Multi-objective edge server placement using the whale optimization algorithm and game theory

Due to the users’ mobility, new online applications, as well as low processing power and limited energy of smart devices, traditional cloud computing models could not provide new required services. Cloud service providers improve the quality of their services by moving some servers to the edge of th...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 27; číslo 21; s. 16143 - 16157
Hlavní autoři:	Asghari, Ali, Azgomi, Hossein, darvishmofarahi, Zahra
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023 Springer Nature B.V
Témata:	Algorithms Application of Soft Computing Artificial Intelligence Cloud computing Clustering Computational Intelligence Control Costs Distance learning Edge computing Energy consumption Engineering Game theory Genetic algorithms Literature reviews Mathematical Logic and Foundations Mechatronics Methods Network latency Neural networks Optimization Placement Quality of service architectures Robotics Servers Workloads Edge server placement WOA algorithm Load balancing Game theory Latency
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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