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Performance evaluation of a grid resource monitoring and discovery service
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Lim Choi Keung, Hélène Niuklan, Dyson, J. R. D., Jarvis, Stephen A. and Nudd, G. R. (2003) Performance evaluation of a grid resource monitoring and discovery service. IEE Proceedings - Software, Volume 150 (Number 4). pp. 243-251. doi:10.1049/ip-sen:20030809 ISSN 1462-5970.
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Official URL: http://dx.doi.org/10.1049/ip-sen:20030809
Abstract
The Grid Information Service (GIS) is one of the Grid Common Services which make up the basic functions belonging to Grids. This service offers a resource discovery mechanism, of which an implementation is provided by the Monitoring and Discovery Service (MDS- 2) which is part of the Globus Toolkit. Grid applications are typically the users of this resource discovery mechanism; knowledge is thus obtained about the existence of appropriate resources on which to execute jobs. Since these Grid applications are likely to be influenced by dynamic middleware, it is crucial that they experience a reliable performance for the proper utilisation of resources and for accountability purposes. Consequently, the approach taken in this paper is to investigate and evaluate a level of performance obtainable from the MDS. A better understanding of the performance of the GRIS (Grid Resource Information Service) and subsequently the GIIS (Grid Index Information Service), leads to a more standard way of formalising the performance of a Grid Information Service. This is achieved by defining a number of performance metrics which are analysed against a set of different information gathering methods and GRIS back-end implementations.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Computational grids (Computer Systems), Information storage and retrieval systems, Software measurement, Resource allocation | ||||||
| Journal or Publication Title: | IEE Proceedings - Software | ||||||
| Publisher: | The Institution of Engineering and Technology | ||||||
| ISSN: | 1462-5970 | ||||||
| Official Date: | August 2003 | ||||||
| Dates: |
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| Volume: | Volume 150 | ||||||
| Number: | Number 4 | ||||||
| Page Range: | pp. 243-251 | ||||||
| DOI: | 10.1049/ip-sen:20030809 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 27 December 2015 | ||||||
| Date of first compliant Open Access: | 27 December 2015 | ||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), United States. National Aeronautics and Space Administration (NASA) | ||||||
| Grant number: | GR/S03058/01 (EPSRC), GR/R47424/01 (EPSRC), N68171-01-C-9012 (USARDSG) |
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