期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：2
页码：159-172
DOI：10.14257/ijhit.2015.8.2.14
出版社：SERSC
摘要：Servers workload in the cloud environment should be balanced in order to achieve high efficiency and reduce resources consuming. One of the solutions is based on workload prediction, and design a proper load migration and balancing strategy. For the ease of discussion, we focus on CPU workload only in this paper. Specifically, considering the characteristics of workload, such as the strong correlation with time, we employ a time-series based two-step method to predict the CPU workload for both individual physical server and the cluster. Then, with the knowledge of the cluster workload, we design a strategy for workload migration and load balancing. Besides, we conduct extensive experiments to evaluate our method.
关键词：Load Balancing; CPU Workload Prediction; Time-series Analysis
