Optimising decentralised grid markets through group selection

Autor:	Isaac Chao, Ramon Sangüesa, Omer Rana, Oscar Ardaiz, Liviu Joita
Rok vydání:	2008
Předmět:	Service (systems architecture) Operations research Market segmentation Computer Networks and Communications Computer science Process (engineering) Distributed computing Scalability Information system Adaptation (computer science) Grid Software System model
Zdroj:	International Journal of Web and Grid Services. 4:357
ISSN:	1741-1114 1741-1106
DOI:	10.1504/ijwgs.2008.022541
Popis:	Automatic coordination mechanisms for the grid are required due to the increasing complexity that is exhibited in large-scale distributed systems. Decentralised economic models are being considered as scalable coordination mechanisms for the management of service allocations to clients. However, decentralisation 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-organised, emergent mechanism that evolves grid market participants through a group selection process. Dynamic congregations organise agents into optimised market segments, maximising utility and thereby improving system-wide performance. We provide a system model and evaluation by simulating the group selection mechanism. We further provide a prototype that shows the practical feasibility of the approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ce4af662fa9daa58e9f4da1e3de6d747 https://doi.org/10.1504/ijwgs.2008.022541 Zobrazit plný text záznamu