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With recent increasing computational and data requirements of scientificapplications, the use of large clustered systems as well as distributedresources is inevitable. Although executing large applications in theseenvironments brings increased performance, the automation of the processbecomes more and more challenging. While the use of complex workflow managementsystems has been a viable solution for this automation process in businessoriented environments, the open source engines available for scientificapplications lack some functionalities or are too difficult to use fornon-specialists. In this work we propose an architectural model for a gridbased workflow management platform providing features like an intuitive way todescribe workflows, efficient data handling mechanisms and flexible faulttolerance support. Our integrated solution introduces a workflow enginecomponent based on ActiveBPEL extended with additional functionalities and ascheduling component providing efficient mapping between tasks and availableresources.

An Architectural Model for a Grid based Workflow Management Platform in Scientific Applications