Deakin home > Deakin University Library > Deakin Research Online > Robust parallel job scheduling infrastructure for service-oriented grid computing systems

Robust parallel job scheduling infrastructure for service-oriented grid computing systems

Abawajy, Jemal 2005, Robust parallel job scheduling infrastructure for service-oriented grid computing systems, Lecture notes in computer science, vol. 3483, pp. 1272-1281.

Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title Robust parallel job scheduling infrastructure for service-oriented grid computing systems
Author(s) Abawajy, Jemal
Journal name Lecture notes in computer science
Volume number 3483
Start page 1272
End page 1281
Publisher Springer-Verlag
Place of publication Berlin, Germany
Publication date 2005
ISSN 1611-3349
0302-9743
Keyword(s) computer science
Summary Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.
Language eng
Field of Research 080503 Networking and Communications
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2005, Springer-Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30003061

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 2 times in Scopus
Access Statistics: 383 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 08:42:14 EST