A Multi-objective Biogeography-Based Optimization for Virtual Machine Placement

In cloud computing, an important issue is virtual machine placement (VMP), selecting the most suitable set of physical hosts for a set of virtual machines. In this paper, we present a novel solution to the VMP problem called VMPMBBO. Our scheme treats the VMP problem as a complex system, and utilize...

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Bibliographic Details
Published in2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing pp. 687 - 696
Main Authors Qinghua Zheng, Rui Li, Xiuqi Li, Jie Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2015
Subjects
Bandwidth
Linear programming
Load modeling
Optimization
Power demand
Servers
Virtual machining
Online AccessGet full text
DOI10.1109/CCGrid.2015.25

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Summary:In cloud computing, an important issue is virtual machine placement (VMP), selecting the most suitable set of physical hosts for a set of virtual machines. In this paper, we present a novel solution to the VMP problem called VMPMBBO. Our scheme treats the VMP problem as a complex system, and utilizes the biogeography-based optimization (BBO) technique to optimize the virtual machine placement that minimizes power consumption, resource waste, server unevenness, inter-VM traffic, storage traffic and migration time at the same time. Compared with three existing multi-objective VMP optimization algorithms, VMPMBBO has better convergence characteristics and is more computationally efficient. VMPMBBO is also robust. Extensive experiments are conducted using synthetic data from related literatures. The results confirm the effectiveness, efficiency, and robustness of the proposed approach. To the best of our knowledge, this work is the first approach that applies BBO and complex system optimization to virtual machine placement (VMP).
DOI:10.1109/CCGrid.2015.25