一种基于布谷鸟搜索的虚拟机放置机制

Loveleena Mukhija, Rohit Sachdeva
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引用次数: 2

摘要

虚拟化已被证明是当今云计算场景中的一个福音。计算用户应用程序所面临的主要挑战之一是如何将数据中心的资源(尤其是虚拟机)最佳地放置到物理主机上,以成功完成用户的计算任务。在本文中,我们应用了一种KCS算法,该算法将生物启发布谷鸟搜索与无监督K聚类机器学习算法相结合,用于解决VMP问题。这两种算法的结合可以得到近似最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Effective Mechanism for Virtual Machine Placement using Cuckoo Search
Virtualization has been proved as a boon for computing in today’s scenario in the cloud. One of the major challenges faced while computing user applications relates to the placement of resources of the data centre especially virtual machines to the physical hosts optimally for successfully completion of users computational tasks. Sustainable use of resources eminently energy efficient and renewable resources contribute to the economies of scale In this paper we apply a KCS algorithm which integrates bio inspired cuckoo search with unsupervised K clustering machine learning algorithm for resolving the VMP problem. The integration of these two algorithms can result in near optimal solution.
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