文献类型：期刊文献

英文题名：Virtual machine placement strategy based on discrete firefly algorithm in cloud environments

作者：Li, Xiao-Ke[1]; Gu, Chun-Hua[1]; Yang, Ze-Ping[1]; Chang, Yao-Hui[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2015

起止页码：61

外文期刊名：2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2015

收录：EI(收录号：20162902615779)

语种：英文

外文关键词：Virtual machine - Bioluminescence - Cloud computing - Constrained optimization - Heuristic algorithms - Network security

摘要：Because of poor performance of heuristic algorithms on virtual machine placement problem in cloud environments, a multi-objective constraint optimization model of virtual machine placement is presented, which taking energy consumption and resource wastage as the objective. We solve the model based on the proposed discrete firefly algorithm. It takes firefly's location as the placement result, brightness as the objective value. Its movement strategy makes darker fireflies move to brighter fireflies in solution space. The continuous position after movement is discretized by the proposed discrete strategy. In order to speed up the search for solution, the local search mechanism for the optimal solution is introduced. The experimental results in OpenStack cloud platform show that the proposed algorithm makes less energy consumption and resource wastage compared with other algorithms. ? 2015 IEEE.