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Dynamic proxy-assisted scalable broadcasting of videos for heterogeneous environments

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Abstract

Periodic broadcasting (PB) is a scalable technique for providing video-on-demand services. It significantly reduces server I/O and backbone network bandwidth requirements at the expense of high storage space and high network bandwidth requirements for clients. Traditional protocols assume homogeneous clients with identical resources. Unfortunately, in practice clients have very different bandwidths, and these are usually insufficient to provide video-on-demand (VoD) service from a PB server. Existing work on heterogeneous clients has focused on devising broadcast schedules to cater to low-bandwidth clients, which inevitably requires an extra backbone network bandwidth between the server and the clients. In our previous work, we proposed to use proxies residing at the edge of backbone network to accommodate low bandwidth clients for PB-based VoD services. The server broadcasts a video using a PB protocol while the proxy receives and stores the data in its local buffer and broadcasts the stored data to the clients in its local network. It significantly reduces the waiting time of low-bandwidth clients without requiring any extra backbone bandwidth by using a proxy buffer and channels. However, although lots of PB protocols have been proposed, the scheme can be applied only to some old PB protocols based on a pyramid protocol. In this paper, we propose a proxy-assisted PB system that can be generally applied to almost all the existing PB protocols, by dynamically managing buffer space and channels in proxy servers. Thus, with our proposed system, PB VoD system can be optimized in terms of the resource usages in backbone networks, proxy servers, and clients, by adopting more suitable PB protocols.

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References

  1. Aggarwal C, Wolf J, Yu P (1996) A permutation-based pyramid broadcasting scheme for video-on-demand systems. In: IEEE international conference on multimedia computing and systems (ICMCS’96). Hiroshima, Japan, pp 118–126

  2. Aggarwal C, Wolf J, Yu P (1996) On optimal batching policies for video-on-demand storage servers. In: IEEE international conference on multimedia computing and systems (ICMCS’96). Hiroshima, Japan

  3. Aggarwal C, Wolf J, Yu P (2001) The macimum factor queue length batching scheme for video-on-demand systems. IEEE Trans Comput 50(2):97–110

    Article  Google Scholar 

  4. Anderson N (1996) An introduction to IPTV. ARS technica. http://arstechnica.com/business/news/2006/03/iptv.ars/1

  5. Asahiro Y, Kawahara K, Miyano E (2008) NP-hardness of the sorting buffer problem on the uniform metric. In: Proc. of IEEE symposium on foundations of computer science. Philadelphia, PA

  6. Bagouet O, Hua KA, Oger D (2003) Periodic broadcast protocol for heterogeneous receivers. In: Proc. of multimedia computing and networking. Santa Clara, USA

  7. Carter S, Long D (1997) Improving video-on-demand server efficiency through stream tapping. In: Proc. of international conference on computer communication and networks (ICCCN), Las Vegas, NV, pp 200–207

  8. Chan HL, Megow N, van Stee R, Sitters R (2010) The sorting buffer problem is NP-hard. Computing research repository (Cornell Univ. Library) abs/1009.4355

  9. Dan A, SitaramD, Shahabuddin P (1994) scheduling policies for an on-demand video server with batching. In: Proc. of ACM multimedia, San Francisco, CA, pp 15–23

  10. Ding JW, Lin CT, Lan SY (2008) A unified approach to heterogeneous video-on-demand broadcasting. IEEE Trans Broadcast 54(1):14–23

    Article  Google Scholar 

  11. Eager DL, Vernon MK, Zahorjan J (1999) Optimal and efficient merging schedules for video-on-demand servers. In: Proc. of ACM multimedia, Orlando, FL, pp 199–202

  12. Eager DL, Vernon MK, Zahorjan J (2001) Minimizing bandwidth requirements for on-demand data delivery. IEEE Trans Knowl Data Eng 13(5):742–757

