| | |
Summary: Queuing Network Models for
Multi-Channel P2P Live Streaming Systems
Di Wu, Yong Liu, Keith W. Ross
Department of Computer & Information Science
Department of Electrical & Computer Engineering
Polytechnic Institute of NYU, Brooklyn, NY, USA 11201
Email: {dwu, yongliu, ross}@poly.edu
Abstract--In recent years there have been several large-scale
deployments of P2P live video systems. Existing and future P2P
live video systems will offer a large number of channels, with
users switching frequently among the channels. In this paper, we
develop infinite-server queueing network models to analytically
study the performance of multi-channel P2P streaming systems.
Our models capture essential aspects of multi-channel video
systems, including peer channel switching, peer churn, peer
bandwidth heterogeneity, and Zipf-like channel popularity. We
apply the queueing network models to two P2P streaming
designs: the isolated channel design (ISO) and the View-Upload
|
