Resource discovery for dynamic clusters in computational grids

Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646, Bunford-Jones, Daniel, Walker, David William ORCID: https://orcid.org/0000-0002-1360-6330, Addis, Matthew, Surridge, Mike and Hawick, Ken 2001. Resource discovery for dynamic clusters in computational grids. Presented at: 15th International Parallel and Distributed Processing Symposium, San Francisco, CA, USA, 23-27 April 2000. Proceedings of the 15th International Parallel and Distributed Processing Symposium. IEEE, pp. 759-767. 10.1109/IPDPS.2001.925030

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Abstract

We describe a de-centralised approach to resource management and discovery, based on a community of interacting software agents. Each agent either represents a user application, a resource, or a MatchMaking service. The proposed approach can support dynamic registration of resources and user tasks, facilitating the establishment of dynamic clusters. Resource capability and task requirements are described using an object based data model, enabling new types of devices or new features in existing devices to be identified. A comparison with the Discovery and LookUp services in Jini and TSpaces is also provided.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	IEEE
ISBN:	0769509908
Related URLs:	Publisher
Last Modified:	18 Oct 2022 13:38
URI:	https://orca.cardiff.ac.uk/id/eprint/14696

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