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Zebroid: using IPTV data to support STB-assisted VoD content delivery

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Abstract

IPTV, unlike Internet TV, delivers digital TV and multimedia services over IP-based networks with the required level of quality of service (QoS) and quality of experience (QoE). Linear programming channels in IPTV are delivered through multicast, which is highly scalable with the number of subscribers. Video-on-demand (VoD) content, on the other hand, is typically delivered using unicast, which places a heavy load on the VoD servers and all the network components leading to the end-user set-top boxes (STBs) as the demand increases. With the rapid growth of IPTV subscribers and the shift in video viewing habits, the need to efficiently disseminate large volumes of VoD content has prompted IPTV service providers to consider the use of STBs to assist in video content delivery. This paper describes our current research work on Zebroid, a potential VoD solution for fiber-to-the-node (FTTN) networks, which uses IPTV data on a recurring basis to determine how to select, stripe, and preposition popular content in selected STBs during idle hours. A STB requesting VoD content during the peak hours can then receive necessary stripes from participating STBs in the neighborhood. Recent VoD request access patterns, STB availability data, and capacity data on network components are taken into consideration in determining the parameters used in the striping algorithm of Zebroid. We show both by simulation and emulation on a realistic IPTV testbed that the VoD server load can be reduced by more than 70% during peak hours by allocating only 8 GB of storage on each STB. The savings achieved through Zebroid would also allow IPTV service providers to add more linear programming channels without expensive infrastructure upgrades.

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Acknowledgments

The authors would like to thank Chris Volinsky, Deborah Swayne, Ralph Knag, and Alex Gerber for their assistance with IPTV data, and Matti Hiltunen for his valuable comments on this paper.

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Authors and Affiliations

  1. AT&T Labs Research, Florham Park, NJ, 07932, USA

    Yih-Farn Robin Chen, Rittwik Jana, Daniel Stern, Bin Wei & Mike Yang

  2. School of Computer Science and Engineering, Beihang University, Beijing, China

    Hailong Sun

  3. Purdue University, West Lafayette, IN, 47907, USA

    Jagadeesh Dyaberi

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  1. Yih-Farn Robin Chen
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  2. Rittwik Jana
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  4. Bin Wei
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  7. Jagadeesh Dyaberi
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Correspondence to Yih-Farn Robin Chen.

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Chen, YF.R., Jana, R., Stern, D. et al. Zebroid: using IPTV data to support STB-assisted VoD content delivery. Multimedia Systems 16, 199–214 (2010). https://doi.org/10.1007/s00530-010-0184-y

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