Job Interactivity Using a Steering Service in an Interactive Grid Analysis Environment

Arshad Ali, Ashiq Anjum, Julian Bunn, Richard Cavanaugh, Frank van Lingen, Richard McClatchey, Harvey Newman, Conrad Steenberg, Michael Thomas, Ian Willers and Muhammad Adeel Zafar (2004) Job Interactivity Using a Steering Service in an Interactive Grid Analysis Environment. In: Computing in High Energy Physics 2004, 2004, Interlaken, Switzerland. [CaltechCACR:2004.208]

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Abstract

Grid computing has been dominated by the execution of batch jobs. Interactive data analysis is a new domain in the area of grid job execution. The Grid-Enabled Analysis Environment (GAE) attempts to address this in HEP grids by the use of a Steering Service. This service will provide physicists with the continuous feedback of their jobs and will provide them with the ability to control and steer the execution of their submitted jobs. It will enable them to move their jobs to different grid nodes when desired. The Steering Service will also act autonomously to make steering decisions on behalf of the user, attempting to optimize the execution of the job. This service will also ensure the optimal consumption of the Grid user's resource quota. The Steering Service will provide a web service interface defined by standard WSDL. In this paper we have discussed how the Steering Service will facilitate interactive remote analysis of data generated in Interactive Grid Analysis Environment.

EPrint Type:	Conference or Workshop Item (Paper)
Subjects:	All Records
ID Code:	53
Deposited By:	Sarah M. Emery
Deposited On:	16 November 2004
Record Number:	CaltechCACR:2004.208
Official Persistent URL:	http://resolver.caltech.edu/CaltechCACR:2004.208
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