How much to share: A repeated game model for peer-to-peer streaming under service differentiation incentives

Xin Xiao*, Qian Zhang, Yuanchun Shi, Yuan Gao

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

24 Citations (Scopus)

Abstract

In this paper, we propose a service differentiation incentive for P2P streaming system, according to peers' instant contributions. Also, a repeated game model is designed to analyze how much the peers should contribute in each round under this incentive. Simulations show that satisfying streaming quality is achieved in the Nash Equilibrium state.

Original languageEnglish
Article number6087361
Pages (from-to)288-295
Number of pages8
JournalIEEE Transactions on Parallel and Distributed Systems
Volume23
Issue number2
DOIs
Publication statusPublished - 2012

Keywords

  • Free riding
  • Nash Equilibrium
  • P2P streaming
  • game theory
  • incentives

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