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Performance-based middleware for Grid computing
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Nudd, G. R. and Jarvis, Stephen A. (2005) Performance-based middleware for Grid computing. Concurrency and Computation: Practice and Experience, Volume 17 (Number 2-4). pp. 215-234. doi:10.1002/cpe.925 ISSN 1532-0626.
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Official URL: http://dx.doi.org/10.1002/cpe.925
Abstract
This paper describes a stateful service-oriented middleware infrastructure for the management of scientific tasks running on multi-domain heterogeneous distributed architectures. Allocating scientific workload across multiple administrative boundaries is a key issue in Grid computing and as a result a number of supporting services including match-making, scheduling and staging have been developed. Each of these services allows the scientist to utilize the available resources, although a sustainable level of service in such shared environments cannot always be guaranteed. A performance-based middleware infrastructure is described in which prediction data for each scientific task are calculated, stored and published through a Globus-based performance information service. Distributing these data allows additional performance-based middleware services to be built, two of which are described in this paper: an intra-domain predictive co-scheduler and a multi-domain workload steering system. These additional facilities significantly improve the ability of the system to meet task deadlines, as well as enhancing inter-domain load-balancing and system-wide resource utilization.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | Concurrency and Computation: Practice and Experience | ||||
Publisher: | John Wiley & Sons Ltd. | ||||
ISSN: | 1532-0626 | ||||
Official Date: | February 2005 | ||||
Dates: |
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Volume: | Volume 17 | ||||
Number: | Number 2-4 | ||||
Number of Pages: | 20 | ||||
Page Range: | pp. 215-234 | ||||
DOI: | 10.1002/cpe.925 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 4 December 2015 |
Data sourced from Thomson Reuters' Web of Knowledge
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