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Agent Support for a Grid-Based High Energy Physics Application

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Innovations in Applied Artificial Intelligence (IEA/AIE 2005)

Abstract

This paper presents an agent system ASGARD-0, that provides monitoring for the success or failure of Grid jobs in a High Energy Physics application. This application area is one where use of the Grid is extremely well motivated as processes are both data and computationally intensive. Currently however there is no mechanism for automated monitoring of jobs and physicists must manually check to see whether the job has completed and whether it has done so in a successful manner. ASGARD-0 provides some initial services in this area and is also a proof of concept for a much more ambitious agent support system.

Supported by VPAC Expertise grant EPPNRM121.2004, ARC Linkage grant LP0347025 in collaboration with the Australian Bureau of Meteorology and Agent Oriented Software P/L, ARC Discovery grant DP0346691 in collaboration with the RMIT Spatial Information Architecture Laboratory, and assisted by Tom Gamble.

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© 2005 Springer-Verlag Berlin Heidelberg

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Sahani, A., Mathieson, I., Padgham, L. (2005). Agent Support for a Grid-Based High Energy Physics Application. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_21

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  • DOI: https://doi.org/10.1007/11504894_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26551-1

  • Online ISBN: 978-3-540-31893-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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