Computational Intelligence for Green Cloud Computing and Digital Waste Management

In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption. Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource. It strives to not only educate, but also inspire and empower readers to contribute to the development of green computing solutions. Through in-depth research, case studies, and a roadmap for the future, Computational Intelligence for Green Cloud Computing and Digital Waste Management paves the way for a greener, more efficient digital and physical world.

K. Dinesh Kumar is working as an Assistant Professor in the School of Computing, Amrita Vishwa Vidyapeetham University. Ph.D. degree received from the School of Computer Science and Engineering, VIT University. Published international publications and participated in various international and national conferences. Active review member for various reputed leading research journals like IEEE transactions, Springer, Wiley, IGI Global, Taylor & Francis Online, Hindawi etc. and also acted as review member for international conferences like MBDAS-2021, Shenzhen, China and ICMEMSCE-2018, Xiamen, China. Co-author of three textbooks. Certified AWS Solution Architect (Associate). Research area is Cloud computing and Machine learning also have interests in Fog computing and Computer networks.

Vijayakumar Varadarajan is currently a Program Leader fir Engineering in Ajeenkya DY Patil University India and also an Adjunct Professor in School of Computer Science and Engineering, University of New South Wales, Sydney, Australia. He is also a Visiting Postdoc Scientist in Centro de Tecnologia, Federal University of Piauí, Brazil. He was a Professor and Associate Dean for School of Computing Science and Engineering at VIT University, Chennai, India. He has more than 21 years of experience including industrial and institutional. He also served as a Team Lead in industries like Satyam, Mahindra Satyam and Tech Mahindra for several years. He has completed Diploma with First Class Honors. He has completed BE CSE and MBA HRD with First Class. He has also completed ME CSE with First Rank Award. He has completed his PhD from Anna University in 2012. He has published many articles in national and international level journals/conferences/books. He is a reviewer in IEEE Transactions, Inderscience and Springer Journals. He has initiated a number of international research collaborations with universities in Europe, Australia, Africa, Malaysia, Singapore and North & South America. He had also initiated joint research collaboration between VIT University and various industries. He is also the Lead Guest Editor for few journals in Inderscience, Springer, Elsevier, IOS, UM and IGI Global. He also organized several international conferences and special sessions in USA, Vietnam, Africa, Malaysia and India including ARCI, IEEE, ACSAT, ISRC, ISBCC, ICBCC etc. His research interests include computational areas covering grid computing, cloud computing, computer networks, cyber security and big data. He received his university-level Best Faculty Award for 2015–2016. He is also a member of several national and international professional bodies including IFSA, EAI, BIS, ISTE, IAENG, CSTA, IEA, etc.

Nidal Nasser received his B.Sc. and M.Sc. degrees with Honors in Computer Engineering from Kuwait University, State of Kuwait, in 1996 and 1999, respectively. He completed his Ph.D. in the School of Computing at Queen’s University, Kingston, Ontario, Canada, in 2004. He is currently an Associate Professor and Chairman of Electrical and Computer Engineering Department at Alfaisal University, Saudi Arabia. He worked in the School of Computer Science at University of Guelph, Guelph, Ontario, Canada (2004-2011). Dr. Nasser was the founder and Director of the Wireless Networking and Mobile Computing Research Lab @ Guelph (WiNG: ). He has authored 129 journal publications, refereed conference publications and book chapters in the area of wireless communication networks and systems. He has also given tutorials in major international conferences. Dr. Nasser is currently serving as an associate editor of Wiley’s International Journal of Wireless Communications and Mobile Computing, Wiley’s International Journal on Communication Systems, Wiley’s Security and Communication Networks Journal and International Journal of Ad Hoc & Sensor Wireless Networks. He has been a member of the technical program and organizing committees of several international IEEE conferences and workshops. Dr. Nasser is a member of several IEEE technical committees. He received Fund for Scholarly and Professional Development Award in 2004 from Queen’s University. He received the Computing Faculty Appreciation Award from the University of Guelph-Humber. He received the Best Research Paper Award at the ACS/IEEE International Conference on Computer Systems and Applications (AICCSA’08), at the International Wireless Communications and Mobile Computing Conference (IWCMC’09), at the International Wireless Communications and Mobile Computing Conference (IWCMC’11), and at the International Conference on Computing, Management and Telecommunications (ComManTel’13).

Ravi Kumar Poluru received M.Tech (Software Engineering) from JNTU Anantapur, In 2014. He completed his Ph.D. degree (Internet of Things) in the School of Computer Science and Engineering from the Vellore Institute of Technology (Deemed by the university), Vellore, In 2021. He has 10 years of teaching and research experience as a Junior Research Fellow and Senior Research Fellow from the Ministry of Tribal Affairs, Government of India. Currently, he is an Associate Professor in the Department of Information Technology, Institute of Aeronautical Engineering, Hyderabad. His current research interests include the Internet of Things, Machine Learning, Wireless Sensor Networks, Optimization Techniques, and Nature Inspired Optimization Techniques. He has 20+ publications, including 13-International Journal research papers (SCI and IEEE Transactions) and conferences (International) -2, Book Chapters-6 (Scopus), Patents- 2 Granted and textbooks - 2. He is the reviewer for the E-Learning and Digital Media (SAGE) and WILEY Publications, Conducted Guest Lecture in various Engineering Colleges in India. He received Award for this contribution towards the number of publications in the year 2018.