An efficient job scheduling algorithm for grid computing

Sarpreet Singh, R. K. Bawa
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Abstract

The emerging computational grid infrastructure consists of heterogeneous resource in widely distributed autonomous domain, which makes resources scheduling even more challenging. The most common objective function of task scheduling problem is makespan. In this paper, I have proposed an efficient Job scheduling algorithm for the grid environment so that the jobs are executed in minimum time and also all nodes of grid execute equal load relative to their executing power. This technique fetches the jobs from the job queue that is ready to execute and assign these jobs to the best nodes of the grid.
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网格计算中一种高效的作业调度算法
新兴的计算网格基础设施由分布广泛的自治域中的异构资源组成,这给资源调度带来了更大的挑战。任务调度问题中最常见的目标函数是最大时间。本文针对网格环境,提出了一种高效的作业调度算法,使作业在最短的时间内执行,并使网格的所有节点执行相对于其执行能力的负载相等。该技术从准备执行的作业队列中获取作业,并将这些作业分配给网格的最佳节点。
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