Home > Research > Publications & Outputs > Quality Evaluation in Peer-to-Peer IPTV Services
View graph of relations

Quality Evaluation in Peer-to-Peer IPTV Services

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Published

Standard

Quality Evaluation in Peer-to-Peer IPTV Services. / Mu, Mu; Knowles, William; Georgopoulos, Panagiotis; Simpson, Steven; Cerqueira, Eduardo; Race, Nicholas; Mauthe, Andreas; Hutchison, David.

Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. ed. / Ernst Biersack; Christian Callegari; Maja Matijasevic. Berlin : Springer, 2013. p. 302-319 (Lecture Notes in Computer Science; Vol. 7754).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Mu, M, Knowles, W, Georgopoulos, P, Simpson, S, Cerqueira, E, Race, N, Mauthe, A & Hutchison, D 2013, Quality Evaluation in Peer-to-Peer IPTV Services. in E Biersack, C Callegari & M Matijasevic (eds), Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. Lecture Notes in Computer Science, vol. 7754, Springer, Berlin, pp. 302-319. https://doi.org/10.1007/978-3-642-36784-7_12

APA

Mu, M., Knowles, W., Georgopoulos, P., Simpson, S., Cerqueira, E., Race, N., ... Hutchison, D. (2013). Quality Evaluation in Peer-to-Peer IPTV Services. In E. Biersack, C. Callegari, & M. Matijasevic (Eds.), Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience (pp. 302-319). (Lecture Notes in Computer Science; Vol. 7754). Berlin: Springer. https://doi.org/10.1007/978-3-642-36784-7_12

Vancouver

Mu M, Knowles W, Georgopoulos P, Simpson S, Cerqueira E, Race N et al. Quality Evaluation in Peer-to-Peer IPTV Services. In Biersack E, Callegari C, Matijasevic M, editors, Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. Berlin: Springer. 2013. p. 302-319. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-36784-7_12

Author

Mu, Mu ; Knowles, William ; Georgopoulos, Panagiotis ; Simpson, Steven ; Cerqueira, Eduardo ; Race, Nicholas ; Mauthe, Andreas ; Hutchison, David. / Quality Evaluation in Peer-to-Peer IPTV Services. Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience. editor / Ernst Biersack ; Christian Callegari ; Maja Matijasevic. Berlin : Springer, 2013. pp. 302-319 (Lecture Notes in Computer Science).

Bibtex

@inbook{96c0e673b84343eebee00cd50dfdef24,
title = "Quality Evaluation in Peer-to-Peer IPTV Services",
abstract = "Modern IPTV services are comprised of multiple comprehensive service elements in the entire content delivery chain to maximise the efficiency in networking. Audio-visual content may experience various types of impairments during content ingest, processing, distribution and reception.While some impairments do not cause noticeable distortions to the delivered content, many others such as the network transmission loss can be highly detrimental to the user experience in content consumption. In order to optimise service quality and to provide a benchmarking platform to evaluate the designs for future audio-visual content distribution system, a quality evaluation framework is essential. We introduce such an evaluation framework to assess video service with respect of user perception, while supporting service diagnosis to identify root-causes of any detected quality degradation. Compared with existing QoE frameworks, our solution offers an advanced but practical design for the real-time analysis of IPTV services in multiple service layers.",
keywords = "Quality of Experience, IPTV, Peer-to-Peer, Living Lab",
author = "Mu Mu and William Knowles and Panagiotis Georgopoulos and Steven Simpson and Eduardo Cerqueira and Nicholas Race and Andreas Mauthe and David Hutchison",
year = "2013",
doi = "10.1007/978-3-642-36784-7_12",
language = "English",
isbn = "978-3-642-36783-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "302--319",
editor = "Ernst Biersack and Christian Callegari and Maja Matijasevic",
booktitle = "Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience",

}

RIS

TY - CHAP

T1 - Quality Evaluation in Peer-to-Peer IPTV Services

AU - Mu, Mu

AU - Knowles, William

AU - Georgopoulos, Panagiotis

AU - Simpson, Steven

AU - Cerqueira, Eduardo

AU - Race, Nicholas

AU - Mauthe, Andreas

AU - Hutchison, David

PY - 2013

Y1 - 2013

N2 - Modern IPTV services are comprised of multiple comprehensive service elements in the entire content delivery chain to maximise the efficiency in networking. Audio-visual content may experience various types of impairments during content ingest, processing, distribution and reception.While some impairments do not cause noticeable distortions to the delivered content, many others such as the network transmission loss can be highly detrimental to the user experience in content consumption. In order to optimise service quality and to provide a benchmarking platform to evaluate the designs for future audio-visual content distribution system, a quality evaluation framework is essential. We introduce such an evaluation framework to assess video service with respect of user perception, while supporting service diagnosis to identify root-causes of any detected quality degradation. Compared with existing QoE frameworks, our solution offers an advanced but practical design for the real-time analysis of IPTV services in multiple service layers.

AB - Modern IPTV services are comprised of multiple comprehensive service elements in the entire content delivery chain to maximise the efficiency in networking. Audio-visual content may experience various types of impairments during content ingest, processing, distribution and reception.While some impairments do not cause noticeable distortions to the delivered content, many others such as the network transmission loss can be highly detrimental to the user experience in content consumption. In order to optimise service quality and to provide a benchmarking platform to evaluate the designs for future audio-visual content distribution system, a quality evaluation framework is essential. We introduce such an evaluation framework to assess video service with respect of user perception, while supporting service diagnosis to identify root-causes of any detected quality degradation. Compared with existing QoE frameworks, our solution offers an advanced but practical design for the real-time analysis of IPTV services in multiple service layers.

KW - Quality of Experience

KW - IPTV

KW - Peer-to-Peer

KW - Living Lab

U2 - 10.1007/978-3-642-36784-7_12

DO - 10.1007/978-3-642-36784-7_12

M3 - Chapter

SN - 978-3-642-36783-0

T3 - Lecture Notes in Computer Science

SP - 302

EP - 319

BT - Data Traffic Monitoring and Analysis: From Measurement, Classification and Anomaly Detection to Quality of Experience

A2 - Biersack, Ernst

A2 - Callegari, Christian

A2 - Matijasevic, Maja

PB - Springer

CY - Berlin

ER -