Maze is a P2P file sharing system, which is developed, deployed and operated by our academic research team. With control over source code, we can leverage Maze as a large-scale measurement platform. By analyzing more than 600 million user shared files, as much as 100 million download session and users’ online state for 4 months, this paper gives a complete study on file characteristics and user behavior in Maze system. Some valuable conclusions are derived from this measurement, which provide the first hand stuff to understand P2P system behavior.


File Size Online User Upload Bandwidth Online Time User Share 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
  2. 2.
    Yang, M., Zhao, B.Y., et al.: Deployment of a large scale peer-to-peer social network. In: Proceedings of the 1st Workshop on Real, Large Distributed SystemsGoogle Scholar
  3. 3.
    Chen, H., Yang, M., et al.: Maze: a Social Peer-to-peer Network. In: The International Conference on e-Commerce Technology for Dynamic e-Business (CEC-EAST 2004), Beijing, China (September 2004)Google Scholar
  4. 4.
    Saroiu, S., Gummadi, P.K., Gribble, S.D.: A measurement study of peer-to-peer file sharing systems. In: Proceedings of Multimedia Computing and Networking, MMCN (January 2002)Google Scholar
  5. 5.
    Breslau, L., Cao, P., et al.: Web caching and Zipf-like distributions: Evidence and implications. In: Proceedings of IEEE INFOCOM 1999 (March 1999)Google Scholar
  6. 6.
    Sen, S., Wang, J.: Analyzing peer-to-peer traffic across large networks. In: Proceedings of the Second SIGCOMM Internet Measurement Workshop (IMW 2002), Marseille, France (November 2002)Google Scholar
  7. 7.
    Gummadi, K.P., Dunn, R.J., et al.: Measurement, Modeling, and Analysis of a Peer-to-Peer File-Sharing Workload. In: Proceedings of the 19th ACM Symposium on Operating Systems Principles (SOSP-19), Bolton Landing, NYGoogle Scholar
  8. 8.
    Makosiej, P., Sakaryan, G., Unger, H.: Measurement Study of Shared Content and User Request Structure in Peer-to-Peer Gnutella Network,

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hanyu Liu
  • Yu Peng
  • Mao Yang
  • Yafei Dai

There are no affiliations available

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