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Collaborate Algorithms for the Multi-channel Program Download Problem in VOD Applications

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Collaborate Computing: Networking, Applications and Worksharing (CollaborateCom 2016)

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Abstract

Video-on-demand (VOD) is a multimedia technology that allows users to watch video programs from a server flexibly at any time. In recent years, VOD applications are very popular in many networks, especially in internet of vehicles where video programs can often be collaboratively downloaded from multiple channels simultaneously. In this paper, we first study the Multi-Channel Program Download Problem (McPDP), which is to download a set of interested programs from different channels within limited time. We prove that McPDP is NP-complete by reduction from 3-SAT(3). For another version with neatly placed programs of equal length, the aligned multi-channel program download problem (AMcPDP), we present an algorithm by transforming it into a max-flow problem. Finally, we have also analyzed the performance of these proposed algorithms by simulation using MATLAB.

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Authors and Affiliations

  1. School of Computer Science and Software Engineering, East China Normal University, 3663 Zhongshan North Road, Shanghai, 200062, China

    Wenli Zhang, Lin Yang, Kepi Zhang & Chao Peng

Authors
  1. Wenli Zhang
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  2. Lin Yang
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  3. Kepi Zhang
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  4. Chao Peng
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Corresponding author

Correspondence to Chao Peng .

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Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Ao Zhou

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, W., Yang, L., Zhang, K., Peng, C. (2017). Collaborate Algorithms for the Multi-channel Program Download Problem in VOD Applications. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_30

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  • DOI: https://doi.org/10.1007/978-3-319-59288-6_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59287-9

  • Online ISBN: 978-3-319-59288-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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