Confused, timid, and unstable: Picking a video streaming rate is hard

Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC

Volumn , Issue , 2012, Pages 225-238

  Huang, Te Yuan ^a   Handigol, Nikhil ^a   Heller, Brandon ^a   McKeown, Nick ^a   Johari, Ramesh ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

http based video streaming; video rate adaptation

Indexed keywords

BANDWIDTH ESTIMATION; COMMERCIAL VIDEO; DYNAMIC RATE SELECTION; FEED-BACK LOOP; HIGH QUALITY; INITIAL SOLUTION; LOW QUALITIES; ROOT CAUSE; SELECTION BASED; USER EXPERIENCE; VIDEO RATE ADAPTATION; VIDEO STREAMING SERVICES;

BANDWIDTH; HTTP;

VIDEO STREAMING;

EID: 84870937680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2398776.2398800     Document Type: Conference Paper

References (24)

1. V. Adhikari, Y. Guo, F. Hao, V. Hilt, and Z.-L. Zhang. A Tale of Three CDNs: An Active Measurement Study of Hulu and its CDNs. In Proceedings of IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 7-12, March 2012.
2. V. K. Adhikari, Y. Guo, F. Hao, M. Varvello, V. Hilt, M. Steiner, and Z.-L. Zhang. Unreeling Netflix: Understanding and Improving Multi-CDN Movie Delivery. In Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, pages 1620-1628, March 2012.
3. S. Akhshabi, L. Anantakrishnan, C. Dovrolis, and A. Begen. What Happens When HTTP Adaptive Streaming Players Compete for Bandwidth? In Proceedings of the ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), June 2012.
4. S. Akhshabi, C. Dovrolis, and A. Begen. An Experimental Evaluation of Rate Adaptation Algorithms in Adaptive Streaming over HTTP. In Proceedings of the ACM Multimedia Systems Conference (MMSys), San Jose, CA, USA, Feburary 2011.
5. M. Allman, V. Paxson, and E. Blanton. TCP Congestion Control. RFC 5681 (Draft Standard), Sept. 2009.
6. M. Allman, V. Paxson, and W. Stevens. TCP Congestion Control. RFC 2581 (Proposed Standard), Apr. 1999. Obsoleted by RFC 5681, updated by RFC 3390.
7. MPEG DASH specification (ISO/IEC DIS 23009-1.2), 2011.
8. L. De Cicco, S. Mascolo, and V. Palmisano. Feedback Control for Adaptive Live Video Streaming. In Proceedings of the ACM Multimedia Systems Conference (MMSys), Febrary 2011.
9. F. Dobrian, A. Awan, D. Joseph, A. Ganjam, J. Zhan, V. Sekar, I. Stoica, and H. Zhang. Understanding the Impact of Video Quality on User Engagement. In Proceedings of the ACM SIGCOMM, Toronto, Canada, August 2011.
10. M. Ghobadi, Y. Cheng, A. Jain, and M. Mathis. Trickle: Rate Limiting YouTube Video Streaming. In Proceedings of the USENIX Annual Technical Conference (ATC), page 6, 2012.
11. P. Gill, M. Arlitt, Z. Li, and A. Mahanti. Youtube Traffic Characterization: A View From the Edge. In Proceedings of the ACM SIGCOMM conference on Internet Measurement (IMC), pages 15-28, 2007.
12. L. Kontothanassis. Content Delivery Considerations for Different Types of Internet Video. In Proceedings of the ACM Multimedia Systems Conference (MMSys) - Keynote, Chapel Hill, NC, USA, Febrary 2012.
13. C. Liu, I. Bouazizi, and M. Gabbouj. Parallel Adaptive HTTP Media Streaming. In Proceedings of the IEEE International Conference on Computer Communications and Networks (ICCCN), pages 1-6, 2011.
14. X. Liu, F. Dobrian, H. Milner, J. Jiang, V. Sekar, I. Stoica, and H. Zhang. A Case for a Coordinated Internet Video Control Plane. In Proceedings of the ACM SIGCOMM, Helsinki, Finland, August 2012.
15. J. W. Lockwood, N. McKeown, G. Watson, G. Gibb, P. Hartke, J. Naous, R. Raghuraman, and J. Luo. NetFPGA-An Open Platform for Gigabit-Rate Network Switching and Routing. In MSE '07: Proceedings of the 2007 IEEE International Conference on Microelectronic Systems Education, pages 160-161, 2007.
16. K. Miller, E. Quacchio, G. Gennari, and A. Wolisz. Adaptation algorithm for adaptive streaming over HTTP. In Proceedings of the IEEE International Packet Video Workshop (PV), pages 173-178, May 2012.
17. R. Mok, X. Luo, E. Chan, and R. Chang. QDASH: a QoE-aware DASH system. In Proceedings of the ACM Multimedia Systems Conference (MMSys), pages 11-22, Febrary 2012.
18. Sandvine: Global Internet Phenomena Report. http: //www.sandvine.com/ news/pr-detail.asp?ID=312.
19. A. Rao, A. Legout, Y. Lim, D. Towsley, C. Barakat, and W. Dabbous. Network characteristics of video streaming traffic. In Proceedings of the ACM COnference on emerging Networking EXperiments and Technologies (CONEXT), page 25. ACM, 2011.
20. RTMPDump. http://rtmpdump.mplayerhq.hu/.
21. Consumer Report: Streaming Video Services Rating. http://www. consumerreports.org/cro/magazine/ 2012/09/best-streaming-video-services/.
22. M. Watson. HTTP Adaptive Streaming in Practice. In Proceedings of the ACM Multimedia Systems Conference (MMSys) - Keynote, San Jose, CA, USA, Febrary 2011.
23. S. Xiang, L. Cai, and J. Pan. Adaptive Scalable Video Streaming in Wireless Networks. In Proceedings of the ACM Multimedia Systems Conference (MMSys), pages 167-172, Febrary 2012.
24. M. Zink, K. Suh, Y. Gu, and J. Kurose. Characteristics of YouTube network traffic at a campus network - Measurements, models, and implications. In Computer Networks, Volume 53, Issue 4, pages 501-514. Elsevier, 2009.