虚拟化数据中心中有效的虚拟机大小调整

12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops Pub Date : 2011-05-23 DOI:10.1109/INM.2011.5990564

Ming Chen, Hui Zhang, Ya-Yunn Su, Xiaorui Wang, Guofei Jiang, K. Yoshihira

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引用次数: 130

摘要

本文从近似算法的角度研究虚拟化数据中心中的服务器整合问题。我们将服务器整合描述为随机装箱问题，其中给定服务器容量和允许的服务器溢出概率p，目标是将vm分配给尽可能少的物理服务器，并且物理服务器的聚合负载超过服务器容量的概率最多为p。

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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Effective VM sizing in virtualized data centers

In this paper, we undertake the problem of server consolidation in virtualized data centers from the perspective of approximation algorithms. We formulate server consolidation as a stochastic bin packing problem, where the server capacity and an allowed server overflow probability p are given, and the objective is to assign VMs to as few physical servers as possible, and the probability that the aggregated load of a physical server exceeds the server capacity is at most p.

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来源期刊

12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops

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