z-logo
open-access-imgOpen Access
Content pricing in peer-to-peer networks
Author(s) -
Jaeok Park,
Mihaela van der Schaar
Publication year - 2010
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1879082.1879086
Subject(s) - outcome (game theory) , nash equilibrium , upload , computer science , incentive , benchmark (surveying) , scheme (mathematics) , peer to peer , order (exchange) , social network (sociolinguistics) , game theory , microeconomics , computer network , mathematical optimization , social media , economics , mathematics , world wide web , mathematical analysis , geodesy , finance , geography
We provide a game theoretic model of content production and sharing in a peer-to-peer (P2P) network. We characterize two benchmark outcomes: Nash equilibrium (NE) without any incentive scheme and social optimum. We show that the P2P network is not utilized at an NE outcome, whereas social optimum in general requires the utilization of the P2P network. In order to obtain a socially optimal (SO) outcome among self-interested peers, we introduce a pricing scheme where downloading peers compensate uploading peers for content provision. For any SO outcome, we can find a pricing scheme with link-dependent linear prices that achieves the SO outcome as an NE. We illustrate our results with several examples. Our illustration shows that the structures of social optimum and optimal prices vary depending on the characteristics of peers such as cost parameters and connectivity.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom