Dynamic workflow in a grid enabled problem solving environment
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 make...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/96178 http://hdl.handle.net/10220/10155 http://www.computer.org/csdl/proceedings/cit/2005/2432/00/24320339-abs.html |
| _version_ | 1811689307552874496 |
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| author | Zhao, Zhiming Belloum, Adam Yakali, Hakan Hertzberger, Bob Sloot, Peter M. A. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Zhao, Zhiming Belloum, Adam Yakali, Hakan Hertzberger, Bob Sloot, Peter M. A. |
| author_sort | Zhao, Zhiming |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:46:01Z |
| format | Conference Paper |
| id | ntu-10356/96178 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:46:01Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/961782020-05-28T07:17:34Z Dynamic workflow in a grid enabled problem solving environment Zhao, Zhiming Belloum, Adam Yakali, Hakan Hertzberger, Bob Sloot, Peter M. A. School of Computer Engineering International Conference on Computer and Information Technology (5th : 2005 : Shanghai, China) 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. 2013-06-11T02:41:07Z 2019-12-06T19:26:38Z 2013-06-11T02:41:07Z 2019-12-06T19:26:38Z 2005 2005 Conference Paper 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. https://hdl.handle.net/10356/96178 http://hdl.handle.net/10220/10155 http://www.computer.org/csdl/proceedings/cit/2005/2432/00/24320339-abs.html en © 2005 IEEE. |
| spellingShingle | Zhao, Zhiming Belloum, Adam Yakali, Hakan Hertzberger, Bob Sloot, Peter M. A. Dynamic workflow in a grid enabled problem solving environment |
| title | Dynamic workflow in a grid enabled problem solving environment |
| title_full | Dynamic workflow in a grid enabled problem solving environment |
| title_fullStr | Dynamic workflow in a grid enabled problem solving environment |
| title_full_unstemmed | Dynamic workflow in a grid enabled problem solving environment |
| title_short | Dynamic workflow in a grid enabled problem solving environment |
| title_sort | dynamic workflow in a grid enabled problem solving environment |
| url | https://hdl.handle.net/10356/96178 http://hdl.handle.net/10220/10155 http://www.computer.org/csdl/proceedings/cit/2005/2432/00/24320339-abs.html |
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