BIO-INSPIRED DATA PLACEMENT IN PEER-TO-PEER NETWORKS - Benefits of using Multi-agents Systems

Hugo Pommier, Benoît Romito, François Bourdon

2010

Abstract

In this paper we present the benefits of using a multi-agents system to manage the data placement in a decentralized storage application. In our model, after a fragmentation step, each piece of data is associated to a mobile agent making its own decisions. To manage agents placement, we apply flocking rules in a peer-to-peer network called SCAMP. Each agent follows simple rules and the emerging behavior is a flock of fragments. To provide an efficient load-balancing, agents drop pheromones among network peers. We made some experiments to measure the cohesion degree of our flock and to measure the network coverage of a flock. We also discuss about availability and reliability of our approach.

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Paper Citation


in Harvard Style

Pommier H., Romito B. and Bourdon F. (2010). BIO-INSPIRED DATA PLACEMENT IN PEER-TO-PEER NETWORKS - Benefits of using Multi-agents Systems . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 319-324. DOI: 10.5220/0002854703190324

in Bibtex Style

@conference{webist10,
author={Hugo Pommier and Benoît Romito and François Bourdon},
title={BIO-INSPIRED DATA PLACEMENT IN PEER-TO-PEER NETWORKS - Benefits of using Multi-agents Systems},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={319-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002854703190324},
isbn={978-989-674-025-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - BIO-INSPIRED DATA PLACEMENT IN PEER-TO-PEER NETWORKS - Benefits of using Multi-agents Systems
SN - 978-989-674-025-2
AU - Pommier H.
AU - Romito B.
AU - Bourdon F.
PY - 2010
SP - 319
EP - 324
DO - 10.5220/0002854703190324