Bridging the Gap Between QoE and User Engagement in HTTP Video
Streaming
C. Moldovan, and F. Metzger. 28th International Teletraffic Congress (ITC 28), Würzburg, Germany, (September 2016)
Abstract
On video streaming platforms, users expect a high QoE. In contrast, service
and content providers aim at high User Engagement, most notably because
their revenue is usually dependent on it. In order to satisfy users, it is
critical to know how QoE is related to the User Engagement. However, no
model for this relation exists yet. Current approaches to managing QoE are
usually based on traffic analysis. However, in the future Internet this
will become more difficult since the encryption of Internet traffic
progresses.
In this paper, we present an approach to bringing QoE and User Engagement
together with video streaming as the use case. We do this by fitting
existing measurement data of User Engagement to obtain a model.
Furthermore, we extend the existing queuing model for QoE and investigate
the correlation between QoE and User Engagement in a simulation. Hereby, we
model different scenarios where we quantify network bandwidth and video
requirements.
Our results show that there is a strong correlation between QoE and User
Engagement. Additionally, we observe that simple buffer policies that do
not rely on buffer information can still perform well. These revelations
open the way for new approaches to QoE Management in the future Internet.
%0 Conference Paper
%1 Moldovan2016
%A Moldovan, Christian
%A Metzger, Florian
%B 28th International Teletraffic Congress (ITC 28)
%C Würzburg, Germany
%D 2016
%K itc itc28
%T Bridging the Gap Between QoE and User Engagement in HTTP Video
Streaming
%U https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Moldovan2016.pdf?inline=true
%X On video streaming platforms, users expect a high QoE. In contrast, service
and content providers aim at high User Engagement, most notably because
their revenue is usually dependent on it. In order to satisfy users, it is
critical to know how QoE is related to the User Engagement. However, no
model for this relation exists yet. Current approaches to managing QoE are
usually based on traffic analysis. However, in the future Internet this
will become more difficult since the encryption of Internet traffic
progresses.
In this paper, we present an approach to bringing QoE and User Engagement
together with video streaming as the use case. We do this by fitting
existing measurement data of User Engagement to obtain a model.
Furthermore, we extend the existing queuing model for QoE and investigate
the correlation between QoE and User Engagement in a simulation. Hereby, we
model different scenarios where we quantify network bandwidth and video
requirements.
Our results show that there is a strong correlation between QoE and User
Engagement. Additionally, we observe that simple buffer policies that do
not rely on buffer information can still perform well. These revelations
open the way for new approaches to QoE Management in the future Internet.
@inproceedings{Moldovan2016,
abstract = {On video streaming platforms, users expect a high QoE. In contrast, service
and content providers aim at high User Engagement, most notably because
their revenue is usually dependent on it. In order to satisfy users, it is
critical to know how QoE is related to the User Engagement. However, no
model for this relation exists yet. Current approaches to managing QoE are
usually based on traffic analysis. However, in the future Internet this
will become more difficult since the encryption of Internet traffic
progresses.
In this paper, we present an approach to bringing QoE and User Engagement
together with video streaming as the use case. We do this by fitting
existing measurement data of User Engagement to obtain a model.
Furthermore, we extend the existing queuing model for QoE and investigate
the correlation between QoE and User Engagement in a simulation. Hereby, we
model different scenarios where we quantify network bandwidth and video
requirements.
Our results show that there is a strong correlation between QoE and User
Engagement. Additionally, we observe that simple buffer policies that do
not rely on buffer information can still perform well. These revelations
open the way for new approaches to QoE Management in the future Internet.},
added-at = {2016-08-31T16:30:53.000+0200},
address = {Würzburg, Germany},
author = {Moldovan, Christian and Metzger, Florian},
biburl = {https://www.bibsonomy.org/bibtex/26b0a6a6ac75b8dec782e93c4ba4ebf55/itc},
booktitle = {28th International Teletraffic Congress (ITC 28)},
days = {12},
interhash = {7c264c7d2fc1e8b07f5dfc9f241668c8},
intrahash = {6b0a6a6ac75b8dec782e93c4ba4ebf55},
keywords = {itc itc28},
month = {Sept},
timestamp = {2020-05-26T16:53:35.000+0200},
title = {Bridging the Gap Between QoE and User Engagement in HTTP Video
Streaming},
url = {https://gitlab2.informatik.uni-wuerzburg.de/itc-conference/itc-conference-public/-/raw/master/itc28/Moldovan2016.pdf?inline=true},
year = 2016
}