Bulk scheduling with the DIANA scheduler

Anjum, A., McClatchey, R., Ali, A. and Willers, I. (2006) Bulk scheduling with the DIANA scheduler. IEEE Transactions on Nuclear Science, 53 (6). pp. 3818-3829. ISSN 0018-9499 Available from: http://eprints.uwe.ac.uk/5928

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Publisher's URL: http://dx.doi.org/10.1109/TNS.2006.886047


This paper describes how network characteristics in addition to data location and availability of computation can be used to optimise the scheduling of large-scale, Grid-resident, scientific analysis jobs. This is particularly of interest to the high energy physics community and the approach has been adopted by several groups of LHC experimenters. In particular the CERN CMS group has worked with UWE in evaluating this research. The approach demonstrated leads to considerable gains in analysis throughput and significant improvements in performance of the scientific analysis pipeline. The work has been reported at GCC 2005 and at the eScience 2006 conference.

Item Type:Article
Uncontrolled Keywords:bulk scheduling, data-intensive and network-aware (DIANA) scheduler, network-aware scheduling decisions, priority-driven multiqueue feedback algorithm
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:5928
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:15 Nov 2016 18:27

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