Toward Risk Reduction for Mobile Service Composition
Toward Risk Reduction for Mobile Service Composition
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DOI：
10.1109/tcyb.2015.2446443
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发表时间：
2016-08
影响因子：
11.8
通讯作者：
Shuiguang Deng;Longtao Huang;Ying Li;Honggeng Zhou;Zhaohui Wu;Xiongfei Cao;M. Kataev;L. Li
中科院分区：
文献类型：
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作者：
Shuiguang Deng;Longtao Huang;Ying Li;Honggeng Zhou;Zhaohui Wu;Xiongfei Cao;M. Kataev;L. Li
移动技术的进步使我们能够随时随地通过强大的移动设备消费甚至提供服务。在有限范围内的移动设备上运行的服务可以通过无线通信技术组合在一起进行协调，并执行复杂的任务。然而，在移动环境中，用户和设备的移动性给任务的执行带来了很高的风险。本文的目标是在考虑了服务请求者和提供者的移动性之后，通过构建可靠的服务组合来降低这种风险。首先提出了风险模型，明确了移动业务构成的风险；然后通过对模拟退火算法的改进，提出了一种服务组合方法。我们的目标是通过在移动性模型下选择移动服务形成一个服务组合，并确保该服务组合具有最佳的服务质量和最低的风险。实验结果表明，我们的方法可以产生接近最优的解决方案，并且相对于问题大小具有接近线性的复杂性。
The advances in mobile technologies enable us to consume or even provide services through powerful mobile devices anytime and anywhere. Services running on mobile devices within limited range can be composed to coordinate together through wireless communication technologies and perform complex tasks. However, the mobility of users and devices in mobile environment imposes high risk on the execution of the tasks. This paper targets reducing this risk by constructing a dependable service composition after considering the mobility of both service requesters and providers. It first proposes a risk model and clarifies the risk of mobile service composition; and then proposes a service composition approach by modifying the simulated annealing algorithm. Our objective is to form a service composition by selecting mobile services under the mobility model and to ensure the service composition have the best quality of service and the lowest risk. The experimental results demonstrate that our approach can yield near-optimal solutions and has a nearly linear complexity with respect to a problem size.