Two Dimensional Array Based Overlay Network for Reducing Delay of Peer-to-Peer Live Video Streaming

被引:0
|
作者
Ibn Ibrahimy, Abdullah Faruq [1 ]
Anwar, Farhat [1 ]
Ibn Ibrahimy, Muhammad [1 ]
Islam, Md Rafiqul [1 ]
机构
[1] Int Islamic Univ Malaysia, Kulliyyah Engn, Dept Elect & Comp Engn, Jalan Gombak, Kuala Lumpur 53100, Malaysia
关键词
peer to peer; overlay network; live video streaming;
D O I
10.1109/ICCCE.2014.61
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Live video streaming is very helpful for many incidents. For example, it can be very helpful to make an announcement in an area, which is effected by natural disaster. So it is also very essential to deliver the live video stream without any time delay if achievable. The live video data is streaming commonly in a tree-based overlay network or in a mesh-based overlay network. In case of departure of a peer with additional upload bandwidth, the overlay network becomes very vulnerable to churn. In this paper, a two dimensional array-based overlay network is proposed for streaming the live video stream data. As there is always a peer or a live video streaming server to upload the live video stream data, so the overlay network is very stable and very robust to churn. Peers are placed according to their upload and download bandwidth, which improves the balance of load and performance. The overlay network uses the additional upload bandwidth of peers to minimize chunk delivery delay and to maximize balance of load. The procedure, which is used for distributing the additional upload bandwidth of the peers, distributes the additional upload bandwidth to the heterogeneous strength peers in a fair treat distribution approach and to the homogeneous strength peers in a uniform distribution approach. The proposed overlay network has been simulated by QualNet from Scalable Network Technologies and results are presented in this paper. Both maximum delay and average delay has decreased compared to Fast-Mesh overlay network. The percentage change in both of maximum and average delay time are below 30%, even though the number of nodes increases 10 times.
引用
收藏
页码:185 / 188
页数:4
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