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Priority based Performance Improved Algorithm for Meta-task Scheduling in Cloud environment

机译:基于优先级的云环境中的Meta-Task调度算法

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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.
机译:在云中计算是一个局部技能,驳住于计算资源和服务的计算资源和服务的基础。要访问远程计算机,调度是一个关键任务。任务的计划是一个NP完整问题。在云计算气氛中是额外的模糊。为了实现云资源的改进性能,需要成功和精通调度方法。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。它考虑了元任务的用户优先级。基于MIN-MIN算法调度高优先级元任务集,然后基于MAX-MIN算法调度正常优先级元任务集。该算法提供了最低的Mapspan和更好的资源利用率。

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