Overview

As the demand for computing surges, the need for sustainable solutions has never been more urgent. Energy-efficient algorithms and green data centers are the at the forefront of sustainable computing which aims to reduce carbon footprints while maintaining high- performance capabilities. Traditional data centers consume a vast amount of electricity, contributing to the environmental impact. By integrating energy efficient workloads and renewable energy sources, green data centers can minimize waste and enhance efficiency. These advancements support environmental sustainability while driving cost savings and operational resilience, paving the way for a greener digital future. Energy Efficient Algorithms and Green Data Centers for Sustainable Computing explores sustainable computing, including advancements in energy efficient algorithms and green data center strategies. It addresses the environmental challenges and increasing energy demands of modern computing. This book covers topics such as energy efficient algorithms, green data centers, and sustainability metrics and assessments, and is an excellent resource for researchers, academicians, data scientists, environmental scientists, software developers, and technology entrepreneurs.

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|P.J. Beslin Pajila - Editor|Dr. P. J. Beslin Pajila is an accomplished academic and researcher with over 12 years of experience in teaching and research, specializing in Wireless Sensor Networks. She completed her Ph.D. in Computer Science and Engineering from Anna University in 2022. She has published two SCI papers, two Scopus-indexed papers, and contributed to several book chapters. Dr. Pajila has taught at esteemed institutions such as Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology and Francis Xavier Engineering College, contributing significantly to the academic community. Her areas of expertise include Python, Data Structures, and Machine Learning. In addition to her teaching career, she has industry experience as a Business Analyst at CentizenInc, Tirunelveli. Dr. Pajila has participated in numerous conferences and delivered expert lectures, covering topics such as Artificial Intelligence, Cybersecurity, and Data Science. She is also an active reviewer for prominent journals including Soft Computing and Journal of Intelligent & Fuzzy Systems. Throughout her career, Dr. Pajila has been recognized for her academic contributions and active involvement in department activities, holding positions such as Department Placement Coordinator and GATE Coordinator. She is passionate about programming, gardening, and art, and continues to contribute to advancements in AI, IoT, and sustainable technologies. |Belfin Robinson Vimala - Editor | Dr. Belfin Robinson Vimala is a Postdoctoral Research Associate at the Department of Neurology, University of North Carolina, specializing in fMRI and neuroinformatics. With a Ph.D. in Computer Science and Engineering from Karunya Institute of Technology and Sciences, she focuses on data science, network science, and graph theory. Her research on Alzheimer's and chronic pain diagnostics, leveraging machine learning and deep learning models, has contributed significantly to biomarker identification with high accuracy. Dr. Vimala has also worked extensively in developing diagnostic models for epilepsy and facial pain using advanced imaging techniques. Her professional journey includes roles as an Assistant Professor at Karunya University, where she developed algorithms for community detection and COVID-19 prediction, widely cited across the globe. In addition to her academic achievements, Dr. Vimala has industry experience as a software engineer at Wipro Technologies and Robert Bosch. She has authored several journal articles and presented at international conferences, focusing on social networks, health informatics, and machine learning applications. Dr. Vimala has also been recognized for her leadership roles, including organizing technical events and serving on program committees for prominent international conferences. Her contributions to both academia and industry reflect her expertise in data-driven research and healthcare innovation, making her a well-regarded professional in her field. |Gopala krishnan C - Editor | Dr. C. Gopala Krishnan is a seasoned academic professional with over 19 years of experience, currently serving as an Associate Professor in the Department of Computer Science and Engineering at GITAM School of Technology, Bengaluru. He earned his Ph.D. from St. Peter's Institute of Higher Education and Research in 2018, with earlier degrees from Anna University and Madurai Kamaraj University. His teaching expertise spans across a variety of subjects including Computer Networks, Mobile Computing, and Wireless Sensor Networks. Dr. Gopala Krishnan has participated in numerous faculty development programs and delivered guest lectures on emerging technologies. His research contributions include several papers published in prestigious journals, focusing on areas such as ad-hoc networks, cloud computing, and wireless sensor networks. He has also been actively involved in funded projects, co-leading initiatives aimed at preserving Indian heritage through deep learning and promoting technology awareness among rural students. A member of the ISTE, Dr. Gopala Krishnan is known for his strong technical, communication, and analytical skills. Fluent in Tamil, English, and Hindi, he also enjoys playing shuttle badminton during his free time.

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