A considerable share of applications such as web or e-mail browsing,
online picture viewing and file downloads imply waiting times
for their users, which is due to the turn-taking of information requests
by the user and correspoding response times until each request
is fulfilled. Thus, end-user quality perception in the context of
interactive data services is dominated by waiting times; the longer
the latter, the less satisfied the user becomes. As opposed to heavily
researched multimedia experience, perception of waiting times is
still not strongly explored in the context of Quality of Experience
(QoE). This tutorial will contribute to closing this gap. In its first
part, it addresses perception principles and discusses their applicability
towards fundamental relationships between waiting times and
resulting QoE. It then investigates to which extent the same relationships
can also be used to describe QoE for more complex services
such as web browsing. Finally, it discusses applications where waiting
times determine QoE, amongst other factors. For example, the
past shift from UDP media streaming to TCP media streaming (e.g.
youtube.com) has extended the relevance of waiting times also to the
domain of online video services. In particular, user-perceived quality
suffers from initial delays when applications are launched, as well as
from freezes during the delivery of the stream. These aspects, which
have to be traded against each other to some extent, will be discussed
mainly for HTTP video streaming in the last part of this tutorial.
%0 Conference Paper
%1 info3-inproceedings-2012-452
%A Egger, Sebastian
%A Hoßfeld, Tobias
%A Schatz, Raimund
%A Fiedler, Markus
%B QoMEX 2012
%C Yarra Valley, Australia
%D 2012
%K myown multinext
%T Waiting Times in Quality of Experience for Web Based Services
%X A considerable share of applications such as web or e-mail browsing,
online picture viewing and file downloads imply waiting times
for their users, which is due to the turn-taking of information requests
by the user and correspoding response times until each request
is fulfilled. Thus, end-user quality perception in the context of
interactive data services is dominated by waiting times; the longer
the latter, the less satisfied the user becomes. As opposed to heavily
researched multimedia experience, perception of waiting times is
still not strongly explored in the context of Quality of Experience
(QoE). This tutorial will contribute to closing this gap. In its first
part, it addresses perception principles and discusses their applicability
towards fundamental relationships between waiting times and
resulting QoE. It then investigates to which extent the same relationships
can also be used to describe QoE for more complex services
such as web browsing. Finally, it discusses applications where waiting
times determine QoE, amongst other factors. For example, the
past shift from UDP media streaming to TCP media streaming (e.g.
youtube.com) has extended the relevance of waiting times also to the
domain of online video services. In particular, user-perceived quality
suffers from initial delays when applications are launched, as well as
from freezes during the delivery of the stream. These aspects, which
have to be traded against each other to some extent, will be discussed
mainly for HTTP video streaming in the last part of this tutorial.
@inproceedings{info3-inproceedings-2012-452,
abstract = {A considerable share of applications such as web or e-mail browsing,
online picture viewing and file downloads imply waiting times
for their users, which is due to the turn-taking of information requests
by the user and correspoding response times until each request
is fulfilled. Thus, end-user quality perception in the context of
interactive data services is dominated by waiting times; the longer
the latter, the less satisfied the user becomes. As opposed to heavily
researched multimedia experience, perception of waiting times is
still not strongly explored in the context of Quality of Experience
(QoE). This tutorial will contribute to closing this gap. In its first
part, it addresses perception principles and discusses their applicability
towards fundamental relationships between waiting times and
resulting QoE. It then investigates to which extent the same relationships
can also be used to describe QoE for more complex services
such as web browsing. Finally, it discusses applications where waiting
times determine QoE, amongst other factors. For example, the
past shift from UDP media streaming to TCP media streaming (e.g.
youtube.com) has extended the relevance of waiting times also to the
domain of online video services. In particular, user-perceived quality
suffers from initial delays when applications are launched, as well as
from freezes during the delivery of the stream. These aspects, which
have to be traded against each other to some extent, will be discussed
mainly for HTTP video streaming in the last part of this tutorial.},
added-at = {2016-03-10T17:38:02.000+0100},
address = {Yarra Valley, Australia},
author = {Egger, Sebastian and Hoßfeld, Tobias and Schatz, Raimund and Fiedler, Markus},
biburl = {https://www.bibsonomy.org/bibtex/29ab00978c59629cc84fa350474eed4ae/uniwue_info3},
booktitle = {QoMEX 2012},
interhash = {34414f4b1597d8762075e6c2f55271f9},
intrahash = {9ab00978c59629cc84fa350474eed4ae},
keywords = {myown multinext},
month = {7},
timestamp = {2022-03-14T00:10:55.000+0100},
title = {Waiting Times in Quality of Experience for Web Based Services},
year = 2012
}