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On aggregate available bandwidth in many-to-one data transfer—modeling and applications

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Abstract

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.

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References

  1. Agarwal V, Rejaie R (2005) Adaptive multi-source streaming in heterogeneous peer-to-peer networks. SPIE conference on multimedia computing and networking, San Jose, California, January 2005

  2. Golubchik L, Lui JCS, Muntz RR (1995) Reducing I/O demands in video-on-demand storage servers. ACM SIGMETRICS and PERFORMANCE’95, International conference on measurement and modeling of computer systems, Ottawa, Canada, May 1995

  3. Hahn GJ, Shapiro SS (1994) Statistical models in engineering. Wiley Classics Library Edition, John Wiley & Sons, Inc, USA

  4. Handley M, Floyd S, Padhye J, Widmer J (2003) TCP Friendly Protocol Specification (TFRC): protocol specification. RFC 3448, January 2003

  5. Iperf Homepage: http://www.dast.nlanr.net/Projects/Iperf/

  6. Lam LS, Lee Jack YB, Liew SC, Wang W (2004) A transparent rate adaptation algorithm for streaming video over the internet. 18th International conference on advanced information networking and applications, Fukuoka, Japan, March 2004

  7. Liang YQ, Tan YP (2002) Methods and needs for transcoding MPEG-4 fine granularity scalability video. IEEE International Symposium on Circuits and Systems 2002, Scottsdale, Arizona, vol 4, pp 719–722, May 2002

  8. Liang YJ, Farber N, Girod B (2001) Adaptive playout scheduling using time-scale modification in packet voice communications. IEEE International Conference on Acoustics, Speech, and Signal Processing 2001, Salt Lake City, Utah, vol 3, pp 1445–1448, May 2001

  9. Morin PR (1995) The impact of self-similarity on network performance analysis. Ph.D. dissertation, Carleton University, Dec. 1995

  10. Morris R, Dong Lin (2000) Variance of aggregated web traffic. INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, Tel-Aviv, Israel, vol 1, pp 360–366, March 2000

  11. Nguyen T, Zakhor A (2002) Distributed video streaming over the internet. SPIE Conference on Multimedia Computing and Networking, San Jose, California, January 2002

  12. Park K, Kim G, Crovella M (1996) On the relation between file sizes, transport protocols, and self-similar network traffic. International conference on network protocols, Columbus, Ohio, USA, pp 171–180, Oct. 1996

  13. Park K, Kim G, Crovella M (1997) On the effect of traffic self-similarity on network performance. SPIE international conference on performance and control of network system, pp 296–310, November 1997

  14. Paxson V (1995) Fast approximation of self-similar network traffic. Tech. Rep., Lawrence Berkeley Laboratory and EECS Division, University of California, Berkeley, April 1995

  15. Planetlab Homepage: http://www.planet-lab.org/

  16. Reibman AR, Jafarkhani H, Wang Y, Orchard MT, Puri R (1999) Multiple description coding for video using motion compensated prediction. International Conference on Image Processing, Kobe, Japan, vol 3, pp 837–41, October 1999

  17. Setton E, Liang Yi, Girod B (2003) Adaptive multiple description video streaming over multiple channels with active probing. International conference on multimedia and expo, Baltimore, Maryland, vol 1, pp I-509-12, July 2003

  18. Tuan T, Park K (1998) Congestion control for self-similar network traffic. Department of Computer Science, Purdue University, CSD-TR 98-014, May 1998

  19. Vetro A, Christopoulos C, Sun Huifang (2003) Video transcoding architectures and techniques: an overview. IEEE Signal Process Mag 20(2):18–29, March

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Authors and Affiliations

  1. Department of Information Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong

    S. C. Hui & Jack Y. B. Lee

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  1. S. C. Hui
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  2. Jack Y. B. Lee
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Correspondence to Jack Y. B. Lee.

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Hui, S.C., Lee, J.Y.B. On aggregate available bandwidth in many-to-one data transfer—modeling and applications. Multimed Tools Appl 34, 139–154 (2007). https://doi.org/10.1007/s11042-006-0088-1

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  • DOI: https://doi.org/10.1007/s11042-006-0088-1

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