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A Probabilistic Approach to Predict Peers' Performance in P2P Networks
 

Summary: A Probabilistic Approach to Predict
Peers' Performance in P2P Networks
Zoran Despotovic and Karl Aberer
EPFL - Swiss Federal Institute of Technology
Lausanne, Switzerland
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 probabilis-
tic 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. In-
stead, simple, intuitive and efficient probabilistic estimation methods
suffice.
1 Introduction
Recent empirical studies have shown that much of eBay's commercial success
can be attributed to its reputation mechanism (Feedback Forum) as a means
of deterring dishonest behavior. Thus, [1] shows that "reputation profiles are
predictive of future performance", while [2] and [3] come up with the conclusion

  

Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne

 

Collections: Computer Technologies and Information Sciences