Workshop on QoE-Aware Resource Allocation for Multimedia Communications

Research Article

Software-Defined Live Video Delivery Networks with Device-to-Device Communications

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  • @INPROCEEDINGS{10.4108/eai.13-7-2017.2270269,
        author={Dianjie Lu and Ren Han and Jie Tian and Weizhi Xu and Xiangwei Zheng and Guijuan Zhang and Hui Yu},
        title={Software-Defined Live Video Delivery Networks with Device-to-Device Communications},
        proceedings={Workshop on QoE-Aware Resource Allocation for Multimedia Communications},
        publisher={EAI},
        proceedings_a={QOE-RAMC},
        year={2017},
        month={12},
        keywords={video delivery networks software-defined networking device-to-device communication multi-commodity flow},
        doi={10.4108/eai.13-7-2017.2270269}
    }
    
  • Dianjie Lu
    Ren Han
    Jie Tian
    Weizhi Xu
    Xiangwei Zheng
    Guijuan Zhang
    Hui Yu
    Year: 2017
    Software-Defined Live Video Delivery Networks with Device-to-Device Communications
    QOE-RAMC
    EAI
    DOI: 10.4108/eai.13-7-2017.2270269
Dianjie Lu1,*, Ren Han2, Jie Tian1, Weizhi Xu1, Xiangwei Zheng3, Guijuan Zhang3, Hui Yu4
  • 1: School of Information Science and Engineering, Shandong Normal University, Jinan, China
  • 2: School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China
  • 3: School of Information Science and Engineering, Shandong Normal University
  • 4: Shandong Normal University
*Contact email: ludianjie@sina.com

Abstract

Video Delivery Networks (VDNs) have been widely applied to the video content delivery of mobile Internet recently. However, the traditional VDNs are all infrastructure pre-deployed which makes them inflexible to adapt to the diversity and mass of live video delivery in mobile Internet. Thus, how to meet mobile users’ live video demands while minimizing the delivery cost is still a challenge task. To solve this problem, we propose a Software-defined live Video Delivery Network (S-VDN) framework with Device-to-Device (D2D) communication for mobile Internet. With a global view of the network, S-VDN is capable of managing the mobile users’ requests and the network topology conveniently as well as scheduling the radio resources. In addition, S-VDN enables content delivery among closely located mobile users without going through base stations by employing the D2D technique. Furthermore, we formulate this optimization problem as a Multi-commodity Flow (MCF) problem and design two heuristic algorithms to obtain the optimal solution. Simulation experiments show that our proposed algorithms are efficient in terms of both performance and rental cost.