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OpenFlow-based live video streaming with GENI Cinema

Authors: Ryan Izard; Qing Wang 0047; Benton Kribbs; Joseph Porter; Kuang-Ching Wang; Shashank Gupta; Aditya Prakash 0004; +1 Authors

OpenFlow-based live video streaming with GENI Cinema

Abstract

The use of computer networks to relay streaming multimedia content is on the rise and is expected to continue to increase in the coming years. This paper discusses the use of GENI Cinema as a means to distribute streaming content across different networks at scale. Through the use of OpenFlow, GENI Cinema is able to gain control over the flow and routing of video streams in the network to efficiently and scalably distribute video content from video producers to video consumers. GENI Cinema accomplishes video “channel” switching with minimal perceived delay and no disruption in content to the producers or consumers. A prototype implementation of GENI Cinema on the distributed GENI testbed is discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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