Approach for distributed BPEL engine placement using K-means

Aiming to solve the distributed BPEL engine placing problem in cloud, a K-means based distributed BPEL en-gine placing algorithm was proposed. The algorithm transforms the BPEL engine placing model into some optimization model in mathematics, and the optimization problem is solved by K-means algorit...

Full description

Saved in:
Bibliographic Details
Main Authors: Rong-heng LIN, Bu-dan WU, Yao ZHAO, Fang-chun YANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-05-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.007/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Aiming to solve the distributed BPEL engine placing problem in cloud, a K-means based distributed BPEL en-gine placing algorithm was proposed. The algorithm transforms the BPEL engine placing model into some optimization model in mathematics, and the optimization problem is solved by K-means algorithm. How to apply the algorithm in dif-ferent network topologies was also discussed, such as random graph and tree network. In the end, statistical software R was used as experiment tool to evaluate the algorithm. Results show that the proposed method can provide a more opti-mized bandwidth usage of combined BPEL service execution.
ISSN:1000-436X