Chao, Isaac, Ardaiz, Oscar, Sangüesa, Ramon, Joita, Liviu and Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 2008. Optimizing decentralized grid markets through group selection. Presented at: 2nd International Conference on Complex, Intelligent and Software Intensive Systems, Barcelona, Spain, 4-7 March 2008. Published in: Xhafa, F. and Barolli, L. eds. CISIS 2008: the Second International Conference on Complex, Intelligent and Software Intensive Systems : proceedings : 4-7 March 2008, Polytechnic University of Catalonia, Spain. Los Alamitos: Institute of Electrical and Electronics Engineers, pp. 951-956. 10.1109/CISIS.2008.92 |
Abstract
Automatic coordination mechanisms for the grid are required due to the increasing complexity exhibited in large scale distributed systems. Decentralized economic models are being considered as scalable coordination mechanisms for the management of service allocations to clients. However, decentralization incorporates further dynamicity and unpredictability into the system. Introducing higher levels of adaptation and learning in the coordination protocols helps cope with complexity. We provide a solution based on a self-organized, emergent mechanism evolving grid market participants through a group selection process. Dynamic congregations organize agents into optimized market segments, maximizing utility and thereby improving system-wide performance. We provide a system model and evaluation by simulation of the group selection mechanism. We further provide a prototype showing practical feasibility of the approach.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Uncontrolled Keywords: | Grid markets, Group Selection, multiagent systems |
Publisher: | Institute of Electrical and Electronics Engineers |
ISBN: | 9780769531090 |
Last Modified: | 19 Oct 2022 09:57 |
URI: | https://orca.cardiff.ac.uk/id/eprint/22774 |
Citation Data
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