A novel approach to allocating QoS-constrained workflow-based jobs in a multi-cluster grid
File(s) novel-stochastic-scheduling.pdf (160.17 KB)
Accepted version
Author(s)
Patel, Y
Darlington, J
Type
Conference Paper
Abstract
Clusters are increasingly interconnected to form multi-cluster systems, which are becoming popular for scientific computation. Grid users often submit their applications in the form of workflows with certain Quality of Service (QoS) requirements imposed on the workflows. These workflows detail the composition of Grid services and the level of service required from the Grid. This paper addresses workload allocation techniques for Grid workflows. We model a resource within a cluster as a G/G/1 queue and minimise failures (QoS requirement violation) of jobs by solving a mixed-integer non-linear program (MINLP). The novel approach is evaluated through an experimental simulation and the results confirm that the proposed workload allocation strategy not only provides QoS guarantee but also performs considerably better in terms of satisfying QoS requirements of Grid workflows than reservation-based scheduling algorithms.
Date Issued
2006
Citation
ACM International Conference Proceedings, 2006, pp.2-
ISBN
1-59593-581-9
Publisher
ACM
Source Title
MGC: 4th international workshop on Middleware for grid computing
Conference
ACM International Conference Proceedings
Start Page
2
Journal / Book Title
ACM International Conference Proceedings
Copyright Statement
© ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in MGC VOL: 94, (2006) http://doi.acm.org/10.1145/10.1145/1186675.1186678
Source
MGC: 4th international workshop on Middleware for grid computing
Source Place
Melbourne, Australia
Start Date
2006-11-27
Finish Date
2006-12-01
Coverage Spatial
Melbourne, Australia
