Can accurate predictions improve video streaming in cellular networks?

HotMobile 2015 - 16th International Workshop on Mobile Computing Systems and Applications

Volumn , Issue , 2015, Pages 57-62

  Zou, Xuan Kelvin ^a   Erman, Jeffrey ^b   Gopalakrishnan, Vijay ^b   Halepovic, Emir ^b   Jana, Rittwik ^b   Jin, Xin ^a   Rexford, Jennifer ^a   Sinha, Rakesh K ^b  

^a Princeton University   (United States)

^b AT AND T LABS RESEARCH   (United States)

Author keywords

Adaptation; Algorithm; Cellular; DASH; Design; HTTP; Performance; Prediction; Video streaming

Indexed keywords

ALGORITHMS; DESIGN; FORECASTING; HTTP; MOBILE COMPUTING; VIDEO STREAMING; WIRELESS NETWORKS;

ACCURATE PREDICTION; ADAPTATION; BANDWIDTH PREDICTION; CELLULAR; DASH; ESTIMATION APPROACHES; PERFORMANCE; STABILIZATION FUNCTION;

BANDWIDTH;

EID: 84942425262     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2699343.2699359     Document Type: Conference Paper

References (15)

1. Mobile throughput guidance signaling protocol. https://tools.ietf.org/id/draft-flinck-mobile-throughput-guidance-00.txt.
2. A. Balachandran, V. Sekar, A. Akella, S. Seshan et al. Developing a predictive model of quality of experience for internet video. In Proceedings of ACM SIGCOMM, 2013.
3. J. Chen, A. Ghosh, J. Magutt, and M. Chiang. QAVA: Quota Aware Video Adaptation. In Proceedings of ACM CoNEXT, 2012.
4. J. Chen, R. Mahindra, M. A. Khojastepour, S. Rangarajan, and M. Chiang. A Scheduling Framework for Adaptive Video Delivery over Cellular Networks. In Proceedings of ACM MobiCom, 2013.
5. Cisco. Cisco visual networking index: Forecast and methodology, 2013-2018, 2014. http://tinyurl.com/mev32z8.
6. Citrix. Mobile analytics report, 2014. http://tinyurl.com/n4qvgnf.
7. J. Erman, A. Gerber, K. K. Ramakrishnan, S. Sen, and O. Spatscheck. Over the Top Video: The Gorilla in Cellular Networks. In Proceedings of ACM IMC, 2011.
8. T.-Y. Huang, R. Johari, N. McKeown, M. Trunnell, and M. Watson. A Buffer-Based Approach to Rate Adaptation: Evidence from a Large Video Streaming Service. In Proceedings of ACM SIGCOMM, 2014.
9. J. Jiang, X. Liu, V. Sekar, I. Stoica, and H. Zhang. EONA: Experience-oriented network architecture. In Proceedings ACM HotNets, 2014.
10. J. Jiang, V. Sekar, and H. Zhang. Improving Fairness, Efficiency, and Stability in HTTP-based Adaptive Video Streaming with FESTIVE. In Proceedings of ACM CoNEXT, 2012.
11. R. Margolies, A. Sridharan, V. Aggarwal, R. Jana et al. Exploiting mobility in proportional fair cellular scheduling: Measurements and algorithms. In Proceedings of IEEE INFOCOM, 2014.
12. R. K. P. Mok, X. Luo, E. W. W. Chan, and R. K. C. Chang. QDASH: A QoE-aware DASH System. In Proceedings of ACM MMSys, 2012.
13. A. J. Nicholson and B. D. Noble. Breadcrumbs: Forecasting mobile connectivity. In Proceedings of ACM MobiCom, 2008.
14. Q. Xu, S. Mehrotra, Z. Mao, and J. Li. Proteus: Network performance forecast for real-time, interactive mobile applications. In Proceeding of ACM MobiSys, 2013.
15. X. Yin, V. Sekar, and B. Sinopoli. Toward a principled framework to design dynamic adaptive streaming algorithms over http. In Proceedings ACM HotNets, 2014.