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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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 27; H. 21; S. 16143 - 16157
Hauptverfasser:	Asghari, Ali, Azgomi, Hossein, darvishmofarahi, Zahra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
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