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 management systems have no control over the underlying mechanics of such services. This lack of control manifests itself as a problem when optimizing workflow execution since techniques such as data-locality aware deployment and service-to-service communication are very difficult to achieve. In this paper we propose a novel approach for mobilizing scientific web services onto common distributed resources and as such enable back-to-back communication between cooperating web services, autonomous web service scaling through fuzzy control and autonomous web service workflow orchestration.