Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Search and replication in unstructured peer-to-peer networks
ICS '02 Proceedings of the 16th international conference on Supercomputing
Analyzing peer-to-peer traffic across large networks
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Making gnutella-like P2P systems scalable
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Exploiting Semantic Proximity in Peer-to-Peer Content Searching
FTDCS '04 Proceedings of the 10th IEEE International Workshop on Future Trends of Distributed Computing Systems
An analysis of internet content delivery systems
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
The case for a hybrid p2p search infrastructure
IPTPS'04 Proceedings of the Third international conference on Peer-to-Peer Systems
Clustering in peer-to-peer file sharing workloads
IPTPS'04 Proceedings of the Third international conference on Peer-to-Peer Systems
Exploiting Geographical and Temporal Locality to Boost Search Efficiency in Peer-to-Peer Systems
IEEE Transactions on Parallel and Distributed Systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Proceedings of the international workshop on Workshop on multimedia information retrieval
A framework for semantic grouping in P2P databases
Information Systems
Ontology-Based Data Sharing in P2P Databases
Semantic Web, Ontologies and Databases
GrouPeer: Dynamic clustering of P2P databases
Information Systems
Reducing query overhead through route learning in unstructured peer-to-peer network
Journal of Network and Computer Applications
An evaluation study of clustering algorithms in the scope of user communities assessment
Computers & Mathematics with Applications
Epidemic-Style management of semantic overlays for content-based searching
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Clustering in p2p exchanges and consequences on performances
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Network traffic locality in a rural African village
Proceedings of the Fifth International Conference on Information and Communication Technologies and Development
Choose your tribe! – evolution at the next level in a peer-to-peer network
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
Semantic grouping of social networks in P2P database settings
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Peer-to-peer file sharing now represents a significant portion of the Internet traffic and has generated a lot of interest from the research community. Some recent measurements studies of peer-to-peer workloads have demonstrated the presence of semantic proximity between peers. One way to improve performance of peer-to-peer file sharing systems is to exploit this locality of interest in order to connect semantically related peers so as to improve the search both in flooding- and server-based systems. Creating these additional connections raises interesting challenges and in particular (i) how to capture the semantic relationship between peers (ii) how to exploit these relationships and (iii) how to evaluate these improvements. In this paper, we evaluate several strategies to exploit the semantic proximity between peers against a real trace collected in November 2003 in the eDonkey 2000 peer-to-peer network. We present the results of this evaluation which confirm the presence of clustering in such networks and the interest to exploit it.