DocumentCode :
3075699
Title :
A Loss-Based Utility Function for Predicting IPTV Quality of Experience over an Overlay Network
Author :
Abdeljaouad, Imad ; Kandavanam, Gajaruban ; Karmouch, Ahmed
Author_Institution :
Sch. of Inf. Technol. & Eng. (SITE), Univ. of Ottawa, Ottawa, ON, Canada
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Internet Protocol Television (IPTV) over broadband networks offers more services and flexibility, such as time-shifted TV and video-on-demand (VoD), than the traditional broadcast TV. Unfortunately, IP offers best effort service and Quality of Service (QoS) is not guaranteed. In order to provide QoS guarantees over the Internet, overlay networks are used. Impairments happening at the network layer such as delays and packet losses significantly affect the quality of the IPTV stream. Hence, a reliable mechanism to monitor the Quality of Experience (QoE) of IPTV users is essential to an IPTV service provider in order to avoid customer churn. It is essential that an IPTV provider be able to monitor the QoE with minimal overhead. Therefore, we propose a utility based QoE monitoring approach based on statistical losses at the application layer. This paper also presents mathematical proofs and simulation results that confirm the suitability and effectiveness of our proposed method.
Keywords :
IPTV; broadband networks; overlay networks; quality of service; statistical analysis; television broadcasting; video on demand; IPTV quality of experience; IPTV service provider; IPTV stream quality; Internet protocol television; QoS; broadband network layer; broadcast TV; loss-based utility function; mathematical proofs; overlay network; packet loss; quality of service; statistical loss; utility based QoE monitoring approach; video-on-demand; Animation; IPTV; Loss measurement; Monitoring; Quality of service; Sensitivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6133919
Filename :
6133919
Link To Document :
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