Assessing Quality of Experience of Video Streaming Applications via Crowdsourcing

Graduate Thesis uoadl:1324481 388 Read counter

Unit:
Τομέας Επικοινωνιών και Επεξεργασίας Σήματος
Library of the School of Science
Deposit date:
2016-09-03
Year:
2016
Author:
Κυριαζάνος Δημήτριος
Supervisors info:
Λάζαρος Μεράκος
Original Title:
Assessing Quality of Experience of Video Streaming Applications via Crowdsourcing
Languages:
English
Translated title:
Αξιολόγηση της Ποιότητας Εμπειρίας σε Εφαρμογές Βίντεο Συνεχούς Ροής μέσω Crowdsourcing
Summary:
For decades, Quality of Service has been the dominant metric by which the
capabilities of
a network are determined. Recently though another metric, Quality of
Experience, has
gained significant traction and is steadily becoming the standard, as it has
been proven to
depict the satisfaction rate of the subscribers much more accurately.
Naturally, challenges have risen relating to his new methodology. The means to
produce
credible results in a financially viable way is the main one, as some
traditional techniques
such as controlled experiments in a laboratory can only be utilized in a
limited capacity. A
possible solution to this problem is crowdsourcing, which essentially is the
process of
conducting experiments via special online platforms. Test subjects around the
world
willingly participate in these experiments for a small monetary compensation.
This paper focuses on presenting the principles of Quality of Experience along
with the
key differences with Quality of Service, describes in detail the proper use of
crowdsourcing
and examines whether it is a suitable source of user feedback, by conducting
several test
cases regarding specific aspects of the quality of a network, as experienced by
the
subscribers.
Keywords:
Quality of Experience, Crowdsourcing, Stalling, Adaptive Streaming, Streaming Video
Index:
Yes
Number of index pages:
7-9
Contains images:
Yes
Number of references:
8
Number of pages:
75
document.pdf (2 MB) Open in new window