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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Alwaeli, Aliaa Kadhim Gabbar | - |
dc.contributor.author | Al-Hamami, Karrar Ezzulddin Kareem | - |
dc.date.accessioned | 2023-04-30T22:10:18Z | - |
dc.date.available | 2023-04-30T22:10:18Z | - |
dc.date.issued | 2022-06 | - |
dc.identifier.issn | 2616-6127 | - |
dc.identifier.issn | 2617-4383 | - |
dc.identifier.other | https://doi.org/10.32010/26166127.2022.5.1.131.142 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/77 | - |
dc.description.abstract | Utilizing 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.iso | en | en_US |
dc.publisher | Azerbaijan Journal of High Performance Computing | en_US |
dc.subject | Cloud Computing | en_US |
dc.subject | Scheduling Algorithm | en_US |
dc.subject | Task Scheduling | en_US |
dc.subject | Scheduling Approaches | en_US |
dc.title | TASK SCHEDULING ALGORITHMS IN CLOUD COMPUTING | en_US |
dc.type | Article | en_US |
dc.source.journaltitle | Azerbaijan Journal of High Performance Computing | en_US |
dc.source.volume | 5 | en_US |
dc.source.issue | 1 | en_US |
dc.source.beginpage | 131 | en_US |
dc.source.endpage | 142 | en_US |
dc.source.numberofpages | 12 | en_US |
Appears in Collections: | Azerbaijan Journal of High Performance Computing |
Files in This Item:
File | Description | Size | Format | |
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doi.org.10.32010.26166127.2022.5.1.131.142.pdf | 826.09 kB | Adobe PDF | View/Open |
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