@inproceedings{e153b0da4f3a42ebafd5cc9cbae3bed0,
title = "An advanced load balancing strategy for cloud environment",
abstract = "The rapid development of cloud computing, bring great convenience to developers. Recently the resource management of the cloud platform has become a hot research topic, especially the load balancing problem in data center is very important for cloud provider. In this paper, a load balancing framework is proposed for cloud platform, it use the threshold window strategy and an advanced AR prediction model to reduce the migration of VMs. Experiments show that this method can effectively achieve load balancing, promote the utilization of the physical machines, and solve the frequent migration problem caused by high instantaneous peak values significantly.",
keywords = "Cloud computing, Load balancing, Threshold window",
author = "Jiadong Zhang and Qiongxin Liu and Jiayu Chen",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016 ; Conference date: 16-12-2016 Through 18-12-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/PDCAT.2016.059",
language = "English",
series = "Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings",
publisher = "IEEE Computer Society",
pages = "240--243",
editor = "Hong Shen and Hong Shen and Yingpeng Sang and Hui Tian",
booktitle = "Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016",
address = "United States",
}