Flexible Model Driven Approach for Quality Aware Web Service Selection

We describe a flexible web service selection model that will rate the web services based on Quality of Service (QoS) constraints. To maintain the QoS factors the non functional requirements (NFR) of a web service such as response time, throughput, reliability and security are crucial during web service selection. The performance depends not only on satisfying functional requirements, but also fulfilling the client‟s NFRs. Since NFR are never completely satisfied and meeting one NFR may lead to inconsistency in another NFR, it is vital to study the NFR, their conflicts and how they influence web service selection process. Our study suggests that the existing methods have not understood the effect of conflicting NFR on QoS values. The proposed method will detect these conflicts using Ontology, Unified Modeling Language (UML) and UML Profile. To explain our idea we consider a remotely monitored patient. The method is expected to greatly reduce the development cost, operational time and provide flexibility for fine tuning.