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Published Articles >> Table of Contents >> Abstract
20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06)
pp. 993-998
Peer-to-Peer Usage Analysis: a Distributed Mining Approach
Florent Masseglia, INRIA Sophia Antipolis, Axis Project-Team, France
Pascal Poncelet, EMA-LGI2P/Site EERIE, Cedex 1, France
Maguelonne Teisseire, LIRMM UMR CNRS 5506, Cedex 5, France
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2006.262
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| Abstract |
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With the huge number of information sources available
on the Internet, Peer-to-Peer (P2P) systems offer a novel
kind of system architecture providing the large-scale community
with applications for file sharing, distributed file
systems, distributed computing, messaging and real-time
communication. P2P applications also provide a good infrastructure
for data and compute intensive operations such
as data mining. In this paper we propose a new approach
for improving resource searching in a dynamic and distributed
database such as an unstructured P2P system. This
approach takes advantage of data mining techniques. By
using a genetic-inspired algorithm, we propose to extract
patterns or relationships occurring in a large number of
nodes. Such a knowledge is very useful for proposing the
user with often downloaded or requested files according to
a majority of behaviors. It may also be useful in order to
avoid extra bandwidth consumption.
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 Additional Information
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Citation:
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire,
"Peer-to-Peer Usage Analysis: a Distributed Mining Approach,"
aina,
pp. 993-998,
20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06),
2006
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