Shulph Ink
Energy Conservation Solutions for Fog-Edge Computing Paradigms
Energy Conservation Solutions for Fog-Edge Computing Paradigms
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- More about Energy Conservation Solutions for Fog-Edge Computing Paradigms
This book discusses energy efficiency concerns in fog-edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. It provides a detailed approach to conserving energy and comparative case studies with state-of-the-art approaches.
Format: Paperback / softback
Length: 307 pages
Publication date: 08 September 2021
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the critical realm of energy efficiency in fog-edge computing, addressing the intricate requirements associated with Industry 4.0 and the emerging next-generation networks like 5G and 6G. It serves as a valuable guide for the research community, providing practical insights and methodologies to navigate the challenges of conserving energy in fog-edge computing environments. The book explores a holistic approach to energy conservation, encompassing various performance evaluation metrics such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies. Through detailed case studies and state-of-the-art approaches, it sheds light on the potential of fog and edge networks in optimizing energy consumption and enhancing overall system performance.
This comprehensive book delves into the critical realm of energy efficiency in fog-edge computing, addressing the intricate requirements associated with Industry 4.0 and the emerging next-generation networks like 5G and 6G. It serves as a valuable guide for the research community, providing practical insights and methodologies to navigate the challenges of conserving energy in fog-edge computing environments. The book explores a holistic approach to energy conservation, encompassing various performance evaluation metrics such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies. Through detailed case studies and state-of-the-art approaches, it sheds light on the potential of fog and edge networks in optimizing energy consumption and enhancing overall system performance.
Weight: 498g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811634505
Edition number: 1st ed. 2022
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