云环境下基于优先级的元任务调度性能改进算法

D. Amalarethinam, S. Kavitha
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引用次数: 19

摘要

云计算是一门热门的技术,它对按使用付费的计算资源和服务的分配感到不安。要访问远程计算机,调度是一项关键任务。任务调度是一个np完全问题。在云计算的环境下,它显得更加模糊。为了提高云资源的性能,需要成功和熟练的调度方法。本文提出了一种元任务调度算法——基于优先级的性能改进算法。它考虑元任务的用户优先级。高优先级元任务集采用Min-Min算法调度,普通优先级元任务集采用Max-Min算法调度。该算法具有最小的完工时间和较好的资源利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority based Performance Improved Algorithm for Meta-task Scheduling in Cloud environment
Computing in Cloud is a topical skill that disquiet with allocation of computing resources and services on pay- per- use basis. To access remote computers, scheduling is a key task. Scheduling of task is a NP-complete problem. It is additional obscure in cloud computing atmosphere. To achieve improved performance of cloud resource, successful and proficient scheduling methodologies are needed. This paper proposes, a Meta-task Scheduling algorithm, Priority based Performance Improved Algorithm. It considers the user priority of meta-tasks. The high priority meta-task set is scheduled based on Min-Min algorithm and then the normal priority meta-task set is scheduled based on Max-Min algorithm. The proposed algorithm gives minimum makespan and better resource utilization.
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