AN INNOVATIVE FRAMEWORK FOR AUTO DYNAMIC SELECTION AND COMPOSITION OF WEB SERVICES

With the availability of ample amount of Web Services similar in functionality and varying in Quality of Service (QoS) over the web, it is essentially required to get the best-suited candidate services for the resultant composite service. QoS plays a decisive role in selecting web Services individually and Composite Web Service as a whole. Certainly, composition is one of the key properties of service-orientation to create new as well as advanced level services, by re-using the existing ones. In distributed environments, services having no quality guarantees, adversely affects the composition outcome. To find the best candidate services for the composition, researchers have opted either Users’ feedback or Providers’ published information but none of them have considered both of them together. In our approach, we have taken into consideration both the things (Users’ feedback and Providers’ published information) together in order to find the best candidate web services by cross verifying both of the information to ascertain the quality of the candidate web services. An innovative framework for the composition of web services along with the detailed methodology and algorithm has been discussed in the second half of the paper