A Review on Web Service Composition Using Ant Colony Optimization With Agent Based Approach

The aim of the research work presented in this paper is to develop a system for automatic web service composition with agent based approach to provide QOS aware services to different users according to their requirement. Grid computing is increasingly considered as a promising next-generation computational platform that supports wide-area parallel and distributed computing. In this approach we provide web service composition through workflow model and use new version of ant colony optimization algorithm called multi objective ant colony optimization algorithm (MOACO) that is being used to decompose composite services into parallel execution path. In this we can get services through one or more agents from service composition algorithm according to users requirement. The main advantage is that in this system user only have to give higher level goals and they can get services.