A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Scalable Search based on Fuzzy Clustering for Interest-based P2P Networks
2011
KSII Transactions on Internet and Information Systems
An interest-based P2P constructs the peer connections based on similarities for efficient search of resources. A clustering technique using peer similarities as data is an effective approach to group the most relevant peers. However, the separation of groups produced from clustering lowers the scalability of a P2P network. Moreover, the interest-based approach is only concerned with user-level grouping where topology-awareness on the physical network is not considered. This paper proposes an
doi:10.3837/tiis.2011.01.009
fatcat:jqjsq77eq5gavkakjvflrr4444