This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.
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Dr. Rajeev Tiwari is working as the sr. associate professor in SCS in UPES, Dehradun (India). He is a senior IEEE member. He has done Ph.D. in CSE from Thapar University, Patiala (Punjab). He has more than 16 years of research and teaching experience. His broad areas of research are cloud computing, MANET, VANET, QoS in wireless networks, cache invalidation techniques, Internet of Things (IoT), big data analytics, and machine learning. He is an expert in the simulation and design of scenarios on NS2, SUMO, and MOVE. He is an active member of ACM, IEI, IACSIT, and IAENG. He has 50+ international publications in SCI and Scopus indexed journals and conferences. His publications are majorly indexed in SCI, Scopus, and DBLP. He has published national and international patents also. He has enriched the experience of organizing international conferences successfully. He has major roles as organizing chair, TPC chair, co-chair secretory, etc., in NGCT 2016, NGCT 2017, NGCT 2018, NGCT 2019, ICACCA 2019, IC4S 2019, etc., with Springer and IEEE. He has chaired many sessions in international conferences. He is a lead reviewer in SCI indexed journals of Springer, IEEE, and ScienceDirect and international conferences. He has edited books and published book chapters also with international publishers. He has contributions in funded projects in the field of IoT, cloud and wireless network, FoG/edge computing systems and their QoS.
This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.
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