    Article  Google Scholar 

  13. Gao L, Kurose J, Towsley D (1998) Efficient schemes for broadcasting popular videos. In: Proceedings of the 8th international workshop on network and operating systems support for digital audio and video (NOSSDAV ’98). Cambridge, UK

  14. Gao L, Zhang ZL, Towsley D (2003) Proxy-assisted techniques for delivering continuous multimedia streams. IEEE/ACM Trans Netw 11(6):884–894

    Article  Google Scholar 

  15. Gill P, Shi L, Mahanti A, Zongpeng Li DLE (2008) Scalable On-demand media streaming for heterogeneous clients. ACM Trans. on Multimedia Computing, Communications, and Applications 5(1):1–24

    Article  Google Scholar 

  16. Hua K, Cai Y, Sheu S (1998) Exploiting client bandwidth for more efficient video broadcast. In: IEEE ICCCN ’98. Lafayette, LA

  17. Hua K, Cai Y, Sheu S (1998) Patching: a multicast technique for true video-on-demad services. In: Proc. of ACM multimedia conf., Bristol, England, pp 191–200

  18. Hua K, Sheu S (1997) Skyscraper broadcasting: a new broadcasting scheme for metropolitan video-on-demand systems. In: ACM SIGCOMM ’97. Cannes, France, pp 89–100

  19. Juhn L, Tseng L (1998) Fast data broadcasting and receiving scheme for popular video service. IEEE Trans Broadcast 44(1):100–105

    Article  Google Scholar 

  20. Kusmierek E, Du DH (2008) Proxy-assisted periodic broadcast for video streaming with multiple servers. Journal of Internet Technology 36(3):243–266

    Google Scholar 

  21. Kusmierek E, Du DH, Dong Y (2004) Proxy-assisted periodic broadcast architecture for large-scale video streaming. Journal of Internet Technology 5(3):289–299

    Google Scholar 

  22. Kwon JB (2011) Proxy-assisted scalable periodic broadcasting of videos for heterogeneous clients. Multimedia Tools and Applications 51(3):1105–1125

    Article  Google Scholar 

  23. M. Englert DO, Westermann M (2008) The power of reordering for online minimum makespan scheduling. In: Proc. of IEEE symposium on foundations of computer science. Philadelphia, PA

  24. Mahanti A, Eager D, Vernon M, Sundaram-Stukel D (2003) Scalable on-demand media streaming with packet loss recovery. IEEE/ACM Trans Netw 11(2):195–209

    Article  Google Scholar 

  25. Pâris JF, Carter S, Long D (1999) A hybrid broadcasting protocol for video on demand. In: Proc. of multimedia computing and networking conference (MMCN’99), San Jose, CA, pp 317–326

  26. Shi L, Sessini P, Mahanti A, Zongpeng Li DLE (2006) Scalable streaming for heterogeneous clients. In: Proc. of ACM multimedia. Santa Babara, CA

  27. Stalling W (2010) Data and computer communications. Prentice Hall

  28. Tantaoui M, Hua K, Do T (2004) BroadCatch: a periodic broadcast technique for heterogeneous video-on-demand. IEEE Trans Broadcast 50(3):289–301

    Article  Google Scholar 

  29. Tseng YC, Chang CH, Yang MH (2002) A recursive frequency-splitting scheme for broadcasting hot videos in VOD service. IEEE Trans Commun 50(8):1348–1355

    Article  Google Scholar 

  30. Viswanathan S, Imielinski T (1996) Metropolitan area video-on-demand service using pyramid broadcasting. Multimedia Syst 4(4):197–208

    Article  Google Scholar 

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Correspondence to Jin Baek Kwon.

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This work was supported by the Sun Moon University Research Grant of 2010.

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Febiansyah, H., Kwon, J.B. Dynamic proxy-assisted scalable broadcasting of videos for heterogeneous environments. Multimed Tools Appl 66, 517–543 (2013). https://doi.org/10.1007/s11042-012-1044-x

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