Providing scalability for an automated web service composition framework

Abstract

This paper describes an automatic web service composition and execution system which provides a practical significance with its scalability, i.e. the ability to operate on large service sets in reasonable time. In addition, the service storage mechanism utilized in this system presents an effective method to maintain large service sets. Our system implements some pre-processing to extract information from service descriptions. This information is then used to filter potentially useful services for a composition problem. Only filtered services are used during the AI planning phase which actually generates the composition and execution of web services. © 2011 Springer Science+Business Media B.V.