Job scheduling policy for high throughput grid computing Abawajy, Jemal 2005, Job scheduling policy for high throughput grid computing, Lecture notes in computer science, vol. LNCS 3719, pp. 184-192. Attached Files Name Description MIMEType Size Downloads Title Job scheduling policy for high throughput grid computing Author(s) Abawajy, Jemal Journal name Lecture notes in computer science Volume number LNCS 3719 Start page 184 End page 192 Publisher Springer-Verlag Place of publication Berlin, Germany Publication date 2005 ISSN 1611-3349 0302-9743 Keyword(s) grid computing high throughput computing resource management job scheduling opportunistic scheduling Summary The growing computational power requirements of grand challenge applications has promoted the need for merging high throughput computing and grid computing principles to harness computational resources distributed across multiple organisations. This paper identifies the issues in resource management and scheduling in the emerging high throughput grid computing context. We also survey and study the performance of several space-sharing and time-sharing opportunistic scheduling policies that have been developed for high throughput computing. Language eng Field of Research 080501 Distributed and Grid Systems Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2005, Springer-Verlag Persistent URL http://hdl.handle.net/10536/DRO/DU:30003059 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 03 Feb 2009, 13:23:07 EST Thu, 02 Feb 2012, 13:10:06 EST Thu, 01 Aug 2013, 14:15:48 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 541 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 08:42:11 EST

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