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  • 标题:IMPROVING THE TASK SCHEDULING IN CLOUD COMPUTING WITH ANALYTIC HIERARCHY PROCESS
  • 本地全文:下载
  • 作者:NAOUFAL ER-RAJI ; FAOUZIA BENABBOU ; NAWAL SAEL
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2019
  • 卷号:97
  • 期号:13
  • 页码:3616-3626
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Cloud Computing has been recently considered as the most demanded technology. It is a new technology that aims to provide computing resources through a network (mostly internet) with an easy use. However, since it is a new technology, it is struggling with some difficulties, one of which is Task Scheduling. The latter, not only has an important role in the Quality of Service (QoS) but also has a big impact regarding the Service Level Agreement (SLA). In this paper, we strive to use Analytic Hierarchy Process (AHP) in order to improve and give more precision for Task Scheduling in Cloud Computing environment through improving the tasks classification in the tasks priority queues. The results of this paper demonstrate that AHP can be used to give more precision for the tasks priority queues instead of the use of the traditional algorithms.
  • 关键词:Cloud Computing; Task Scheduling; Analytic Hierarchy Process; Priority Queues
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