Fault detection service architecture for grid computing systems Abawajy, Jemal 2004, Fault detection service architecture for grid computing systems, Lecture notes in computer science, vol. 3044, pp. 107-115. Attached Files Name Description MIMEType Size Downloads Title Fault detection service architecture for grid computing systems Author(s) Abawajy, Jemal orcid.org/0000-0001-8962-1222 Journal name Lecture notes in computer science Volume number 3044 Start page 107 End page 115 Publisher Springer-Verlag Place of publication Berlin, Germany Publication date 2004 ISSN 0302-9743 1611-3349 Keyword(s) fault-tolerance grid computing fault-detection grid scheduler reconfigurable infrastructure Summary The ability to tolerate failures while effectively exploiting the grid computing resources in an scalable and transparent manner must be an integral part of grid computing infrastructure. Hence, fault-detection service is a necessary prerequisite to fault tolerance and fault recovery in grid computing. To this end, we present an scalable fault detection service architecture. The proposed fault-detection system provides services that monitors user applications, grid middlewares and the dynamically changing state of a collection of distributed resources. It reports summaries of this information to the appropriate agents on demand or instantaneously in the event of failures. Language eng Field of Research 080307 Operating Systems Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2004, Springer-Verlag Persistent URL http://hdl.handle.net/10536/DRO/DU:30002371 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment 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 Thu, 01 Aug 2013, 11:14:05 EST Fri, 13 Jun 2014, 22:11:14 EST Sat, 13 Jan 2018, 01:37:24 EST Tue, 23 Jan 2018, 09:35:30 EST Filtered Full Citation counts:   Cited 11 times in TR Web of Science Cited 12 times in Scopus Search Google Scholar Access Statistics: 1000 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 08:22:53 EST

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