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A Probabilistic Approach to Predict Peers’ Performance in P2P Networks

  • Conference paper
Cooperative Information Agents VIII (CIA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3191))

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Abstract

The problem of encouraging trustworthy behavior in P2P online communities by managing peers’ reputations has drawn a lot of attention recently. However, most of the proposed solutions exhibit the following two problems: huge implementation overhead and unclear trust related model semantics. In this paper we show that a simple probabilistic technique, maximum likelihood estimation namely, can reduce these two problems substantially when employed as the feedback aggregation strategy. Thus, no complex exploration of the feedback is necessary. Instead, simple, intuitive and efficient probabilistic estimation methods suffice.

The work presented in this paper was partly carried out in the framework of the EPFL Center for Global Computing and supported by the Swiss National Funding Agency OFES as part of the European project Evergrow No 001935.

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References

  1. Resnick, P., Zeckhauser, R.: Trust among strangers in internet transactions: Empirical analysis of ebay’s reputation system. In: Baye, M.R. (ed.) The Economics of the Internet and E-Commerce. Advances in Applied Microeconomics, vol. 11, Elsevier Science, Amsterdam (2002)

    Chapter  Google Scholar 

  2. Houser, D., Wooders, J.: Reputation in auctions: Theory and evidence from ebay. Working paper, University of Arizona (2001)

    Google Scholar 

  3. Melnik, M.I., Alm, J.: Does a seller’s ecommerce reputation matter? evidence from ebay auctions. Journal of Industrial Economics 50(3), 337–349 (2002)

    Article  Google Scholar 

  4. Resnick, P., Zeckhauser, R., Friedman, E., Kuwabara, K.: Reputation systems. Communications of the ACM 43(12), 45–48 (2000)

    Article  Google Scholar 

  5. Dellarocas, C.: The digitization of word-of-mouth: Promise and challenges of online reputation systems. In: Working paper, MIT, Cambridge (2002)

    Google Scholar 

  6. Clip2: The gnutella protocol specification v0.4 (document revision 1.2) (2001), http://www9.limewire.com/developer/gnutella_protocol_0.4.pdf

  7. Aberer, K.: P-grid: A self-organizing access structure for P2P information systems. In: Batini, C., Giunchiglia, F., Giorgini, P., Mecella, M. (eds.) CoopIS 2001. LNCS, vol. 2172, p. 179. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  8. Stoica, I., Morris, R., Karger, D., Kaashoek, F., Balakrishnan, H.: Chord: A scalable peer-to-peer lookup service for internet applications. In: Proceedings of the 2001 ACM SIGCOMM Conference, pp. 149–160 (2001)

    Google Scholar 

  9. Ratnasamy, S., Francis, P., Handley, M., Karp, R., Shenker, S.: A scalable contentaddressable network. In: Proceedings of ACM SIGCOMM 2001, pp. 161–172 (2001)

    Google Scholar 

  10. Aberer, K., Despotovic, Z.: Managing trust in a Peer-2-Peer information system. In: Proc. of the IX International Conference on Information and Knowledge Management, Atlanta, Georgia (2001)

    Google Scholar 

  11. Usunier, J.C.: Trust management in computer information systems. Working paper, IUMI, HEC, University of Lausanne, Switzerland (2001)

    Google Scholar 

  12. Beth, T., Borcherding, M., Klein, B.: Valuation of trust in open networks. In: Proceedings of the European Symposium on Research in Computer Security (ESORICS), Brighton, UK, pp. 3–18. Springer, Heidelberg (1994)

    Google Scholar 

  13. Richardson, M., Agrawal, R., Domingos, P.: Trust management for the semantic web. In: Proceedings of the Second International Semantic Web Conference, Sanibel Island, FL, pp. 351–368 (2003)

    Google Scholar 

  14. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the web. Technical report, Stanford University, Stanford, CA (1998)

    Google Scholar 

  15. Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: Eigenrep: Reputation management in p2p networks. In: Proceedings of the World Wide Web Conference, Budapest, Hungary (2003)

    Google Scholar 

  16. Xiong, L., Liu, L.: Peertrust: Supporting reputation-based trust in peer-to-peer communities. In: IEEE Transactions on Knowledge and Data Engineering (TKDE), Special Issue on Peer-to-Peer Based Data Management (2004)

    Google Scholar 

  17. Mui, L., Mohtashemi, M., Halberstadt, A.: A computational model of trust and reputation. In: Proceedins of the 35th Hawaii International Conference on System Science, HICSS (2002)

    Google Scholar 

  18. Buchegger, S., Le Boudec, J.Y.: The effect of rumor spreading in reputation systems for mobile ad-hoc networks. In: Proc. of WiOpt 2003: Modeling and Optimization in Mbile, Ad Hoc and Wireless Networks, Sophia-Antipolis, France (2003)

    Google Scholar 

  19. Kreps, D., Wilson, R.: Reputation and imperfect information. Journal of Economic Theory 27, 253–279 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  20. Fudenberg, D., Levine, D.: Reputation and equilibrium selection in games with a patient player. Econometrica 57(4), 759–778 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  21. Fudenberg, D., Levine, D.: Maintaining a reputation when strategies are imperfectly observed. Review of Economic Studies 59, 561–579 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  22. Dellarocas, C.: Efficiency and robustness of binary feedback mechanisms in trading environments with moral hazard. Working paper 4297-03, MIT (2003)

    Google Scholar 

  23. Sen, S., Sajja, N.: Robustness of reputation-based trust: Boolean case. In: Proceedings of AAMAS 2002, Bologna (July 2002)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Despotovic, Z., Aberer, K. (2004). A Probabilistic Approach to Predict Peers’ Performance in P2P Networks. In: Klusch, M., Ossowski, S., Kashyap, V., Unland, R. (eds) Cooperative Information Agents VIII. CIA 2004. Lecture Notes in Computer Science(), vol 3191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30104-2_6

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  • DOI: https://doi.org/10.1007/978-3-540-30104-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23170-7

  • Online ISBN: 978-3-540-30104-2

  • eBook Packages: Springer Book Archive

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