WS-VLAM: towards a scalable workflow system on the grid
Proceedings of the 2nd workshop on Workflows in support of large-scale science
Autonomic Workflow Management in the Grid
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
An access mechanism for grid GARUDA
IMSAA'09 Proceedings of the 3rd IEEE international conference on Internet multimedia services architecture and applications
Agent technology and generic workflow management in an e-science environment
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
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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.