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Reputation-based pricing of P2P services
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Source Applications, Technologies, Architectures, and Protocols for Computer Communication archive
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems table of contents
Philadelphia, Pennsylvania, USA
SESSION: Pricing and structure table of contents
Pages: 144 - 149  
Year of Publication: 2005
ISBN:1-59593-026-4
Authors
Radu Jurca  Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Boi Faltings  Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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ABSTRACT

In the future peer-to-peer service oriented computing systems, maintaining a cooperative equilibrium is a non-trivial task. In the absence of Trusted Third Parties (TTP's) or verification authorities, rational service providers minimize their costs by providing ever degrading service quality levels. Anticipating this, rational clients are willing to pay only the minimum amounts (often zero) which leads to the collapse of the market.In this paper, we show how a simple reputation mechanism can be used to overcome this moral hazard problem. The mechanism does not act by social exclusion (i.e. exclude providers that cheat) but rather by allowing flexible service level agreements in which quality can be traded for the price. We show that such a mechanism can drive service providers of different types to exert the social efficient effort levels.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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D. Bergemann and D. Ozmen. Optimal Pricing Policy with Recommender Systems. In Proceedings of P2PEcon 2004, Harvard, Cambridge, 2004.
 
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S. Buchegger and J. L. Boudec. A Robust Reputation System for P2P and Mobile Ad-hoc Networks. In Proceedings of P2PEcon 2004, Harvard, Cambridge, 2004.
 
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Z. Despotovic and K. Aberer. A Probabilistic Approach to Predict Peers' Performance in P2P Networks. In Eighth International Workshop on Cooperative Information Agents, CIA 2004, Erfurt, Germany, 2004.
 
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R. Jurca and B. Faltings. An Incentive-Compatible Reputation Mechanism. In Proceedings of the IEEE Conference on E-Commerce, Newport Beach, CA, USA, 2003.
 
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N. Miller, P. Resnick, and R. Zeckhauser. Eliciting Informative Feedback: The Peer-Prediction Method. Forthcoming in Management Science, 2005.
 
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Collaborative Colleagues:
Radu Jurca: colleagues
Boi Faltings: colleagues