QoE optimization of ON/OFF video streaming strategy in wireless networks

IFIP Wireless Days

Volumn 2016-April, Issue , 2016, Pages

  Bouzian, Mohamed ^a   Bouhtou, Mustapha ^a   En Najjary, Taoufik ^a   Sassatelli, Lucile ^b   Urvoy Keller, Guillaume ^b  

^a ORANGE LABS   (France)

^b UNIVERSITÉ CÔTE D'AZUR   (France)

Author keywords

Markov chain; ON OFF strategy; QoE; startup delay; starvation; video streaming

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; MARKOV PROCESSES; PROBABILITY; WIRELESS NETWORKS;

FIXED-LINE OPERATORS; MOBILE OPERATORS; ON/OFF STRATEGY; SERVER PUSHES; STARVATION; STARVATION PROBABILITIES; TWO-DIMENSION; VIDEO TRAFFIC;

VIDEO STREAMING;

EID: 84966546052     PISSN: 21569711     EISSN: 2156972X     Source Type: Conference Proceeding    
DOI: 10.1109/WD.2016.7461494     Document Type: Conference Paper

References (16)

1. Florence Agboma and Antonio Liotta. Qoe-aware qos management. In Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia, pages 111-116. ACM, 2008.
2. Rao Ashwin, Lim Yeon-sup, Barakat Chadi, Legout Arnaud, Towsley Don, and Dabbous Walid. Network characteristics of video streaming traffic. ACM CoNEXT, 2011.
3. Dimitri P Bertsekas, Robert G Gallager, and Pierre Humblet. Data networks, volume 2. Prentice-Hall International New Jersey, 1992.
4. M.A. Hoque, M. Siekkinen, J.K. Nurminen, and M. Aalto. Dissecting mobile video services: An energy consumption perspective. In World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a, pages 1-11, June 2013.
5. Tobias Hoßfeld, Florian Liers, Raimund Schatz, Barbara Staehle, Dirk Staehle, Thomas Volkert, and Florian Wamser. Quality of experience management for youtube: Clouds, fog and the aquareyoum. PIK-Praxis der Informationsverarbeitung und Kommunikation, 35(3):133, 2012.
6. Te-Yuan Huang, Ramesh Johari, Nick McKeown, Matthew Trunnell, and Mark Watson. A buffer-based approach to rate adaptation: evidence from a large video streaming service. In ACM SIGCOMM 2014 Conference, SIGCOMM'14, Chicago, IL, USA, August 17-22, 2014, pages 187-198, 2014.
7. Parikshit Juluri, Louis Plissonneau, and Deep Medhi. Pytomo: A tool for analyzing playback quality of youtube videos. In 23rd International Teletraffic Congress, ITC 2011, San Francisco, CA, USA, September 6-9, 2011, pages 304-305, 2011.
8. Yao Liu, Fei Li, Lei Guo, Bo Shen, and Songqing Chen. A comparative study of android and ios for accessing internet streaming services. pages 104-114, in PAM 2013.
9. R Timothy Marler and Jasbir S Arora. Survey of multi-objective optimization methods for engineering. Structural and multidisciplinary optimization, 26(6):369-395, Springer, 2004.
10. Hyunwoo Nam, Bong Ho Kim, Doru Calin, and Henning G Schulzrinne. Mobile video is inefficient: A traffic analysis. Technical report, Department of Computer Science, Columbia University, 2013.
11. Ali ParandehGheibi, Muriel Médard, Asuman Ozdaglar, and Srinivas Shakkottai. Avoiding interruptions - a qoe reliability function for streaming media applications. IEEE Journal on Selected Areas in Communications, 29(5):1064-1074, 2011.
12. Ashwin Rao, Arnaud Legout, Yeon-sup Lim, Don Towsley, Chadi Barakat, and Walid Dabbous. Network characteristics of video streaming traffic. In Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies, page 25. ACM, 2011.
13. M. Siekkinen, M.A. Hoque, and J.K. Nurminen. Using viewing statistics to control energy and traffic overhead in mobile video streaming. Networking, IEEE/ACM Transactions on, PP(99):1-15, 2015.
14. Tstat. Tcp statistic and analysis tool, 2014. http://http://tstat.polito.it/index.shtml.
15. Wikipedia. Gershgorin circle theorem, June 2014. http://en.wikipedia.org/wiki/Gershgorin-circle-theorem.
16. Yuedong Xu, Salah Eddine Elayoubi, Eitan Altman, and Rachid El-Azouzi. Impact of flow-level dynamics on qoe of video streaming in wireless networks. In INFOCOM, 2013 Proceedings IEEE, pages 2715-2723. IEEE, 2013.