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Shanghai
Sept. 21, 2005 to Sept. 23, 2005
ISBN: 0-7695-2432-X
pp: 339-345
Zhiming Zhao , Informatics Institute, University of Amsterdam
Adam Belloum , Informatics Institute, University of Amsterdam
Hakan Yakali , Informatics Institute, University of Amsterdam
Peter Sloot , Informatics Institute, University of Amsterdam
Bob Hertzberger , Informatics Institute, University of Amsterdam
ABSTRACT
<p>In a Problem Solving Environment (PSE), a scientific workflow management system (SWMS) provides a meta environment for managing activities and data in scientific experiments, for prototyping experimental computing systems and for orchestrating the runtime system behaviour. A Grid infrastructure makes data and computing intensive experiments feasible in PSEs but also requires the management of workflow to support dynamics of the flow execution. A dynamic SWMS includes a human user in the runtime loop of a flow execution, and allows an engine to flexibly orchestrate a workflow according to the human decision and the runtime states of the environment. In this paper, we present our research in an ongoing project: Virtual Laboratory for e-Science (VL-e). An agent based solution is proposed to enhance an existing Grid enabled Problem Solving Environment framework called VLAM-G. The intelligence for problem solving strategies and for workflow orchestration is encapsulated as knowledge in two types of agents: study managers and scenario conductors.</p>
INDEX TERMS
Grid, Problem Solving Environment, Scientific Work.ow, Multi Agent Systems, Petri net.
CITATION
Zhiming Zhao, Adam Belloum, Hakan Yakali, Peter Sloot, Bob Hertzberger, "Dynamic Work.ow in a Grid Enabled Problem Solving Environment", CIT, 2005, The Fifth International Conference on Computer and Information Technology CIT 2005, The Fifth International Conference on Computer and Information Technology CIT 2005 2005, pp. 339-345, doi:10.1109/CIT.2005.101
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