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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.007/ |
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| _version_ | 1841539722653990912 |
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| author | Rong-heng LIN Bu-dan WU Yao ZHAO Fang-chun YANG |
| author_facet | Rong-heng LIN Bu-dan WU Yao ZHAO Fang-chun YANG |
| author_sort | Rong-heng LIN |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-418d906752bd49d78e086c1329f49235 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-418d906752bd49d78e086c1329f492352025-01-14T06:43:19ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-05-0135495659681414Approach for distributed BPEL engine placement using K-meansRong-heng LINBu-dan WUYao ZHAOFang-chun YANGAiming 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.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.007/BPELservice engineK-meansdistributed computingcloud computing |
| spellingShingle | Rong-heng LIN Bu-dan WU Yao ZHAO Fang-chun YANG Approach for distributed BPEL engine placement using K-means Tongxin xuebao BPEL service engine K-means distributed computing cloud computing |
| title | Approach for distributed BPEL engine placement using K-means |
| title_full | Approach for distributed BPEL engine placement using K-means |
| title_fullStr | Approach for distributed BPEL engine placement using K-means |
| title_full_unstemmed | Approach for distributed BPEL engine placement using K-means |
| title_short | Approach for distributed BPEL engine placement using K-means |
| title_sort | approach for distributed bpel engine placement using k means |
| topic | BPEL service engine K-means distributed computing cloud computing |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.007/ |
| work_keys_str_mv | AT ronghenglin approachfordistributedbpelengineplacementusingkmeans AT budanwu approachfordistributedbpelengineplacementusingkmeans AT yaozhao approachfordistributedbpelengineplacementusingkmeans AT fangchunyang approachfordistributedbpelengineplacementusingkmeans |