Abstract
Video streaming over wireless broadband is currently re-
sponsible for half of the world-wide mobile data traffic and
its share is expected to even further increase. Therefore,
mobile operators need to understand how Quality of Ex-
perience (QoE) of mobile video streaming is impacted by
through the network delivery. Due to HTTP video stream-
ing used by video portals like YouTube or NetFlix, problems
or insufficient resources in the networks manifest as stalling
events during service consumption on an end user device. In
this paper, we discuss the challenges for QoE monitoring for
HTTP-based mobile video regarding three aspects. First,
the impact of different patterns in terms of stalling event
frequency and length on QoE is quantified on behalf of a
study on YouTube. Second, we evaluate predictive power
of aggregate measures like total stalling time. Third, we
discuss the resulting consequences and challenges for mobile
video QoE modeling, monitoring and provisioning.
Users
Please
log in to take part in the discussion (add own reviews or comments).