基于服务簇的Web服务绑定方法

A Web Service Binding Method Based on Service Clusters

针对较大粒度服务簇的服务绑定效率优化问题,提出了一种Web服务绑定方法。通过改进服务簇的逻辑Petri网模型,量化服务参数集,缩小相似度计算总量,只需对用户需求参数和服务参数进行运算,计算复杂度为O(km),提高了服务发现效率;给出服务绑定的动态替换方法,匹配服务过程无需查找本体树,能够提高运算效率;解决了网络环境的变化造成的服务响应失效问题,提高服务响应的自适应性。

To raise the efficiency of service binding based on service clusters with large granularity, the new method of service binding was introduced. The logic Petri net （LPN） model of service clusters was improved and the parameter set was quantized to reduce the total times of similarity computing and improve service discovery. The computation complexity is O（krn）. Moreover, service substitution was proposed to solve the problem of service failure without searching concepts from ontology tree. The adaptation of service response is enhanced.