SLA-Based Service Composition Model with Semantic Support

On the cloud computing platform, there are more and more composition of different web services to get an added value. However, because of the ambiguity between different forms of Service Level Agreement (SLA), to get an integrated service quality of several services is a complex task. Based on this fact, a SLA-based Service Composition Model with Semantic Support (SSCMSS) is proposed in this paper. First, a SLA management ontology model is built to provide semantic support. And then the framework composes the SLAs of different services to get an integrated service quality level based on the composition pattern. At last, it automatically searches the integrated SLAs to get the compositions that can match the customer´s request. Moreover, a case study is implemented and the results show that this model is effective and useful in searching the SLA satisfied services.