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Maximum Likelihood Estimation of Peers' Performance in P2P Networks
 

Summary: Maximum Likelihood Estimation of
Peers' Performance in P2P Networks
Zoran Despotovic, Karl Aberer
EPFL - Swiss Federal Institute of Technology
Lausanne, Switzerland
email:{zoran.despotovic, karl.aberer}@epfl.ch
Abstract
The problem of encouraging trustworthy behavior in
P2P online communities by managing peers' reputa-
tions 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 likeli-
hood 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
probabilisic estimation methods suffice.
1. Introduction

  

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

 

Collections: Computer Technologies and Information Sciences