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|Title:||Dynamic workflow in a grid enabled problem solving environment||Authors:||Zhao, Zhiming
Sloot, Peter M. A.
|Issue Date:||2005||Source:||Zhao, Z., Belloum, A., Yakali, H., Sloot, P., & Hertzberger, B. (2005). Dynamic Workflow in a Grid Enabled Problem Solving Environment. Proceedings of the 2005 The Fifth International Conference on Computer and Information Technology (CIT’05), 339-345.||Abstract:||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.||URI:||https://hdl.handle.net/10356/96178
|Rights:||© 2005 IEEE.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||SCSE Conference Papers|
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