The Grid-based Virtual Laboratory AMsterdam (VLAM-G), provides a science portal for distributed analysis in applied scientific research. It offers scientists remote experiment control, data management facilities and access to distributed resources by providing cross-institutional integration of information and resources in a familiar environment. The main goal is to provide a unique integration of existing standards and software packages. This paper describes the design and prototype implementation of the VLAM-G platform. In this testbed we applied several recent technologies such as the Globus toolkit, enhanced federated database systems, and visualization and simulation techniques. Several domain specific case studies are described in some detail. Information management will be discussed separately in a forthcoming paper.
Large scale scientific applications are frequently modeled as a workflow that is executed under the control of a workflow management system. One crucial requirement is the validation of the generated results, e.g. the traceability of the experiment execution path. The automated tracking and storage of provenance information during workflow execution could satisfy this requirement.. To collect provenance data using the grid-enabled scientific workflow management system WS-VLAM, experimentations were made with two different implementations of the provenance concepts. The first one, adopts the Open Provenance Model (OPM) using the Provenance Layer Infrastructure for e-Science Resources (PLIER). The second one is the history-tracing XML (HisT). This paper describes how these two provenance models are integrated into WS-VLAM.
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