An advanced load balancing strategy for cloud environment

Jiadong Zhang; Qiongxin Liu; Jiayu Chen

doi:10.1109/PDCAT.2016.059

An advanced load balancing strategy for cloud environment

Jiadong Zhang, Qiongxin Liu, Jiayu Chen

计算机学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

5 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016
编辑	Hong Shen, Hong Shen, Yingpeng Sang, Hui Tian
出版商	IEEE Computer Society
页	240-243
页数	4
ISBN（电子版）	9781509050819
DOI	https://doi.org/10.1109/PDCAT.2016.059
出版状态	已出版 - 2 7月 2016
活动	17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016 - Guangzhou, 中国期限: 16 12月 2016 → 18 12月 2016

出版系列

姓名	Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings
卷	0

会议

会议	17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016
国家/地区	中国
市	Guangzhou
时期	16/12/16 → 18/12/16

访问文件

10.1109/PDCAT.2016.059

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, J., Liu, Q., & Chen, J. (2016). An advanced load balancing strategy for cloud environment. 在 H. Shen, H. Shen, Y. Sang, & H. Tian (编辑), Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016 (页码 240-243). 文章 7943364 (Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings; 卷 0). IEEE Computer Society. https://doi.org/10.1109/PDCAT.2016.059

Zhang, Jiadong ; Liu, Qiongxin ; Chen, Jiayu. / An advanced load balancing strategy for cloud environment. Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016. 编辑 / Hong Shen ; Hong Shen ; Yingpeng Sang ; Hui Tian. IEEE Computer Society, 2016. 页码 240-243 (Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings).

@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",

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}

Zhang, J, Liu, Q & Chen, J 2016, An advanced load balancing strategy for cloud environment. 在 H Shen, H Shen, Y Sang & H Tian (编辑), Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016., 7943364, Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings, 卷 0, IEEE Computer Society, 页码 240-243, 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016, Guangzhou, 中国, 16/12/16. https://doi.org/10.1109/PDCAT.2016.059

An advanced load balancing strategy for cloud environment. / Zhang, Jiadong; Liu, Qiongxin; Chen, Jiayu.
Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016. 编辑 / Hong Shen; Hong Shen; Yingpeng Sang; Hui Tian. IEEE Computer Society, 2016. 页码 240-243 7943364 (Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings; 卷 0).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - An advanced load balancing strategy for cloud environment

AU - Zhang, Jiadong

AU - Liu, Qiongxin

AU - Chen, Jiayu

PY - 2016/7/2

Y1 - 2016/7/2

N2 - 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.

AB - 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.

KW - Cloud computing

KW - Load balancing

KW - Threshold window

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U2 - 10.1109/PDCAT.2016.059

DO - 10.1109/PDCAT.2016.059

M3 - Conference contribution

AN - SCOPUS:85021997919

T3 - Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings

SP - 240

EP - 243

BT - Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016

A2 - Shen, Hong

A2 - Sang, Yingpeng

A2 - Tian, Hui

PB - IEEE Computer Society

T2 - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016

Y2 - 16 December 2016 through 18 December 2016

ER -

Zhang J, Liu Q, Chen J. An advanced load balancing strategy for cloud environment. 在 Shen H, Shen H, Sang Y, Tian H, 编辑, Proceedings - 17th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2016. IEEE Computer Society. 2016. 页码 240-243. 7943364. (Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings). doi: 10.1109/PDCAT.2016.059

An advanced load balancing strategy for cloud environment

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