Title :
Cumulative Reputation Systems for Peer-to-Peer Content Distribution
Author :
Mortazavi, B. ; Kesidis, G.
Author_Institution :
CS&E Dept., Pennsylvania State Univ., University Park, PA
Abstract :
Reputation systems can be used to provide incentives for cooperation among participants of peer-to-peer networks. In this paper, a survey of such systems is first provided. We then focus on content distribution networks that have honest but rationally selfish users. A reputation framework is proposed that, for special cases, can be proved to converge in mean to "reveal" the true propensity of peer nodes to cooperate. Based on this framework a game is designed in which users play to maximize the files received from the system by adjusting their cooperation level and gaining a better reputation as a result.
Keywords :
content management; game theory; peer-to-peer computing; content distribution network; cumulative reputation system; game theory; peer-to-peer network; Context; Costs; Merchandise; Network servers; Peer to peer computing; Quality of service; Robustness; Routing protocols; Telecommunication network reliability; Wireless application protocol;
Conference_Titel :
Information Sciences and Systems, 2006 40th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
1-4244-0349-9
Electronic_ISBN :
1-4244-0350-2
DOI :
10.1109/CISS.2006.286385