Limitations on the Effectiveness of Decentralized Incentive Mechanisms
Autor: | Johan Pouwelse, Henk Sips, Dick Epema, M. Meulpolder |
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Rok vydání: | 2011 |
Předmět: |
Computer science
Mechanism (biology) media_common.quotation_subject 020206 networking & telecommunications 02 engineering and technology computer.file_format Computer security computer.software_genre Reciprocity (evolution) Term (time) Upload Incentive Risk analysis (engineering) Reciprocity (social psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing computer BitTorrent Reputation media_common |
Zdroj: | ICC |
Popis: | During the last decade of P2P research a lot of attention has been given to incentive mechanisms. While centralized incentive mechanisms are straightforward in their design, a long term challenge has been to create a decentralized incentive mechanism that can be used to effectively induce cooperation and reduce freeriding. While there have been many proposals of such mechanisms based on the spreading of reputation information, little attention has been given to the theoretical limitations of such designs. In this paper, we present a high level model of reputation-based incentive mechanisms. We derive upper bounds on the effectiveness of such mechanisms, especially with respect to the performance under behavioral change and population turnover. Moreover, we assess the effectiveness of a reputation overlay in BitTorrent, and show that while its tit-for-tat reciprocity algorithm provides incentives for uploading on the short term, it reduces the benefits of an integrated long term incentive mechanism. All in all, we offer important insights for the design of future incentive systems. |
Databáze: | OpenAIRE |
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