基于信誉度的可信服务发现研究

Research on Trusted Service Discovery Based on Reputation Degree

服务发现是Web服务框架中的一个关键部分.探讨了Web服务信任的相关概念,根据信任值的特点建立了基于β概率密度函数的信任模型.将服务发现的过程分成两个阶段进行,性能明显提高.最后,通过比较服务的信誉度来选择合适的服务,能够很好地满足用户的期望.

Services discovery is a key part of Web services framework.This paper studies the concept of trusted Web service at first,and then builds the trusted model based on beta probability density functions according to the features of trust values.The service searching process could be divided into two stages,the performance was improved.At last,by comparing the reputation degree of services to select the appropriate services,it can well meet the user＇s expectation.