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Link to original content: https://doi.org/10.1007/978-3-319-42553-5_3
Cost Optimal Resource Provisioning for Live Video Forwarding Across Video Data Centers | SpringerLink
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Cost Optimal Resource Provisioning for Live Video Forwarding Across Video Data Centers

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Big Data Computing and Communications (BigCom 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9784))

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Abstract

Live video forwarding for IP cameras has become a popular service in video data centers. In the forwarding service, requests of end users from different regions arrive in real-time to gain live video streams of IP cameras from inter-connected video data centers. A fundamental scheduling problem is how to assign resources with the global optimal resource cost and forwarding delay to forward live video streams. We introduce the resource provisioning cost as the combination of media server cost, connection bandwidth cost, and forwarding delay cost. In this paper, a multi-objective resource provisioning (MORP) approach is proposed to deal with the online inter-datacenter resource provisioning problem. The approach aims at minimizing the resource provisioning cost during live video forwarding. It adaptively allocates media servers in appropriate video data centers and connects the chosen media servers together to provide system scalability and connectivity. Different from previous works, MORP takes both resource capacity and diversity (e.g. location and price) into consideration during live video forwarding. Finally, the experimental results show that MORP approach not only cuts the resource provisioning cost of 3 % to 10 % comparing to the bench mark approach, but also shortens the resource provisioning delay.

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Acknowledgements

The research reported in this paper is supported by the National Natural Science Foundation of China under Grant No. 61332005 and No. 61190114; The Cosponsored Project of Beijing Committee of Education; The Beijing Training Project for the Leading Talents in S&T (ljrc 201502).

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Authors and Affiliations

  1. Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Yihong Gao, Huadong Ma & Wu Liu

  2. School of Information Technology, Deakin University, Melbourne, VIC, 3125, Australia

    Yihong Gao, Huadong Ma, Wu Liu & Shui Yu

Authors
  1. Yihong Gao
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  2. Huadong Ma
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  3. Wu Liu
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  4. Shui Yu
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Corresponding author

Correspondence to Yihong Gao .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of N. Carolina at Charlotte, Charlotte, North Carolina, USA

    Yu Wang

  2. Northeastern University, College of Information Science and Engineering, Shenyang, Liaoning, China

    Ge Yu

  3. Department of Electrical & Computer Engineering, Rutgers University, Piscataway, New Jersey, USA

    Yanyong Zhang

  4. Department of Electrical and Computer Engineering, University of Houston Department of Engineering, Houston, Texas, USA

    Zhu Han

  5. College of Information Science and Engineering, Northeastern University, Shenyang , Liaoning, China

    Guoren Wang

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Gao, Y., Ma, H., Liu, W., Yu, S. (2016). Cost Optimal Resource Provisioning for Live Video Forwarding Across Video Data Centers. In: Wang, Y., Yu, G., Zhang, Y., Han, Z., Wang, G. (eds) Big Data Computing and Communications. BigCom 2016. Lecture Notes in Computer Science(), vol 9784. Springer, Cham. https://doi.org/10.1007/978-3-319-42553-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-42553-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42552-8

  • Online ISBN: 978-3-319-42553-5

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