Applying autonomic computing concepts to parallel computing using intelligent agentsVarghese, B. and McKee, G. (2009) Applying autonomic computing concepts to parallel computing using intelligent agents. World Academy of Science, Engineering and Technology (55). pp. 366-370. ISSN 1307-6892 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: http://www.waset.org Abstract/SummaryThe work reported in this paper is motivated by the fact that there is a need to apply autonomic computing concepts to parallel computing systems. Advancing on prior work based on intelligent cores [36], a swarm-array computing approach, this paper focuses on ‘Intelligent agents’ another swarm-array computing approach in which the task to be executed on a parallel computing core is considered as a swarm of autonomous agents. A task is carried to a computing core by carrier agents and is seamlessly transferred between cores in the event of a predicted failure, thereby achieving self-ware objectives of autonomic computing. The feasibility of the proposed swarm-array computing approach is validated on a multi-agent simulator.
Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |