A Semantic-Aware Approach for Automatic Cloud Services Composition

Service composition is considered as a promising approach to generate composite services for satisfying services Consumers needs using their preferences. Literature review shows that previous studies ignored issues that affect Service composition such as increasing composition time and no ranking for produced composite services. To address these issues, we propose a semantic-aware approach for automatic cloud services composition. Firstly, a semantic network of service is built using an efficient input-output matching algorithm. Secondly, a Forward-Chaining based algorithm is adopted to create composite services, according to the request of the Cloud Service Consumer. Thirdly, a hybrid ranking method based on similarity quality and QoS Criteria is implemented to select the most suitable composite service. The results of experiments provide evidence that our approach can effectively produce composite services for service consumers request, and show benefits of consuming less composition time comparing to similar composition algorithms.