TY  - GEN
AB  - This book focuses on energy efficiency concerns in fogedge 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 fogedge 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.
AU  - Tiwari, Rajeev.
AU  - Mittal, Mamta,
AU  - Goyal, Lalit Mohan.
CN  - QA76.9.D5
CY  - Singapore :
DA  - [2022]
DO  - 10.1007/978-981-16-3448-2
DO  - doi
ID  - 1442254
KW  - Electronic data processing
KW  - Internet of things.
KW  - Traitement réparti.
KW  - Internet des objets.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3448-2
N1  - Fog-Computing: A Novel Approach for Cloud-Based Devices Using Perceptual Cloning Manifestation-PerColNif Taxonomy by Energy Optimization.
N2  - This book focuses on energy efficiency concerns in fogedge 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 fogedge 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.
PB  - Springer,
PP  - Singapore :
PY  - [2022]
SN  - 9789811634482
SN  - 9811634483
T1  - Energy conservation solutions for fog-edge computing paradigms /
TI  - Energy conservation solutions for fog-edge computing paradigms /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3448-2
VL  - v. 74
ER  -