Analyzing peer-to-peer traffic across large networks

By Subhabrata Sen, Jia Wang. International Memory Workshop, 2002

959 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/3ef1fc2048ecb88599ac163f51f5fb5042919770

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In Computer Networks and Communications

Citations in the corpus

Should internet service providers fear peer-assisted content distribution? (2005, background): “[26] S. Sen and J. Wang.”
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems (2017, methodology): “The works in [170] and [171] provided automatic network traffic classification based on exploiting the traffic features, e.”
An Experimental Study of the Skype Peer-to-Peer VoIP System (2005, background): “While measurement studies of both P2P file-sharing networks [26] [27] [2] [13] [21] and " traditional " VoIP systems [14] [17] [4] have been performed in the past, little is known about VoIP systems that are built using a P2P architecture.”
MAAN: A Multi-Attribute Addressable Network for Grid Information Services (2003, background): “However, this approach does not scale well because of the large volume of query messages generated by flooding [13, 17].”
Making gnutella-like P2P systems scalable (2003, background): “Other measurement studies include [23] which shows that there exists extreme heterogeneity in the traffic volumes generated by hosts within a P2P network and that only a small fraction of hosts are stable and persist in the P2P network over long periods of time.”
Offline/realtime traffic classification using semi-supervised learning (2007, background): “dits, P2P now accounts for 50 − 70% of the Internet traffic [3,29].”
Characterizing residential broadband networks (2007, background): “Many previous studies have measured network properties of hosts participating in file-sharing peer-to-peer systems [7, 44, 45].”
The Bittorrent P2P File-Sharing System: Measurements and Analysis (2005, background): “For other P2P systems than BitTorrent, several measurement studies of P2P networks have addressed the issues of availability [2, 4, 6], integrity [10], flashcrowds [5, 9], and download performance [1, 15, 14, 3, 4].”
Survey of research towards robust peer-to-peer networks: Search methods (2006, background): “Sen and Wang compared the performance of Gnutella, Fasttrack [251] and Direct Connect [243] [252] [253].”
RDFPeers: a scalable distributed RDF repository based on a structured peer-to-peer network (2004, background): “Measurement studies [20, 21] show that Gnutella-like unstructured P2P networks do not scale well to a large number of nodes.”
BLINC: multilevel traffic classification in the dark (2005, background): “Taking into account empirical application trends [8, 20] and the increasing use of encryption, we conjecture that traﬃc classiﬁers of the future will need to classify traﬃc “in the dark”.”
Is P2P dying or just hiding? [P2P traffic measurement] (2004, background): “P2P measurement studies have thus far been limited, usually focused on topological characteristics of P2P networks based on flow level analysis [23], or investigating properties such as bottleneck bandwidths [22], the possibility of caching [17], or the availability of content [3].”
On Death, Taxes, and the Convergence of Peer-to-Peer and Grid Computing (2003, background): “Far larger P2P communities exist: millions of simultaneous nodes in the case of file sharing systems [32, 47] and several million total nodes in SETI@home.”
Gossip-based peer sampling (2007, background): “[Bhagwan et al. 2003; Saroiu et al. 2003; Sen and Wang 2004]).”