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Optimizing decentralized grid markets through group selection

Chao, Isaac, Ardaiz, Oscar, Sangüesa, Ramon, Joita, Liviu and Rana, Omer Farooq 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

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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)
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: 04 Jun 2017 03:33
URI: http://orca.cf.ac.uk/id/eprint/22774

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