMUNOMODULADORES Y ANTIINFLAMATORIOS: MÁS ALLÁ DE LOS CORTICOIDES. 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