An efficient JSD-based search on interest-based hierarchical clustering of overlay networks
Küçük Resim Yok
Tarih
2010
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In P2P networks, peers share contents, especially video files, which represent their interests. However, the underlying P2P topology may not represent this interest distribution. Thus, one important aspect of constructing an efficient P2P network is to exploit the interest similarity among peers. In this paper, we propose a hierarchical clustering mechanism for constructing an overlay network that takes interest similarity among peers into account. By measuring the similarity among interests of peers and clusters, interest-based hierarchical clusters are formed by using Jensen-Shannon Divergence metric. The clustering performance metrics, accuracy and correctness, are reported on PlanetLab. For limited keyword collections, a novel Jensen-Shannon Divergence-based search mechanism is implemented. It has been observed that the integrated mechanism provides an efficient method and better performance as compared to classical keyword-based search. Copyright © IARIA, 2010.
Açıklama
2nd International Conference on Advances in P2P Systems, AP2PS 2010 -- 25 October 2010 through 30 October 2010 -- Florence -- 98568
Anahtar Kelimeler
Clustering, Interest, Jensen-Shannon Divergence, Peer-to-peer, Search
Kaynak
AP2PS 2010 - 2nd International Conference on Advances in P2P Systems
WoS Q Değeri
Scopus Q Değeri
N/A
