云计算中的优先级感知作业调度算法:一种多准则方法

Shamsollah Ghanbari
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引用次数: 4

摘要

作业调度是云计算领域中最具争议的理论问题之一。现有的调度方法试图只考虑几个调度标准,而没有涵盖其他充分的标准。由于云计算需要优化用户的需求,面临着分配给大量作业的大规模资源;因此,一个合适的基于云的作业调度方法必须满足广泛的标准。此外,在云计算中,工作有不同的优先级。因此,在云环境中,合适的作业调度算法应该能够组合多个优先级。提出了一种新的云计算多准则优先级感知作业调度算法。实验结果表明,该方法能够考虑不同的调度准则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PRIORITY-AWARE JOB SCHEDULING ALGORITHM IN CLOUD COMPUTING: A MULTI-CRITERIA APPROACH
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.
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