UNSPECIFIED. (2005) Performance-based middleware for Grid computing. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 17 (2-4). pp. 215-234. ISSN 1532-0626

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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. Copyright (C) 2005 John Wiley Sons, Ltd.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Journal or Publication Title:	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Publisher:	JOHN WILEY & SONS LTD
ISSN:	1532-0626
Date:	February 2005
Volume:	17
Number:	2-4
Number of Pages:	20
Page Range:	pp. 215-234
Identification Number:	10.1002/cpe.925
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/7334

Data sourced from Thomson Reuters' Web of Knowledge

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