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Local grid scheduling techniques using performance prediction

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UNSPECIFIED (2003) Local grid scheduling techniques using performance prediction. In: 18th United Kingdom Performance Engineering Workshop (UKPEW), GLASGOW UNIV, GLASGOW, SCOTLAND, JUL 10-11, 2002. Published in: IEE PROCEEDINGS-COMPUTERS AND DIGITAL TECHNIQUES, 150 (2). pp. 87-96.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1049/ip-cdt:20030280

Abstract

The use of computational grids to provide an integrated computer platform, composed of differentiated and distributed systems, presents fundamental resource and workload management questions. Key services such as resource discovery, monitoring and scheduling are inherently more complicated in a grid environment Where the resource pool is large, dynamic and architecturally diverse. The authors approach the problem of grid workload management through the development of a multi-tiered scheduling architecture (TITAN) that employs a performance prediction system (PACE) and task distribution brokers to meet user-defined deadlines and improve resource usage efficiency. Attention is focused on the lowest tier which is responsible for local scheduling. By coupling application performance data with scheduling heuristics, the architecture is able to balance the processes of minimising run-to-completion time and processor idle time, whilst adhering to service deadlines on a per-task basis.

Item Type: Conference Item (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Journal or Publication Title: IEE PROCEEDINGS-COMPUTERS AND DIGITAL TECHNIQUES
Publisher: IEE-INST ELEC ENG
ISSN: 1350-2387
Date: March 2003
Volume: 150
Number: 2
Number of Pages: 10
Page Range: pp. 87-96
Identification Number: 10.1049/ip-cdt:20030280
Publication Status: Published
Title of Event: 18th United Kingdom Performance Engineering Workshop (UKPEW)
Location of Event: GLASGOW UNIV, GLASGOW, SCOTLAND
Date(s) of Event: JUL 10-11, 2002
URI: http://wrap.warwick.ac.uk/id/eprint/9770

Data sourced from Thomson Reuters' Web of Knowledge

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