A Virtual Machine Placement Algorithm Combining NSGA-II and Bin-Packing Heuristic

Wenting Wei, Kun Wang, Kexin Wang, Shengjun Guo, Huaxi Gu
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引用次数: 2

Abstract

The servers in the data center networks have multi-dimensional physical resources, and there is a lot of diversity in resource consumption among tasks. When virtual machines carrying different user requests are deployed on the same server at the same time, it is very likely that there is an imbalanced usage of multi-dimensional resources, resulting in the waste of physical resources. In this paper, we focus on virtual machine placement in data centers aiming to balance multi-dimensional resource usage and maximize the service rate. To solve such a bi-objective optimization problem, we present a joint bin-packing heuristic and genetic algorithm to reduce the time complexity while obtaining an approximate optimal solution.
一种结合NSGA-II和装箱启发式的虚拟机布局算法
数据中心网络中的服务器具有多维物理资源,任务之间的资源消耗存在很大差异。当承载不同用户请求的虚拟机同时部署在同一台服务器上时,很可能出现多维资源的使用不均衡,造成物理资源的浪费。在本文中,我们关注虚拟机在数据中心中的放置,旨在平衡多维资源使用和最大化服务率。为了解决这类双目标优化问题,我们提出了一种联合装箱启发式和遗传算法来降低时间复杂度,同时获得近似最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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