Effective VM sizing in virtualized data centers

Ming Chen, Hui Zhang, Ya-Yunn Su, Xiaorui Wang, Guofei Jiang, K. Yoshihira
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引用次数: 130

Abstract

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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虚拟化数据中心中有效的虚拟机大小调整
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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