Dependency of network structures in agent selection and deployment

Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Shin Ya Sato, Osamu Akashi, Toshiharu Sugawara

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper shows that the statistical properties of the network topology are indispensable information for improving performance of multi-agent systems (MASs), though they have not received much attention in previous MAS research. In particular we focus on the applicability of the degree of an agent-the number of links among neighboring agentsto load-balancing for the agent selection and deployment problem. The proposed selection algorithm does not need global information about the network structure and only requires the degree of a server agent and the degrees of the nodes neighboring the server agent. Through simulation of several topologies reproduced by the theoretical network models, we show that the use of the local topological information significantly improves the fairness of the servers even for a large-scale network. We also find that the key mechanisms for load-balancing in a given network topology are highly asymmetric degree characteristics (scalefree) and the negative degree correlation.

本文言語English
ホスト出版物のタイトルProceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06
出版社IEEE Computer Society
ページ37-44
ページ数8
ISBN(印刷版)9780769527482
DOI
出版ステータスPublished - 2006
外部発表はい
イベント2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'06 - Hong Kong, China
継続期間: 2006 12 182006 12 22

出版物シリーズ

名前Proceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06

Other

Other2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'06
国/地域China
CityHong Kong
Period06/12/1806/12/22

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ソフトウェア

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