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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Izumi, T., Masuzawa, T. (2006). An Interest-Based Peer Clustering Algorithm Using Ant Paradigm. In: Ijspeert, A.J., Masuzawa, T., Kusumoto, S. (eds) Biologically Inspired Approaches to Advanced Information Technology. BioADIT 2006. Lecture Notes in Computer Science, vol 3853. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11613022_33
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DOI: https://doi.org/10.1007/11613022_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31253-6
Online ISBN: 978-3-540-32438-6
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