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Item

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Traffic Statistics Measurement of Video Streaming in Software Defined Network

http://hdl.handle.net/20.500.12678/0000006344
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ed1ec338-62f0-48cc-9f9e-0b7d109e9038
None
Name / File License Actions
Traffic Traffic Statistics Measurement of Video Streaming in Software Defined Network.pdf (1.4 Mb)
© 2018 ICAIT
Publication type
Conference paper
Upload type
Publication
Title
Title Traffic Statistics Measurement of Video Streaming in Software Defined Network
Language en
Publication date 2018-11-02
Authors
Hla Myo Su
Aung Htein Maw
Description
Video streaming is the dominant internet traffic. It is becoming the most popular content delivery mechanism for media services. Multiple video streams will compete for bandwidth, thus leading to degrading performance and impacting the received quality of experience (QoE). Software Defined Networking (SDN) provides a significant advantage because it is easier to introduce and tune up new functionalities. The logically-centralized control of OpenFlow brings to the operators the flexible and convenient controllability over the underlying networks. In this paper, it gets traffic statistics at each video streaming host and proposes the video streaming framework to enhance user QoE. It uses OpenFlow features to get traffic statistics from network devices. That is showing the end to end average throughput and port statistics of streamed video traffic over Mininet emulated OpenFlow networks. The experimental results of traffic statistics can be beneficially applied in the network when the network congested conditions occurred and it should be carefully interpreted considering between the clients for enhancing video streaming.
Keywords
Video Streaming, SDN, OpenFlow
Conference papers
ICAIT-2018
1-2 November, 2018
2nd International Conference on Advanced Information Technologies
Yangon, Myanmar
Wireless and Software Defined Networking
https://www.uit.edu.mm/icait-2018/
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