An improved multi-objective genetic algorithm with heuristic initialization for service placement and load distribution in edge computing

Edge Computing (EC) is a promising concept to overcome some obstacles of traditional cloud data centers to support Internet of Things (IoT) applications, especially time-sensitive applications. However, EC faces some challenges, including the resource allocation for heterogeneous applications at a n...

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Vydáno v:	Computer networks (Amsterdam, Netherlands : 1999) Ročník 194; s. 108146
Hlavní autoři:	Maia, Adyson M., Ghamri-Doudane, Yacine, Vieira, Dario, Franklin de Castro, Miguel
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 20.07.2021 Elsevier Sequoia S.A Elsevier
Témata:	5G network Algorithms Application Cloud computing Computer Science Data centers Decision making Edge computing Genetic algorithm Genetic algorithms Genetics Heuristic Internet Internet of Things Load distribution Load distribution (forces) Multi-objective optimization Objectives Placement Resource allocation Service placement Violations Workloads Internet of things Load distribution Genetic algorithm 5G network Multi-objective optimization Service placement Edge computing Edge Computing 5G Network slicing IoT
ISSN:	1389-1286, 1872-7069
On-line přístup:	Získat plný text
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