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Monitoring IPTV quality of experience in overlay networks using utility functions

Authors:

Imad Abdeljaouad,

Ahmed KarmouchAuthors Info & Claims

Journal of Network and Computer Applications, Volume 54, Issue C

Pages 1 - 10

https://doi.org/10.1016/j.jnca.2015.04.006

Published: 01 August 2015 Publication History

Abstract

Service Overlay Networks (SONs) allow new, complex services to be created without the need to alter the underlying physical infrastructure. They represent a strong candidate for delivering IPTV services over the Internet s best effort service. The dynamic nature of overlays in terms of freedom of nodes to join and leave the network, and frequent changes in network conditions make their management a tedious, time consuming task. This paper proposes a manager election and selection scheme to elect nodes that will monitor and analyze IPTV Quality of Experience (QoE) delivered over overlay networks. Then, a simple, yet effective, utility function is proposed to analyze the monitored data in order to infer IPTV QoE based on Quality of Service (QoS) parameters. We assess the performance of the proposed schemes using simulations.

References

[1]

Abdeljaouad I, Karmouch A. Self-organizing overlay networks for autonomic manager selection. In: 2012 IEEE international conference on communications (ICC). IEEE; Ottawa, ON, 2012. p. 6437-41.

[2]

Al-Oqily I, Karmouch A. A self-organizing composition towards autonomic overlay networks. In: IEEE network operations and management symposium, 2008. NOMS 2008. IEEE; Salvador, Bahia, 2008. p. 287-294.

[3]

I. Al-Oqily, A. Karmouch, Sord: a fault-resilient service overlay for mediaport resource discovery, IEEE Trans Parallel Distrib Syst, 20 (2009) 1112-1125.

Digital Library

[4]

D. Andersen, H. Balakrishnan, F. Kaashoek, R. Morris, Resilient overlay networks, ACM SIGCOMM Comput Commun Rev, 32 (2002).

Digital Library

[5]

J. Asghar, F. Le Faucheur, I. Hood, Preserving video quality in iptv networks, IEEE Trans Broadcast, 55 (2009) 386-395.

[6]

S. Balasubramaniam, J. Mineraud, P. McDonagh, P. Perry, L. Murphy, W. Donnelly, An evaluation of parameterized gradient based routing with qoe monitoring for multiple iptv providers, IEEE Trans Broadcast, 57 (2011) 183-194.

[7]

Baumgart I, Heep B. Fast but economical: a simulative comparison of structured peer-to-peer systems. In: 2012 8th EURO-NGI conference on next generation internet (NGI). IEEE; Karlskrona, 2012. p. 87-94.

[8]

Baumgart I, Heep B, Krause S. Oversim: a flexible overlay network simulation framework. In: IEEE global internet symposium, 2007. IEEE; Anchorage, AK, 2007. p. 79-84.

[9]

Bishop MA, Rao SG, Sripanidkulchai K. Considering priority in overlay multicast protocols under heterogeneous environments. In: INFOCOM; 2006. p. 1-13.

[10]

P. Brooks, B. Hestnes, User measures of quality of experience: why being objective and quantitative is important, Network, IEEE, 24 (2010) 8-13.

Digital Library

[11]

Bustamante FE, Qiao Y. Friendships that last: peer lifespan and its role in p2p protocols. In: Web content caching and distribution. Springer; Norwell, MA, 2004. p. 233-46.

Digital Library

[12]

Ciszkowski T, Eliasson C, Fiedler M, Kotulski Z, Lupu R, Mazurczyk W. Secmon: end-to-end quality and security monitoring system. Ann UMCS, Inf 2008;8:185-201.

Digital Library

[13]

Dabek F, Zhao B, Druschel P, Kubiatowicz J, Stoica I. Towards a common api for structured peer-to-peer overlays. In: Peer-to-peer systems II. Springer; Berlin Heidelberg, 2003. p. 33-44.

[14]

D. De Vleeschauwer, K. Laevens, Performance of caching algorithms for iptv on-demand services, IEEE Trans Broadcast, 55 (2009) 491-501.

[15]

Z. Duan, Z.-L. Zhang, Y.T. Hou, Service overlay networks: Slas, qos, and bandwidth provisioning, IEEE/ACM Trans Netw, 11 (2003) 870-883.

Digital Library

[16]

M. Fiedler, T. Hossfeld, P. Tran-Gia, A generic quantitative relationship between quality of experience and quality of service, Network, IEEE, 24 (2010) 36-41.

