PUMA
Istituto di Studi sui Sistemi Intelligenti per l'Automazione     
Caviglione L., Cervellera C., Davoli F., Grassia F. A. Optimization of an eMule-like modifier strategy. In: Computer Communications, vol. 31 (16) pp. 3876 - 3882. Performance Evaluation of Communication Networks (SPECTS 2007). Elsevier, 2008.
 
 
Abstract
(English)
One of the main issues in peer-to-peer file-sharing services is to ensure balanced transfers of data among peers. For instance, the popular eMule file-sharing client interface implements techniques based on a credit system and time modifiers, in order to guarantee a fair degree of contribution/reward, e.g., to prevent leeching. However, fixed heuristic modifiers may not be able to guarantee a fair treatment for every peer participating in the service. This paper introduces an optimized strategy to compute modifiers in order to promote cooperation among peers, while guaranteeing a suitable degree of fairness. Simulations are provided to compare the proposed mechanism to the standard one adopted by the popular eMule client interface.
DOI: 10.1016/j.comcom.2008.04.005
Subject p2p
Optimization
File-sharing
eMule
Credit system


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