A grouping genetic algorithm for virtual machine placement in cloud computing

Abstract

Virtual machine placement is a process of mapping virtual machines to physical machines. The optimal placement is important for improving power efficiency in a cloud computing environment. In this paper, we exploit a grouping genetic algorithm to solve the virtual machine placement problem. The goal is to efficiently obtain a set of non-dominated solutions that minimize power consumption. The proposed algorithm is tested with some instances from the related literatures. The experimental results show that the proposed algorithm is more efficient and effective than the other related algorithms.