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* Corresponding author 1 TRISKELL - Reliable and efficient component based software engineering IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique 2 DISI - Dipartimento di Ingegneria e Scienza dell-Informazione

Abstract : Scientists working in the area of distributed function optimization have to deal with a huge variety of optimization techniques and algorithms. Most of the existing research in this domain makes use of tightly-coupled systems that either have strict synchronization requirements or completely rely on a central server, which coordinates the work of clients and acts as a state repository. Quite recently, the possibility to perform such optimization tasks in a P2P decentralized network of solvers has been investigated and explored, leading to promising results. In order to improve and ease this newly addressed research area, we designed and developed p2poem P2P Optimization Epidemic Middleware, that aims at bridging the gap between the issues related to the design and deployment of large-scale P2P systems and the need to easily deploy and execute optimization tasks in such a distributed environment.

Keywords : P2P distributed computing Distributed function optimization P2P application

Autor: Marco Biazzini - Alberto Montresor -

Fuente: https://hal.archives-ouvertes.fr/


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