The use of video streaming has been growing rapidly in the recent years and has been utilized in various applications. Many of these applications are latency sensitive, but the latency requirements varies largely from one application to another. The high quality videos captured by cameras are quite large in size, so they are encoded to reduce the video size to achieve a reasonable bandwidth when sent over a network.
In this work, we characterize the latency components of edge video streaming with the goal of identifying latency bottlenecks. In edge applications, the processing is performed at the edge of the network close to data generation, rather than in the cloud, to meet the latency requirements. This work specifically investigates the latencies in the transmit and receive paths in the Linux networking stack, and the impact of encoding parameters on the latency.
|Commitee:||Han, Tao, Tabkhi, Hamed|
|School:||The University of North Carolina at Charlotte|
|School Location:||United States -- North Carolina|
|Source:||MAI 56/04M(E), Masters Abstracts International|
|Keywords:||Edge computing, H.264, Linux networking stack, Video latency|
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