Trustworthy Computing Of Software Based On Semantic Web Service

Trustworthy computing has become a major obstacle to a further development for network softwares like Web Service. However, existing Web services technology lacks effective description language for the trustworthy, making it difficult to express their demands on the trustworthy of the Web Service among the service providers and requesters. In addition, the existing trustworthy computing methods are mainly based on the aggregation of direct interaction experience and third-party recommend experience to measure the credibility of Web services, but there is no effective way to aggregate them well yet. In the same time, it is hard to make real-time changes in response to Web Service’s trustworthiness.This paper designed a trustworthy computing method based on clustering of semantic Web services using collaboration frequency. The main work and achievements are as follows:1. Construct a trustworthy index system and a trustworthy ontology for Semantic Web Services.This paper summed up the trustworthy attributes of the traditional software and did a preliminary study on Web Service’s trustworthy attributes in respect of their own features. An trustworthy index system was constructed for the Semantic Web Services. On this basis, the vocabulary in the field of trustworthy and the relationships between the trustworthy attributes are summarized and constructed a trustworthy ontology.2. Designed a trustworthy computing method based on clustering of semantic Web services using collaboration frequency.This paper presents a trustworthy computing method based on the clustering of Web Services. Web Service groups were divided through clustering. Then group trust of Web Service was count. Finally, by aggregatting the group trust and individual trust of Web Service, we get the integrated trust.3. Designed a semantic Web service trustworthy computing framework SWSTE-CFor trustworthy computing method proposed in this paper, a framework called SWSTE-C was designed. The architecture of this framework was based on the typical tripartite role framework of SOA. Local and global trust manager were added to manage the collaboration and trusts between Web Services, which is used to support the trustworthy computing and real-time response to the changes on Web Service’s trustworthy.