Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96178
Title: Dynamic workflow in a grid enabled problem solving environment
Authors: Zhao, Zhiming
Belloum, Adam
Yakali, Hakan
Hertzberger, Bob
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
http://hdl.handle.net/10220/10155
Rights: © 2005 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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