Multi-Objective Task Scheduling Using Hybrid Whale Genetic Optimization Algorithm in Heterogeneous Computing Environment

The system of cloud computing comprises of several servers that are inter-connected in a datacenter, provisioned dynamically to cater on-demand services through the front-end interface for the clients. Improvement in virtualization technology has made cloud computing a viable option for various appl...

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Vydáno v:	Wireless personal communications Ročník 110; číslo 4; s. 1887 - 1913
Hlavní autoři:	Natesan, Gobalakrishnan, Chokkalingam, Arun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.02.2020 Springer Nature B.V
Témata:	Cloud computing Communications Engineering Computer Communication Networks Computer simulation Data centers Engineering Genetic algorithms Heuristic methods Heuristic task scheduling Multiple objective analysis Networks Optimization Optimization algorithms Production scheduling Resource scheduling Signal,Image and Speech Processing Virtualization and optimization Task scheduling Hybrid Cloud computing NP-hard Algorithm
ISSN:	0929-6212, 1572-834X
On-line přístup:	Získat plný text
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