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dc.contributor.authorAlwaeli, Aliaa Kadhim Gabbar-
dc.contributor.authorAl-Hamami, Karrar Ezzulddin Kareem-
dc.date.accessioned2023-04-30T22:10:18Z-
dc.date.available2023-04-30T22:10:18Z-
dc.date.issued2022-06-
dc.identifier.issn2616-6127-
dc.identifier.issn2617-4383-
dc.identifier.otherhttps://doi.org/10.32010/26166127.2022.5.1.131.142-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/77-
dc.description.abstractUtilizing virtualization technology, a cloud computing service provides on-demand access to computer resources & services through the internet. There are new ways to control the functioning of cloud resources since they are constructed in diverse places. More than one algorithm Possibly included in these plans. One of the most important components of a high-performing cloud computing system is the scheduling mechanism. Fault tolerance & load balancing methods are also included in the scheduling system, not only task scheduling strategies. Fault handling Possibly accomplished via using scheduling systems. We analyze & contrast a few different scheduling algorithms to see what they have going for them in terms of benefits & drawbacks.en_US
dc.language.isoenen_US
dc.publisherAzerbaijan Journal of High Performance Computingen_US
dc.subjectCloud Computingen_US
dc.subjectScheduling Algorithmen_US
dc.subjectTask Schedulingen_US
dc.subjectScheduling Approachesen_US
dc.titleTASK SCHEDULING ALGORITHMS IN CLOUD COMPUTINGen_US
dc.typeArticleen_US
dc.source.journaltitleAzerbaijan Journal of High Performance Computingen_US
dc.source.volume5en_US
dc.source.issue1en_US
dc.source.beginpage131en_US
dc.source.endpage142en_US
dc.source.numberofpages12en_US
Appears in Collections:Azerbaijan Journal of High Performance Computing

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