云环境下基于遗传算法的虚拟资源优化分配

K. D. Babu, D. Kumar, Suresh Veluru
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引用次数: 6

摘要

优化资源利用率是在云中执行任务的最大挑战之一。资源提供者负责通过创建用于在云上执行任务的虚拟机来提供资源。为了最优地利用资源,资源提供者必须负责将资源分配给虚拟机管理器(VMM)的过程。在本文中,提出了一种在云中有效利用资源的方法,考虑到剩余资源应该在单个机器上最大化,而不是分布。作为虚拟资源映射的框架,应用简单遗传算法求解启发式分配问题。我们也可以将多个参数转换为单个等效参数,这样可以减少输入和比较的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal allocation of virtual resources using genetic algorithm in cloud environments
Optimal resource utilization is one of the biggest challenges for executing tasks within the cloud. The resource provider is responsible for providing the resources by creating virtual machines for executing task over a cloud. To utilize the resources optimally, the resource provider has to take care of the process of allocating resources to Virtual Machine Manager (VMM). In this paper, an efficient way to utilize the resources, within the cloud, has been proposed considering remaining resources should be maximum at a single machine but not distributed. As a framework to virtual resource mapping, a Simple Genetic Algorithm is applied to solve the heuristic of allocating problem. We may also use conversion of multiple parameters into single equivalent parameter so that number of inputs and comparisons will be reduced.
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