The popularity parameter in unstructured P2P file sharing networks

  • Authors:
  • Jaime Lloret;Juan R. Diaz;Jose M. Jiménez;Manuel Esteve

  • Affiliations:
  • Department of Communications, Polytechnic University of Valencia, Valencia, Spain;Department of Communications, Polytechnic University of Valencia, Valencia, Spain;Department of Communications, Polytechnic University of Valencia, Valencia, Spain;Department of Communications, Polytechnic University of Valencia, Valencia, Spain

  • Venue:
  • AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
  • Year:
  • 2004

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Abstract

Since P2P became extremely popular between Internet users, many researchers have tried to model those P2P networks. One of the parameters, used in these models, is the popularity of a file. Some articles demonstrate that, if a file is so popular, the probability to find this file inside the P2P file sharing network is bigger. This article deals with popularity parameter in P2P file sharing networks. In order to do so, the unstructured public domain Peer-to-Peer networks Gnutella, FastTrack, OpenNap, eDonkey, Soulseek and MP2P have been measured. The authors have established a relationship between some films, songs, programs and documents found in web search engines and the same files found in public domain P2P file sharing networks. If all these analyzed Peer-To-Peer file-sharing networks were interconnected, the probability to find a desired file will be incremented. On the other hand, those analyzed P2P networks seems to be specialized in different type of files as it is shown in the paper.