While workflow is playing an increasingly important role in eScience, current systems lack support for the collection of provenance data. We argue that workflow provenance data should be automatically generated by the enactment engine and managed over time by an underlying storage service. We briefly describe our layered model for workflow execution provenance, which allows navigation from the ...

Our ideas move essentially from two main thoughtfulness: from one side there are the lacks characterising the existing software platforms for supporting traditional and distance learning processes and, from the other side there is the continuous achievement of GRID technologies as a solution for truly implementation of e-science infrastructure. The main drawbacks of current distance learning so...

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This paper explores the role of communication and collaboration within the GRID. We discuss how a new generation of communications applications are becoming more resource hungry. We propose a platform for communication and collaboration applications that could itself be built on the GRID fabric. We discuss briefly the attributes of such a platform.

When data is maintained over geographically distributed sites the computational power of distributed and parallel systems can be exploited for knowledge discovery in scientific data. In this scenario the Grid can provide an effective computational support for distributed knowledge discovery on large datasets. In particular, Grid services for data integration and analysis can represent a primary...