Dynamic discovery of available resources in a computational grid

Curran, Kevin, Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132 and Bradley, Alan (2005) Dynamic discovery of available resources in a computational grid. Journal of Computer Science and Technology, 5 (1). pp. 12-18. ISSN 1000-9000

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Abstract

Corporations such as Boeing are currenlly using computational GRIDs to improve their operations. Future GRIDs will allow an organisation to take advantage of computational GRIDs without having to develop a custom in-house solution. GRID ReMsource Providers (GRP) make resources available on the GRID so that others may subSLTibe and use these resources. GRPs w"Ill allow companies to make use of a range of resources such as processing power or mass storage. However simply providing resources is not enough to ensure the success of a computational GRID. Access to these resources must be controlled otherwise computational GRIDs will simply evolve to become a victim of their own success, unable to offer a suitable Quality of Service (QoS) to any user. The task of providing a standard querying mechanism for Computational GRID Environments (CGE) has already witnessed considerable work from groups such as the Globus project who have delivered the Metacomputing Directory Service (MDS) which provides a means to query devices attached to The GRID. We present a monitoring component both capable of the dynamic discovery of available resources in a computing GRID environmemt and executing user jobs on the available resource at a given moment in time. We show that it is possible to construct a monitor based on the CoG toolkit and MDS to monitor the available resources attached to a CGE.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Smart Emerging Technologies
Related URLs:	https://journal.info.unlp.edu.ar/JCST/ar...
Depositing User:	Pure Connector
Date Deposited:	17 Nov 2016 11:00
Last Modified:	11 Sep 2023 15:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/61404
DOI:

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