A game theoretic approach to minimum-delay scalable video transmission over P2P

Authors:
Stefano Asioli;Naeem Ramzan;Ebroul Izquierdo
Affiliations:
Multimedia and Vision Research Group, Queen Mary, University of London, Mile End Road, E1 4NS London, UK;Multimedia and Vision Research Group, Queen Mary, University of London, Mile End Road, E1 4NS London, UK;Multimedia and Vision Research Group, Queen Mary, University of London, Mile End Road, E1 4NS London, UK
Venue:
Image Communication
Year:
2012

Citing 11
Cited 0

Dynamic Programming and Stochastic Control

Dynamic Programming and Stochastic Control
A Game Theoretic Framework for Incentives in P2P Systems

P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
Incentives in BitTorrent induce free riding

Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
Using layered video to provide incentives in P2P live streaming

Proceedings of the 2007 workshop on Peer-to-peer streaming and IP-TV
Is There a Future for Mesh-Based live Video Streaming?

P2P '08 Proceedings of the 2008 Eighth International Conference on Peer-to-Peer Computing
An efficient optimisation scheme for scalable surveillance centric video communications

Image Communication
Incentive cooperation strategies for peer-to-peer live multimedia streaming social networks

IEEE Transactions on Multimedia - Special section on communities and media computing
Evolution of resource reciprocation strategies in P2P networks

IEEE Transactions on Signal Processing
A Measurement Study of a Large-Scale P2P IPTV System

IEEE Transactions on Multimedia
Peer-to-peer streaming of scalable video in future Internet applications

IEEE Communications Magazine
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we describe a game theoretic framework for scalable video streaming over a peer-to-peer network. The proposed system integrates minimum delay functionalities with an incentive provision mechanism for optimal resource allocation. First of all, we introduce an algorithm for packet scheduling that allows users to download a specific sub-set of the original scalable bit-stream, depending on the current network conditions. Furthermore, we present an algorithm that aims both at identifying free-riders and minimising the transmission delay. Uncooperative peers are cut out of this system, while users upload more data to those which have less to share, in order to fully exploit the resources of all peers. Experimental evaluation shows that the proposed model can effectively cope with free-riders and minimise the transmission delay for scalable video transmission by exploiting a packet scheduling algorithm, game theory, and a minimum-delay algorithm.