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为了在移动环境中找到响应时间最短的组合服务,设计了一种可计算的移动模型,根据此模型过滤掉响应时间较长的组合服务,提出了移动组合服务中组件服务的选择方法。通过前馈神经网络建立组合服务与其响应时间之间的回归模型,利用基于神经网络的服务组合(neural network-based service composition, NNSC)算法选择出响应时间最短的组合服务。仿真实验结果表明,与一些启发式算法相比,NNSC算法可以找到响应时间更短的组合服务。
Abstract：In order to find the composite service with the shortest response time in the mobile environment, a computable mobile model was designed. According to this model, the composite services with large response time were filtered out, and the selection method of component services in mobile composite services was proposed.A regression model for composite service and its response time was established by feedforward neural network, and the neural network-based service composition(NNSC) algorithm was used to select the composite service with the shortest response time. Simulation experiments demonstrated that compared with some heuristic algorithms, NNSC algorithm could find composite services with shorter response time.
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基本信息:
DOI：10.13705/j.issn.1671-6841.2020355
中图分类号:TP393.09
引用信息:
[1]李靖,任丽芳,王文剑.一种响应时间感知的移动服务组合方法[J].郑州大学学报(理学版),2021,53(03):30-36.DOI:10.13705/j.issn.1671-6841.2020355.
基金信息:
国家自然科学基金项目(61673249); 山西省国际合作重点研发计划项目(201903D421050); 山西省自然科学基金项目(201901D211175)
2021-02-09
2021-02-09
2021-02-09