| 基于 K-means 的云化分布式 BPEL 引擎放置机制 |
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| 引用本文： | 林荣恒,吴步丹,赵 耀,杨放春.基于 K-means 的云化分布式 BPEL 引擎放置机制[J].通信学报,2014,35(5):7-56. |
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| 作者姓名： | 林荣恒 吴步丹 赵 耀 杨放春 |
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| 作者单位： | 北京邮电大学 网络与交换技术国家重点实验室，北京100876 |
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| 基金项目： | 国家高技术研究发展计划（“863”计划）基金资助项目(2011AA01A102)；国家自然科学基金资助项目(61003067) |
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| 摘 要： | 针对分布式BPEL引擎在云中的放置问题开展研究，提出了一种基于K-means的分布式BPEL引擎放置机制，该机制将BPEL引擎放置问题模型化为相关最优化数学模型，并且将该模型映射到K-means算法进行求解。该机制还讨论了算法在不同网络拓扑随机图、树形网络拓扑的应用。最后利用统计软件R进行了相关实验仿真，仿真结果显示该放置机制可优化服务调用所占用的带宽资源。
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| 关 键 词： | BPEL 服务引擎 K-means 分布式计算 云计算 |
| 收稿时间： | 9/5/2013 12:00:00 AM |
Approach for distributed BPEL engine placement using K-means |
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| Rong-heng LIN,Bu-dan WU,Yao ZHAO,Fang-chun YANG.Approach for distributed BPEL engine placement using K-means[J].Journal on Communications,2014,35(5):7-56. |
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| Authors: | Rong-heng LIN Bu-dan WU Yao ZHAO Fang-chun YANG |
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| Affiliation: | State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | Aiming to solve the distributed BPEL engine placing problem in cloud, a K-means based distributed BPEL engine 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 different 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 optimized bandwidth usage of combined BPEL service execution. |
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| Keywords: | BPEL service engine K-means distributed computing cloud computing |
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