Reducing I/O demand in video-on-demand storage servers
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
On the relationship between file sizes, transport protocols, and self-similar network traffic
ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
A Transparent Rate Adaptation Algorithm for Streaming Video over the Internet
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Adaptive multiple description video streaming over multiple channels with active probing
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Adaptive playout scheduling using time-scale modification in packet voice communications
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
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This work investigates the modeling of aggregate available bandwidth in multi-sender network applications. Unlike the well-established client---server model, where there is only one server sending the requested data, the available bandwidth of multiple senders when combined together does exhibit consistent properties and thus can be modeled and estimated. Through extensive experiments conducted in the Internet this work proposed to model the aggregate available bandwidth using a normal distribution and then illustrates its application through a hybrid download-streaming algorithm and a playback-adaptive streaming algorithm for video delivery under different bandwidth availability scenarios. This new multi-source bandwidth model opens a new way to provide probabilistic performance guarantee in best-effort networks such as the Internet, and is particularly suitable for the emerging peer-to-peer applications, where having multiple sources is the norm rather than the exception.