Introducing! Quality of Experience Fairness for Adaptive Video in the Network
Marwan Fayed, Univ of St Andrews
12-1pm 24th Oct 2018
Abstract
"Why is my child getting HD on their phone, while I'm stuck
with SD on my 50" TV?" This type of complaint is among the most common
directed to streaming services such as Netflix and BBC. Recent studies
observe that adaptive video streams, when competing behind a bottleneck
link, generate flows that lead to instability, under-utilization, and
unfairness. Additional measurements suggest there may also be a negative
impact on users' perceived quality of experience as a consequence. The
intuitive response may be, and has been, that application-generated
issues should be resolved by the application. In this presentation I
shall demonstrate that fairness, by any definition, can only be solved
in the network. Moreover, that in an increasingly HTTP-S world, some
form of client interaction is required. In support, a new network-layer
'QoE-fairness' metric will be be introduced that reflects user
experience. Experiments using our open-source implementation in the home
environment reinforce the network-layer as the right place to attack the
general problem.
Refs-
[1] http://dl.ifip.org/db/conf/networking/networking2015/1570066341.pdf
[2] https://dl.acm.org/citation.cfm?id=2940144
Short Bio
Marwan Fayed is a Senior Lecturer at the University of St Andrews.
He received his MA from Boston University and his PhD from the
University of Ottawa, in 2003 and 2009 respectively, and in between
worked at Microsoft as a member of the Core Reliability Group. In 2009
he joined the University of Stirling, UK as Scottish Informatics and
Computer Science Alliance (SICSA) Lecturer, alongside an appointment to
'Theme Leader' for networking research in Scotland, 2014-2016. His
current research interests lie in wireless algorithms, as well as
general network, transport, and measurement in next generation edge
networks. He is a Co-founder and Director of HUBS C.i.C., an ISP that
delivers high quality backhaul to rural and remote networks, is
recipient of an IEEE best paper award, and a Senior Member of both the
IEEE and ACM.