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DC Field | Value | Language |
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dc.contributor.author | Ghanbari, Shamsollah | - |
dc.date.accessioned | 2023-04-28T18:40:54Z | - |
dc.date.available | 2023-04-28T18:40:54Z | - |
dc.date.issued | 2019-06 | - |
dc.identifier.issn | 2616-6127 | - |
dc.identifier.issn | 2617-4383 | - |
dc.identifier.other | https://doi.org/10.32010/26166127.2019.2.1.29.38 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/19 | - |
dc.description.abstract | Job scheduling is one of the most problematic theoretical issues in the area of cloud computing. The existing scheduling methods attempt to consider only a few criteria of scheduling without covering other sufficient criteria. Since, cloud computing faces a large scale resource for allocating to a large number of jobs, due to optimizing the users’ requirements; therefore, a suitable cloud-based job scheduling method must satisfy a wide range of criteria. Besides, in cloud computing, the jobs come with different priorities. Thus, in the cloud environment, a suitable job scheduling algorithm should be able to combine several priorities. This paper proposes a new multi-criteria priority-aware job scheduling algorithm in cloud computing. Experimental results indicate that the proposed method is able to consider different criteria for scheduling. | 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 | multi-criteria | en_US |
dc.subject | priority-aware job scheduling | en_US |
dc.title | PRIORITY-AWARE JOB SCHEDULING ALGORITHM IN CLOUD COMPUTING: A MULTI-CRITERIA APPROACH | en_US |
dc.type | Article | en_US |
dc.source.journaltitle | Azerbaijan Journal of High Performance Computing | en_US |
dc.source.volume | 2 | en_US |
dc.source.issue | 1 | en_US |
dc.source.beginpage | 29 | en_US |
dc.source.endpage | 38 | en_US |
dc.source.numberofpages | 10 | 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.10.32010.26166127.2019.2.1.29.38.pdf | 1.52 MB | Adobe PDF | View/Open |
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