文献类型：会议论文

英文题名：Research on forecasting algorithm based on exponential smoothing method in cloud computing load balancing

作者：Liu, Kun[1];Xu, Gao-Chao[1];Wang, Ting-Mei[2]

第一作者：Liu, Kun

通讯作者：Liu, K[1]

机构：[1]Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China;[2]Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China

第一机构：Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

通讯机构：[1]corresponding author), Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China.

会议论文集：International Conference on Design, Manufacturing and Mechatronics (ICDMM)

会议日期：APR 17-18, 2015

会议地点：Adv Sci Technol & Ind Res Ctr, Wuhan, PEOPLES R CHINA

主办单位：Adv Sci Technol & Ind Res Ctr

语种：英文

外文关键词：Cloud computing; load balancing; virtual machine migration; forecasting

摘要：Virtual machine migration in cloud computing can solve the problem of the unbalancing load and low efficiency of the whole system which is mainly introduced by heavy load on some nodes. The time to trigger the migration is a key problem in virtual machine migration. This study proposes a trigger migration algorithm based on threshold combined with forecasting algorithm. Using the cloud computing tool CloudSim to simulate the method in this paper, it proves that the algorithm can not only effectively realize the node load balance, but also ignore the instantaneous peak value on the node