Experience-Centric Mobile Video Scheduling Through Machine Learning

Volume: 7, Pages: 113017 - 113030
Published: Jan 1, 2019
Abstract
Providing a high quality video streaming experience in a mobile data network via the ubiquitous HTTP Adaptive Streaming (HAS) protocol is challenging. This is largely because HAS traffic arrives as regular Internet Protocol (IP) packets, indistinguishable from those of other data services. This paper presents real-time network-based Machine Learning (ML) classifiers incurring low overhead and capable of (a) detecting the service type of...
Paper Details
Title
Experience-Centric Mobile Video Scheduling Through Machine Learning
Published Date
Jan 1, 2019
Volume
7
Pages
113017 - 113030
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