Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

Next generation communication networks are expected to accommodate a high number of new and resource-voracious applications that can be offered to a large range of end users. Even though end devices are becoming more powerful, the available local resources cannot cope with the requirements of these...

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Bibliographic Details
Published in:	Computer networks (Amsterdam, Netherlands : 1999) Vol. 195; p. 108177
Main Authors:	Saeik, Firdose, Avgeris, Marios, Spatharakis, Dimitrios, Santi, Nina, Dechouniotis, Dimitrios, Violos, John, Leivadeas, Aris, Athanasopoulos, Nikolaos, Mitton, Nathalie, Papavassiliou, Symeon
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 04.08.2021 Elsevier Sequoia S.A Elsevier
Subjects:	Application Artificial intelligence Cloud computing Communication Communication networks Computation Computation offloading Computer Science Control theory Distributed, Parallel, and Cluster Computing Edge Computing End users Infrastructure Mathematical optimization Networking and Internet Architecture Optimization Polls & surveys Resource allocation Task offloading Ubiquitous Computing Edge Computing Control theory Mathematical optimization Artificial intelligence Task offloading Resource allocation Control Theory Mathematical Optimization Task Offloading Resource Allocation Artificial Intelligence
ISSN:	1389-1286, 1872-7069
Online Access:	Get full text
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