He, Ligang, Jarvis, Stephen A., Bacigalupo, David A., Spooner, Daniel P. and Nudd, G. R. (2005) Performance-aware load balancing for multiclusters. In: Cao, J. and Yang, L. T. and Guo, M. and Lau, F., (eds.) Parallel and Distributed Processing and Applications. Lecture Notes in Computer Science , Volume 3358 . Springer Berlin Heidelberg, pp. 635-647. ISBN 9783540241287

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Abstract

In a multicluster architecture, where jobs can be submitted through each constituent cluster, the job arrival rates in individual clusters may he uneven and the load therefore needs to be balanced among clusters. In this paper we investigate load balancing for two types of jobs, namely non-QoS and QoS-demanding jobs and as a result, two performance-specific load balancing strategies (called ORT and OMR) are developed. The ORT strategy is used to obtain the optimised mean response time for non-QoS jobs and the OMR strategy is used to achieve the optimised mean miss rate for QoS-demanding jobs. The ORT and OMR strategies are mathematically modelled combining queuing network theory to establish sets of optimisation equations. Numerical solutions are developed to solve these optimisation equations. and a so called fair workload level is determined for each cluster. When the current workload in a cluster reaches this pre-calculated fair workload level, the jobs subsequently submitted to the cluster are transferred to other clusters for execution. The effectiveness of both strategies is demonstrated through theoretical analysis and experimental verification. The results show that the proposed load balancing mechanisms bring about considerable performance gains for both job types, while the job transfer frequency among clusters is considerably reduced. This has a number of advantages, in particular in the case where scheduling jobs to remote resources involves the transfer of large executable and data files.

Item Type:	Book Item
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Series Name:	Lecture Notes in Computer Science
Publisher:	Springer Berlin Heidelberg
ISBN:	9783540241287
ISSN:	0302-9743
Book Title:	Parallel and Distributed Processing and Applications
Editor:	Cao, J. and Yang, L. T. and Guo, M. and Lau, F.
Official Date:	2005
Dates:	Date Event 2005 Published
Date of first compliant deposit:	28 July 2016
Volume:	Volume 3358
Number of Pages:	13
Page Range:	pp. 635-647
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Title of Event:	2nd International Symposium on Parallel and Distributed Processing and Applications (ISPA 2004)
Location of Event:	Hong Kong, China
Date(s) of Event:	13-15 Dec 2004

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