Trust Based Recommendation System in Service-oriented Cloud Computing

With the increasing number and types of cloud services, it is difficult for cloud service users to evaluate these cloud services and select them to satisfy their requirements. Hence, appropriate recommendation mechanisms are needed to help them to select the optimal services in the set of cloud services with identical or similar functionality. In this paper, we propose a Trust-based Recommendation System in service-oriented Cloud computing(TRSC). We first present the architecture of TRSC which measures cloud services based on the trust of them. In TRSC, the trust value is the combination of direct trust and recommendation trust. Direct trust of a cloud service user A on a cloud service C is computed basing on the direct interaction of A with C. And the evaluation method for calculating recommendation trust is based on the interaction of cloud service users Bs with C where Bs are users who are trusted by A, correlative with A or authorities of the field. The experimental results showed that the proposed approach can get a better recommendation accuracy than traditional collaborative filtering.