Open access peer-reviewed Edited Volume

Fault Tolerance

P. Balasubramaniam

Gandhigram Rural Institute

The book editor is recognized as the top most cited 2% scientist in India in the field of AI and Image Processing by Stanford University, USA.


Cost-Effective Performance Operation Research Optimal Control Loss of Data Stability Database Hardware Software Recovery Strategic Method Interconnection

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About the book

Fault tolerance refers to the ability of a system including a computer, network, and cloud cluster that works without interruption even when one or more of its components fail. The main motive is to develop the fault-tolerant system to prevent failures for ensure no loss of service. In Hardware systems backup method is followed. In Software systems once failure occurs operations can be automatically redirected to the second database. Also in the Power sources, alternative sources are used as generators for electricity failures. It can play a vital role in a disaster recovery strategy. Both high availability and fault tolerance are essential functions during minor failures and in the event of a disaster.

The following research topics in the book will attract not only industrial communities, but also researchers. This book aims to provide readers with downtime -in terms of micro seconds to be fixed to avoid service interruption, scope -shared set of resources could be built to manage failures and minimize downtime, minimizing cost –a fault tolerant system can be costly but we need the continuous operation and maintenance.

Hence this book aims to cover fault-tolerant design and high availability that are interlinked to avoid interruptions to provide good services even in complex situation.

Publishing process

Book initiated and editor appointed

Date completed: November 3rd 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: January 30th 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: April 20th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: June 19th 2022

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

P. Balasubramaniam

Gandhigram Rural Institute

Prof. P. Balasubramaniam was awarded Doctor of Philosophy (Ph.D.) in 1994 in the field of Mathematics with specialization in the area of Control Theory from the Department of Mathematics, Bharathiar University, Coimbatore, Tamil Nadu, India. Now he is rendering his services as a Professor, Department of Mathematics, Gandhigram Rural University, Gandhigram, India, from November 2006 to this date. He has worked as a Visiting Research Professor at Pusan National University, Pusan, South Korea and in the Institute of Mathematical Sciences, University of Malaya, Malaysia. He has published more than 260 research papers in various SCI journals holding impact factors. He is serving as a reviewer of many SCI journals and is a member of the editorial board of several Journals. Prof. P. Balasubramaniam is also an Editor-in-Chief of the journal Modern Instrumentation, Scientific Research Publishing Inc. (SCIRP), and Associate Editor of Neural Processing Letters. He is the recipient of Tamil Nadu Scientist Award (TANSA) in 2005 and Tamil Nadu Senior Scientist Award 2018 for the discipline of Mathematical Sciences. He received the Mid-Career award by UGC, Govt. of India, New Delhi in the year 2019 and was among the top 2% recognized scientists in India in the same year, in the field of artificial intelligence and image processing, by Stanford University, USA. His research interests include control theory, stochastic differential equations, computing, stability analysis, cryptography, neural networks and image processing.

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