A Comprehensive Study of Some Recent Proximity Awareness Models and Common-Interest Architectural Formulations Among P2P Systems.

Performance of a peer-to-peer system is commonly assessed by the ease of scalability it offers, level of fault tolerance it can handle and querying latency it results. Especially for a P2P system meant for file sharing, efficient search mechanism is crucial. Such efficiency of file querying is noticeably improved when participating peers are grouped based on their shared interests. Peers when clustered by their geographic proximity can also yield better search latency. Current works use both location proximity and common interest as the basis for clustering and these works take advantage of both the methodologies. This survey talks about various P2P proximitybased clustering models and common-interest based network formulations and to the best of our knowledge there does not exist any survey paper that considers the topic which we have considered in our present work. [ABSTRACT FROM AUTHOR]