Context-aware for service composition optimization in cloud computing

Web services nowadays are much more available with several implementations and purposes in the Cloud. These Web services could do the same tasks but may differ in quality of service. Furthermore, some of these Web services are not always relevant to use in some contexts. Providers are likely interested to offer more complex Web services through combining raw Web services from the Cloud to improve services and benefits. Therefore, a significant research problem is how to select the best candidate service from a collection of services and to take into account the respect of service level agreement made by the customer and the provider. On the other hand, ensuring the relevance of the Web services for users is very important. In our paper, we propose a composition model architecture based on Cloud SaaS that takes not only the QoS of service, but also Cloud computing and context-awareness aspect of the composition into consideration. Tests and simulations are made to prove the solution effectiveness. © Springer International Publishing AG 2018.