Two dimensional array based overlay network for reducing delay of peer-to-peer live video streaming
Live video streaming is very useful for many events. For example, it can be very useful to make an announcement in an area, which is effected by natural disaster. So it is also very important to provide the live video stream without any time delay if possible. The live video data is stream...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2014
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Subjects: | |
Online Access: | http://irep.iium.edu.my/39006/ http://irep.iium.edu.my/39006/ http://irep.iium.edu.my/39006/1/39006.pdf http://irep.iium.edu.my/39006/4/39006_Two%20dimensional%20array%20based%20overlay%20network%20for%20reducing_Scopus.pdf |
Summary: | Live video streaming is very useful for many
events. For example, it can be very useful to make an
announcement in an area, which is effected by natural disaster.
So it is also very important to provide the live video stream
without any time delay if possible. The live video data is
streaming usually 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 enhances the balance of load and
performance. The overlay network utilizes 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. |
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