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为了实现自适应和高效的Web服务组合,提出了一种面向任务的服务发现算法.将传统的服务组合过程划分为语义上的发现和功能上的匹配,并将任务作为操作对象,利用语义相似度从候选服务中寻找与给定任务相匹配的服务,并生成对应的TWC图,同时针对新服务设计更新算法.将该方法应用到服务组合模型中,搜索TWC图以得到一条最优的路径作为服务组合结果输出,并能在服务失效时做出实时的更新以完成服务请求.实验结果证明了算法的可行性和有效性,也表明当最大搜索半径取2时,服务数量和质量之间可达到平衡.
In order to achieve adaptive and efficient Web service composition, a task-oriented service discovery algorithm is proposed. The traditional service composition process is divided into semantic discovery and functional matching, and the task is taken as the operation object, and the semantic similarity Degree from the candidate service to find the service that matches the given task and generate the corresponding TWC map, at the same time, design the update algorithm for the new service.Application of this method to the service composition model, search TWC map to get an optimal path As a result of the service portfolio output, and can make real-time updates in the event of service failure to complete the service request.Experimental results show the feasibility and effectiveness of the algorithm, also shows that when the maximum search radius of 2, between the number of services and quality Balance can be achieved.