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Dissertation/Thesis Abstract

Characterizing Latencies of Edge Video Streaming
by Balhaj, Mohamed, M.S., The University of North Carolina at Charlotte, 2017, 64; 10280746
Abstract (Summary)

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.

Indexing (document details)
Advisor: Ravindran, Arun
Commitee: Han, Tao, Tabkhi, Hamed
School: The University of North Carolina at Charlotte
Department: Electrical Engineering
School Location: United States -- North Carolina
Source: MAI 56/04M(E), Masters Abstracts International
Subjects: Computer Engineering
Keywords: Edge computing, H.264, Linux networking stack, Video latency
Publication Number: 10280746
ISBN: 978-1-369-75311-0
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