Digital Library

[17]

J. Gao, P. Steenkiste, Design and evaluation of a distributed scalable content discovery system, IEEE J Sel Areas Commun, 22 (2004) 54-66.

Digital Library

[18]

Gu X, Nahrstedt K, Chang RN, Ward C. Qos-assured service composition in managed service overlay networks. In: Proceedings of the 23rd international conference on distributed computing systems, 2003. IEEE; Providence, RI, 2003. p. 194-201.

Digital Library

[19]

MV Group. Video filtering and compression. URL {http://www.compression.ru/video/index.htm}; 2013.

[20]

Kandavanam G, Botvich D, Balasubramaniam S. An optimization based approach to maximizing qos assurance for iptv triple play services on the internet backbone. In: IEEE 34th conference on local computer networks, 2009. LCN 2009. IEEE; 2009. p. 406-13.

[21]

Kwon JC, Jang SH, Chin Y, Oh S-J. A novel video quality impairment monitoring scheme over an ipty service with packet loss. In: Second international workshop on quality of multimedia experience (QoMEX), 2010. IEEE; Trondheim, 2010. p. 224-9.

[22]

G.M. Lee, C.S. Lee, W.S. Rhee, J.K. Choi, Functional architecture for ngn-based personalized iptv services, IEEE Trans Broadcast, 55 (2009) 329-342.

[23]

Z. Li, P. Mohapatra, Qron: Qos-aware routing in overlay networks, IEEE J Sel Areas Commun, 22 (2004) 29-40.

Digital Library

[24]

J. Maisonneuve, M. Deschanel, J. Heiles, W. Li, H. Liu, R. Sharpe, An overview of iptv standards development, IEEE Trans Broadcast, 55 (2009) 315-328.

[25]

Maymounkov P, Mazieres D. Kademlia: a peer-to-peer information system based on the xor metric. In: Peer-to-peer systems. Springer; London, UK, 2002. p. 53-65.

Digital Library

[26]

G.-M. Muntean, P. Perry, L. Murphy, Performance comparison of local area video streaming systems, Commun Lett IEEE, 8 (2004) 326-328.

[27]

G.-M. Muntean, P. Perry, L. Murphy, A comparison-based study of quality-oriented video on demand, IEEE Trans Broadcast, 53 (2007) 92-102.

[28]

Nguyen-Vuong Q-T, Ghamri-Doudane Y, Agoulmine N. On utility models for access network selection in wireless heterogeneous networks. In: IEEE network operations and management symposium, 2008. NOMS 2008. IEEE; 2008. p. 144-51.

[29]

S. Ratnasamy, P. Francis, M. Handley, R. Karp, S. Shenker, ACM, New York, NY, 2001.

[30]

Rodrigues R, Blake C. When multi-hop peer-to-peer lookup matters. In: Peer-to-peer systems III. Springer; Berlin Heidelberg, 2005. p. 112-22.

Digital Library

[31]

Rowstron A, Druschel P. Pastry: Scalable, decentralized object location, and routing for large-scale peer-to-peer systems. In: Middleware 2001. Springer; 2001. p. 329-50.

Digital Library

[32]

Sackl A, Zwickl P, Reichl P. From quality of experience to willingness to pay for interconnection service quality. In: Networking 2012 workshops. Springer; Berlin Heidelberg, 2012. p. 89-96.

Digital Library

[33]

N. Samaan, A. Karmouch, A mobility prediction architecture based on contextual knowledge and spatial conceptual maps, IEEE Trans Mob Comput, 4 (2005) 537-551.

Digital Library

[34]

Saroiu S, Gummadi PK, Gribble SD. Measurement study of peer-to-peer file sharing systems. In: Electronic imaging 2002. International Society for Optics and Photonics; 2001. p. 156-70.

[35]

I.T.U.T.S. Sector. Methods for subjective determination of transmission quality. International Telecommunication Union; 1996.

[36]

N. Staelens, S. Moens, W. Van den Broeck, I. Marien, B. Vermeulen, P. Lambert, Assessing quality of experience of iptv and video on demand services in real-life environments, IEEE Trans Broadcast, 56 (2010) 458-466.

[37]

Stamoulis GD, Kalopsikakis D, Kyrikoglou A. Efficient agent-based negotiation for telecommunications services. In: Global telecommunications conference, 1999. GLOBECOM¿99, vol. 3. IEEE; Rio de Janeireo, 1999. p. 1989-96.

