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Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures

Author

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  • Monica Johar

    (The Belk College of Business, University of North Carolina at Charlotte, North Carolina 28223)

  • Syam Menon

    (School of Management, The University of Texas at Dallas, Richardson, Texas 75080)

  • Vijay Mookerjee

    (School of Management, The University of Texas at Dallas, Richardson, Texas 75080)

Abstract

Historically, the use of peer-to-peer (P2P) networks has been limited primarily to user-initiated exchanges of (mostly music) files over the Internet. This traditional view of P2P networks is changing, however, and the use of P2P networks has been suggested for delivering general-purpose content over the Web (or corporate intranets), even in real time. We analyze sharing in a P2P community in this new context under three different congestion measures: delay, jitter, and packet loss. Sharing is important to study in the presence of congestion because most existing research on P2P networks views congestion in the network as a relatively insignificant criterion. However, when delivering general-purpose content, congestion and its relationship to sharing is a critical factor that influences end-user performance. This paper looks at P2P networks from this new perspective by explicitly considering the effects of congestion on user incentives for sharing. We also propose a simple incentive mechanism that induces socially optimal sharing.

Suggested Citation

  • Monica Johar & Syam Menon & Vijay Mookerjee, 2011. "Analyzing Sharing in Peer-to-Peer Networks Under Various Congestion Measures," Information Systems Research, INFORMS, vol. 22(2), pages 325-345, June.
    • Handle: RePEc:inm:orisre:v:22:y:2011:i:2:p:325-345
    DOI: 10.1287/isre.1090.0258
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    References listed on IDEAS

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    1. Cunningham, Brendan M. & Alexander, Peter J. & Adilov, Nodir, 2004. "Peer-to-peer file sharing communities," Information Economics and Policy, Elsevier, vol. 16(2), pages 197-213, June.
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    Cited by:

    1. Robert F. Easley & Hong Guo & Jan Krämer, 2018. "Research Commentary—From Net Neutrality to Data Neutrality: A Techno-Economic Framework and Research Agenda," Information Systems Research, INFORMS, vol. 29(2), pages 253-272, June.
    2. Manmohan Aseri & Milind Dawande & Ganesh Janakiraman & Vijay S. Mookerjee, 2020. "Ad-Blockers: A Blessing or a Curse?," Information Systems Research, INFORMS, vol. 31(2), pages 627-646, June.
    3. Nikhil Malik & Manmohan Aseri & Param Vir Singh & Kannan Srinivasan, 2022. "Why Bitcoin Will Fail to Scale?," Management Science, INFORMS, vol. 68(10), pages 7323-7349, October.
    4. Perera, Sandun & Gupta, Varun & Buckley, Winston, 2020. "Management of online server congestion using optimal demand throttling," European Journal of Operational Research, Elsevier, vol. 285(1), pages 324-342.

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