GSAGA: A hybrid algorithm for task scheduling in cloud infrastructure

Cloud computing is becoming a very popular form of distributed computing, in which digital resources are shared via the Internet. The user is provided with an overview of many available resources. Cloud providers want to get the most out of their resources, and users are inclined to pay less for bet...

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Veröffentlicht in:	The Journal of supercomputing Jg. 78; H. 15; S. 17423 - 17449
Hauptverfasser:	Pirozmand, Poria, Javadpour, Amir, Nazarian, Hamideh, Pinto, Pedro, Mirkamali, Seyedsaeid, Ja’fari, Forough
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2022 Springer Nature B.V
Schlagworte:	Algorithms Cloud computing Compilers Computer networks Computer Science Distributed processing Genetic algorithms Internet resources Interpreters Processor Architectures Programming Languages Random search method Search algorithms Task scheduling Traveling salesman problem Cloud computing Gravitational search Epigenomics NP-hard problem GSA Genetic algorithm SLA Scheduling Resources
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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