[38]

Stoica I, Morris R, Karger D, Kaashoek MF, Balakrishnan H. Chord: a scalable peer-to-peer lookup service for internet applications. In: ACM SIGCOMM computer communication review, vol. 31. ACM; New York, NY, 2001. p. 149-60.

Digital Library

[39]

A.S. University. Yuv video sequences. URL {http://trace.eas.asu.edu/yuv/}; 2013.

[40]

Van den Branden Lambrecht CJ, Verscheure O. Perceptual quality measure using a spatiotemporal model of the human visual system. In: Electronic imaging: science & technology. International Society for Optics and Photonics; 1996. p. 450-61.

[41]

Varga A, 2001. The omnet++ discrete event simulation system. In: Proceedings of the European simulation multiconference (ESM¿2001), vol. 9; 2001. p. 185.

[42]

VQEG. Video quality experts group (vqeg) - its. URL {http://www.its.bldrdoc.gov/vqeg/www.its.bldrdoc.gov/vqeg/}; 2013.

[43]

Wahlmueller S, Zwickl P, Reichl P. Pricing and regulating quality of experience. In: 2012 8th EURO-NGI conference on next generation internet (NGI). IEEE; Karlskrona, 2012. p. 57-64.

[44]

Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity, IEEE Trans Image Process, 13 (2004) 600-612.

Digital Library

[45]

S. Winkler, Digital video quality: vision models and metrics, John Wiley & Sons, 2005.

[46]

B.Y. Zhao, L. Huang, J. Stribling, S.C. Rhea, A.D. Joseph, J.D. Kubiatowicz, Tapestry: a resilient global-scale overlay for service deployment, IEEE J Sel Areas Commun, 22 (2004) 41-53.

Digital Library

Cited By

Ahmad AAtzori L(2020)MNO-OTT Collaborative Video Streaming in 5G: The Zero-Rated QoE Approach for Quality and Resource ManagementIEEE Transactions on Network and Service Management10.1109/TNSM.2019.294271617:1(361-374)Online publication date: 10-Mar-2020
https://dl.acm.org/doi/10.1109/TNSM.2019.2942716
Floris AAhmad AAtzori L(2018)QoE-Aware OTT-ISP Collaboration in Service ManagementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318351714:2s(1-24)Online publication date: 25-Apr-2018
https://dl.acm.org/doi/10.1145/3183517
Ahmad AFloris AAtzori L(2016)QoE-centric service deliveryComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2016.09.022110:C(168-179)Online publication date: 9-Dec-2016
https://dl.acm.org/doi/10.1016/j.comnet.2016.09.022
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Monitoring IPTV quality of experience in overlay networks using utility functions

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Published In

cover image Journal of Network and Computer Applications

Journal of Network and Computer Applications Volume 54, Issue C

August 2015

107 pages

ISSN:1084-8045

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Copyright © Elsevier Ltd.

Publisher

Academic Press Ltd.

United Kingdom

Publication History

Published: 01 August 2015

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Cited By

Ahmad AAtzori L(2020)MNO-OTT Collaborative Video Streaming in 5G: The Zero-Rated QoE Approach for Quality and Resource ManagementIEEE Transactions on Network and Service Management10.1109/TNSM.2019.294271617:1(361-374)Online publication date: 10-Mar-2020
https://dl.acm.org/doi/10.1109/TNSM.2019.2942716
Floris AAhmad AAtzori L(2018)QoE-Aware OTT-ISP Collaboration in Service ManagementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/318351714:2s(1-24)Online publication date: 25-Apr-2018
https://dl.acm.org/doi/10.1145/3183517
Ahmad AFloris AAtzori L(2016)QoE-centric service deliveryComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2016.09.022110:C(168-179)Online publication date: 9-Dec-2016
https://dl.acm.org/doi/10.1016/j.comnet.2016.09.022
Senthil Kumar KRamkumar D(2016)Combined Genetic and Fuzzy Approach for Shortest Path Routing Problem in Ad hoc NetworksWireless Personal Communications: An International Journal10.1007/s11277-015-3130-790:2(609-623)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s11277-015-3130-7
Poongodi PKumareshan N(2016)Analysis of Dynamic Overlay Architecture for the Quality of Experience (QoE) Improvement in Wireless NetworksWireless Personal Communications: An International Journal10.1007/s11277-015-3080-090:2(503-514)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s11277-015-3080-0

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