Research of Task Scheduling of Ad hoc Cluster Computing Based on Genetic Algorithm

Ming Xu
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引用次数: 2

Abstract

The system of Ad hoc cluster computing is a flexible, self-organization and expandable applications. The request of a task may have more than one back-up resources to meet demand in the Ad hic cluster computing system. How to choose the best resources available to users is the core of system. This paper proposes a kind of genetic algorithm for task scheduling in Ad hoc cluster computing in view of mathematical description and analysis of the capacity of the nodes, network resources and energy of the nodes. The experimental results show that the algorithm can make full use of limited bandwidth resources and maximize the continual ability of network.
基于遗传算法的自组织集群计算任务调度研究
自组织集群计算系统是一种灵活、自组织、可扩展的应用程序。在Ad集群计算系统中,一个任务的请求可能有多个备份资源来满足需求。如何选择最好的资源提供给用户是系统的核心。从对节点容量、网络资源和节点能量的数学描述和分析出发,提出了一种用于自组织集群计算任务调度的遗传算法。实验结果表明,该算法可以充分利用有限的带宽资源,最大限度地提高网络的连续能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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