文献类型：期刊文献

英文题名：Multi-objective biogeography-based method to optimize virtual machine consolidation

作者：Shi, Kai[1,2]; Yu, Hui Qun[1]; Luo, Fei[1]; Fan, Gui Sheng[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Shanghai Key Laboratory of Computer Software Evaluating and Testing, Shanghai, 201112, China

年份：2016

卷号：2016-January

起止页码：225

外文期刊名：Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE

收录：EI(收录号：20163902840777)

语种：英文

外文关键词：Electric power utilization - Heuristic algorithms - Computing power - Ecology - Resource allocation - Green computing - Virtual machine - Energy efficiency - Multiobjective optimization - Network security

摘要：Virtual machine consolidation (VMC) is an important issue in cloud computing, which can be used to reduce power consumption and achieve reasonable resource allocation. In this paper, an IMBBO algorithm is proposed to solve the multi-objective optimization problem of VMC through improving the classical Biogeography-Based Optimization (BBO). An improved Cosine migration model and an improved mutation model are presented to increase the efficiency of achieving the optimal solution. Meanwhile, three optimization objectives for server power consumption, load balancing and migration resource overhead are mainly addressed. Finally, several experiments are done to evaluate the performance of IMBBO by comparing with Gravitational Search Algorithm (GSA) based on the synthetic and real VM running data. The results show that the IMBBO optimizes VM consolidation with higher efficiency. Copyright ? 2016 by KSI Research Inc. and Knowledge Systems Institute Graduate School.