Sotiriadis, Stelios and Bessis, N. and Sant, P. and Maple, C. (2010) A mobile agent strategy for grid interoperable virtual organisations. In: 1st International Conference on Collaborative Technologies (ICCT-2010), 26-28 Jul 2010, Freiburg, Germany.
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Abstract
During the last few years much effort has been put into developing grid computing and proposing an open and interoperable framework for grid resources capable of defining a decentralized control setting. Such environments may define new rules and actions relating to internal Virtual Organisation (VO) members and therefore posing new challenges towards to an extended cooperation model of grids. More specifically, VO policies from the viewpoint of internal knowledge and capabilities may be expressed in the form of intelligent agents thus providing a more autonomous solution of inter-communicating members. In this paper we propose an interoperable mobility agent model that performs migration to any interacting VO member and by traveling within each domain allows the discovery of resources dynamically. The originality of our approach is the mobility mechanism based on traveling and migration which stores useful information during the route to each visited individual. The method is considered under the Foundation for Intelligent Physical Agents (FIPA) standard which provides an on demand resource provisioning model for autonomous mobile agents. Finally the decentralization of the proposed model is achieved by providing each member with a public profile of personal information which is available upon request from any interconnected member during the resource discovery process.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Edited by Nik Bessis, Piet Kommers and Pedro Isaías. ISBN (Book): 9789728939212 |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Research Centres and Institutes: | Birkbeck Knowledge Lab |
Depositing User: | Stelios Sotiriadis |
Date Deposited: | 11 Apr 2018 15:02 |
Last Modified: | 09 Aug 2023 12:43 |
URI: | https://eprints.bbk.ac.uk/id/eprint/21892 |
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