Chapters authored
Energy Consumption Model for Green Computing
This chapter shows the environmental measurement factors that define the indicators within an architecture composed of Goods, Networks and Services (GNS). These references are obtained from the energy consumptions in the measurement processes. This lets obtaining several analyses important from the behavior in the energy consumption schemes. The application of these factors was determined from the energy generation processes, whose units are in metrics adequate for electricity and heat according to each system observed, and the same from the energetic consumption of the same data centers that helped to determine these characteristics. These indicators applied in an environment of Information and Communications Technology (ICT) define comparisons and be specified as the basis characterizing the analysis of energetic performance. The tests show the energy consumption and carbon footprint. This experiment seeks to increase the quality of services and decrease the energy consumption. This let us use efficiently the computational resources minimizing the environment impact. To achieve this target, it was used to apply indicators in green computing environment, like it can be mentioned: The Power Usage Effectiveness (PUE) and Data Center Effectiveness (DCE). With the use of these indicators can derive a generic model of energy consumption for a GNS system.
Part of the book: Mobile Computing
Management Methods of Energy Consumption Parameters Using IoT and Big Data
The continuous monitoring of electrical consumption helps to understand energy expenditure in functional consumption environments, such as campuses. For this reason, this work details the development of a mechanism that can do so, such as a network of sensors that is available in a telemetry system, which is determined to perform the acquisition and analysis of energy parameters. These actions are based on the concepts of Internet of Things (IoT) and Big Data. The acquired data are sent in a virtual local area network (VLAN), which is connected to a database server located in the campus environment, using the IoT concept, through the IEEE802.11/IEEE802.3 standards, so that later the analysis and monitoring of the electrical network can be carried out. For the construction of this prototype, noninvasive current sensors connected to a three-phase meter and a communication card are used to extract data from the meter and send it to the database. In the results, the possibility of specifying 30 energy parameters is obtained, with a packet loss rate equal to zero. With this network of sensors, whatever is in operation, such as low-voltage electrical power transformers, distribution boards, among others, can become intelligent data collection devices, from which information is extracted in real time by telemetry.
Part of the book: Advances in Green Electronics Technologies in 2023