文献类型：会议论文

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]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China

会议论文集：12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)

会议日期：DEC 18-20, 2015

会议地点：Univ Elect Sci & Technol China, PEOPLES R CHINA

主办单位：Univ Elect Sci & Technol China

语种：英文

外文关键词：Cloud Computing; virtual machine placement; energy consumption; resource wastage; firefly algorithm

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 Open Stack cloud platform show that the proposed algorithm makes less energy consumption and resource wastage compared with other algorithms.