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QoS-awareness peer coordination control for topology-converging P2P live streaming

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Abstract

For Peer to Peer (P2P) live streaming media, the peer coordination control mechanism becomes complex under dynamic traffic fluctuation, different node distance and capacity as well as user dynamics. Due to the lack of the adjusting ability, the existing peer coordination control mechanisms perform worse, and have large overhead. In order to overcome these problems, a QoS-awareness peer coordination control mechanism is proposed. Specifically, firstly, a ring buffer mechanism is introduced to implement the cyclic coordination, and the algorithms of both cycle length and cycle time are suggested to implement the constant startup delay and smooth play. Secondly, the selection algorithms of both the content-likeness candidate and the shortest-distance peer are proposed to implement the QoS-awareness streaming synchronization. Thirdly, the peer task assignment algorithm is proposed to implement the variable trunk and similar Cycle Task Fulfillment Time (CTFT). Next, a self-adaptive adjusting mechanism is introduced to converge P2P topology and fight against the delivery abnormality. Finally, simulation is conducted to corroborate our studies and the results show that its performance outperforms the existing mechanisms.

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Acknowledgment

Manuscript received April 11, 2015. This work was supported in part by the National Natural Science Foundation of China under Grant No. 61071077 and the open research fund of National Mobile Communications Research Laboratory, Southeast University under Grant No. 2013D03.

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Authors and Affiliations

  1. School of Computer and Information Technology, BJTU, Beijing Jiaotong University, 1: No.3 Shangyuancun, Haidian district, Beijing, 100044, China

    Jinyu Zhang

  2. School of Economics and Management, BUAA, Beijing, 100191, China

    Yifan Zhang

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  1. Jinyu Zhang
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  2. Yifan Zhang
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Correspondence to Jinyu Zhang.

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Zhang, J., Zhang, Y. QoS-awareness peer coordination control for topology-converging P2P live streaming. Multimed Tools Appl 76, 23835–23858 (2017). https://doi.org/10.1007/s11042-016-4092-9

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  • DOI: https://doi.org/10.1007/s11042-016-4092-9

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