An interest-based peer clustering algorithm using ant paradigm

Authors:
Taisuke Izumi;Toshimitsu Masuzawa
Affiliations:
Graduate School of Information Science and Technology, Osaka University, Toyonaka, Japan;Graduate School of Information Science and Technology, Osaka University, Toyonaka, Japan
Venue:
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Year:
2006

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Abstract

The interest-based clustering is one of promising approaches to achieve low-cost search in peer-to-peer file sharing. It organizes the logical overlay network where peers having similar interests are closely located. In this paper, we propose an interest-based peer clustering algorithm using ant paradigm. Our algorithm is inspired by the ant-based clustering algorithm, which is one of heuristic methods to categorize many data items. We also evaluate this algorithm by simulations.