NDLI: Analysis of peer-assisted video-on-demand systems with scalable video streams

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Analysis of peer-assisted video-on-demand systems with scalable video streams

Content Provider	ACM Digital Library
Author	Mokhtarian, Kianoosh Hefeeda, Mohamed
Abstract	In recent years, peer-to-peer (P2P) and peer-assisted streaming have emerged as promising models for low-cost multimedia distribution to large scale user communities. In this paper, we study streaming of scalable video streams over these systems. Scalable video streams are composed of multiple layers and can easily be adapted according to the characteristics and needs of receivers. Thus, they can efficiently support a wide spectrum of heterogeneous peers participating in a P2P streaming system. We present an analytical model for forecasting the long-term behavior of a P2P streaming system with scalable video streams. Our analysis takes as inputs the characteristics of a dynamic P2P streaming system and the video streams. It then analytically computes the expected throughput of the streaming system and the expected video quality delivered to peers. The analysis also provides an upper bound on the maximum number of peers that can be admitted to the system at once (i.e., in flash crowd scenarios), while ensuring a certain video quality. We present a general analysis framework that can be customized to various practical P2P streaming systems with different characteristics. Then, we show the detailed analysis of a typical P2P streaming system and we explain how other systems can be analyzed using our model. We validate our analysis by comparing its results to those obtained from simulations, which confirm the accuracy of our analysis. Our analysis and simulations enable administrators of P2P streaming systems to predict the throughput and the video quality that can be delivered to users.
Starting Page	133
Ending Page	144
Page Count	12
File Format	PDF
ISBN	9781605589145
DOI	10.1145/1730836.1730853
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-02-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Analytical models Video-on-demand Peer-assisted networks Peer-to-peer streaming Scalable video streams Capacity planning
Content Type	Text
Resource Type	Article

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