HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system

Edge computing is a popular computing modality that works by placing computing resources as close as possible to the sensor data to relieve the burden of network bandwidth and data centers in cloud computing. However, as the volume of data and the scale of tasks processed by edge terminals continue...

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Veröffentlicht in:	World wide web (Bussum) Jg. 25; H. 5; S. 2265 - 2295
Hauptverfasser:	Kang, Yan, Yang, Xuekun, Pu, Bin, Wang, Xiaokang, Wang, Haining, Xu, Yulong, Wang, Puming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2022 Springer Nature B.V
Schlagworte:	Algorithms Cloud computing Computer Science Data centers Database Management Edge computing Entrapment Hybrid systems Information Systems Applications (incl.Internet) Mobile and IoT Applications Multiple objective analysis Operating Systems Optimization Optimization algorithms Performance enhancement Special Issue on Resource Management at the Edge for Future Web Multi-objective optimization Scheduling Edge cloud computing system Whale optimization algorithm Task selection strategy
ISSN:	1386-145X, 1573-1413
Online-Zugang:	Volltext
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