Abstract
Production Grids are becoming widely utilized by the e-Science community to run computation and data intensive experiments more efficiently. Unfortunately, different production Grid infrastructures are based on different middleware technologies, both for computation and for data access. Although there is significant effort from the Grid community to standardize the underlying middleware, solutions that allow existing non-standard tools to interoperate are one of the major concerns of Grid users today. This paper describes the generic requirements towards the interoperation of Grid data resources within computational workflows, and suggests integration techniques that allow workflow engines to access various heterogeneous data resources during workflow execution. Reference implementations of these techniques are presented and recommendations on their applicability and suitability are made.
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