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ThinkMind // AP2PS 2010, The Second International Conference on Advances in P2P Systems // View article ap2ps_2010_5_40_30097


Design an Integration of Bee Hive into a Multi-Agent-based Resource Discovery

Authors:
Jun Yamasaki
Yoshikuni Harada
Yasushi Kambayashi

Keywords: multi-agent system; mobile agents; resource discovery; swarm intelligence; honey bee algorithms

Abstract:
One of the most important functions in P2P systems is the location of resources; it is generally hard to achieve due to the intrinsic nature of P2P, i.e., dynamic re-configuration of the network. We have proposed and implemented an efficient resource locating method in a pure P2P system based on a multiple agent system. All the resources as well as resource information are managed by cooperative multiple agents. In order to optimize the behaviors of cooperative multiple agents, we utilized the ant colony optimization (ACO) algorithm that assists mobile agents to migrate toward relatively resource-rich nodes. Even tough the ACO algorithm helped multiple search agents to find desired resources effectively while reducing communication traffic in the network, some research scientists have claimed that non-pheromone-based algorithm, such as honey bee algorithm, is significantly more efficient to find resources. Then efficient migration should be achieved through direct communication between bee agents in the dance floor instead of pheromone-based indirect communications. In this paper, we propose and discuss the possibility of integration of the bee-like agents into our resource discovery method to optimize the behaviors of the mobile multiple agents.

Pages: 112 to 115

Copyright: Copyright (c) IARIA, 2010

Publication date: October 25, 2010

Published in: conference

ISBN: 978-1-61208-102-1

Location: Florence, Italy

Dates: from October 25, 2010 to October 30, 2010

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