| 融合网络环境下快速可靠的服务组合容错方法 |
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| 引用本文： | 张俊娜,王尚广,孙其博,杨放春.融合网络环境下快速可靠的服务组合容错方法[J].软件学报,2017,28(4):940-958. |
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| 作者姓名： | 张俊娜 王尚广 孙其博 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,北京邮电大学网络与交换技术国家重点实验室,北京 100876,北京邮电大学网络与交换技术国家重点实验室,北京 100876,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： | 国家自然科学基金(61472047,61202435,61571066) |
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| 摘 要： | 针对传统容错方法在融合网络环境下服务组合的低效性,本文提出了一种快速可靠的服务组合容错方法.该方法首先采用模糊逻辑,对服务的临时性故障进行服务重试;然后采用多属性决策理论,对服务的永久性故障进行服务复制;最后通过改进的粒子群算法,对永久性故障进行服务补偿.基于真实数据集的实验结果表明,所提方法在故障排除率、故障处理时间与组合最优度方面,均优于其它方法.
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| 关 键 词： | 服务组合 容错 服务重试 服务复制 服务补偿 |
| 收稿时间： | 2015/9/1 0:00:00 |
| 修稿时间： | 2015/11/18 0:00:00 |
Fast and Reliable Fault-Tolerance Approach for Service Composition in Integration Networks |
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| ZHANG Jun-N,WANG Shang-Guang,SUN Qi-Bo and YANG Fang-Chun.Fast and Reliable Fault-Tolerance Approach for Service Composition in Integration Networks[J].Journal of Software,2017,28(4):940-958. |
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| Authors: | ZHANG Jun-N WANG Shang-Guang SUN Qi-Bo and YANG Fang-Chun |
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| Affiliation: | State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications), Beijing 100876, China,State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications), Beijing 100876, China,State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications), Beijing 100876, China and State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications), Beijing 100876, China |
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| Abstract: | Traditional fault-tolerance approaches often result in the low efficiency of service composition in integration networks. In this paper, we propose a fast and reliable fault-tolerance approach for service composition in integration networks. This approach firstly adopts fuzzy logic to perform service retry when the transient faults of service occur. And then multi-attribute decision-making theory is employed to carry out service replicate when the permanent faults of service happen. Finally, an improved particle swarm optimization algorithms used to implement service compensation when the permanent faults of service arise. The experimental results base on the real data sets show that the proposed approach is superior to other approaches in terms of fault handling rate, fault handling time, and composition optimization. |
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| Keywords: | service composition fault-tolerant service retry service replication service compensation |
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