Dynamic handling for cooperating scientific web services

Many e-Science applications are increasingly relying on orchestrating workflows of static web services. The static nature of these web services means that workflow managment systems have no control over the underlying mechanics of such services. This lack of control manifests itself as a problem as optimization techniques such as data-locality aware deployment and clustering cooperating services are very difficult, if not impossible, to achieve. In this paper propose a non-intrusive approach for mobilizing scientific web services onto common distributed resources and as such enable back-to-back communication between cooperating web services, fuzzy controlled autonomous scaling and autonomous web service workflow orchestration.