ABSTRACT
Despite all the efforts devoted to improving the QoS of networked multimedia services, the baseline for such improvements has yet to be defined. In other words, although it is well recognized that better network conditions generally yield better service quality, the exact minimum level of network QoS required to ensure satisfactory user experience remains an open question.
In this paper, we propose a general, cheat-proof framework that enables researchers to systematically quantify the minimum QoS needs for real-time networked multimedia services. Our framework has two major features: 1) it measures the quality of a service that users find intolerable by intuitive responses and therefore reduces the burden on experiment participants; and 2) it is cheat-proof because it supports systematic verification of the participants' inputs. Via a pilot study involving 38 participants, we verify the efficacy of our framework by proving that even inexperienced participants can easily produce consistent judgments. In addition, by cross-application and cross-service comparative analysis, we demonstrate the usefulness of the derived QoS thresholds. Such knowledge will serve important reference in the evaluation of competitive applications, application recommendation, network planning, and resource arbitration.
Supplemental Material
- F. Agboma and A. Liotta. User centric assessment of mobile contents delivery. In Proceedings of the 6th Advances in Mobile Multimedia, pages 121--130, Dec. 2006.Google Scholar
- S. Blake, D. Black, M. Carlson, E. Davies, Z. Wang, and W. Weiss. An architecture for differentiated services. RFC 2475, 1998.Google Scholar
Digital Library
- J. M. Bland and D. G. Altman. Multiple significance tests: the Bonferroni method. British Medical Journal, 310:170--170, 1995.Google Scholar
Cross Ref
- A. Bouch and M. A. Sasse. Network quality of service: What do users need? In Proceedings of the 4th International Distributed Conference, pages 21--23, 1999.Google Scholar
- R. Braden, D. Clark, and S. Shenkar. Integrated services in the Internet architecture: an overview. RFC 1633, 1994.Google Scholar
Digital Library
- Y.-C. Chang, K.-T. Chen, C.-C. Wu, C.-J. Ho, and C.-L. Lei. Online game QoE evaluation using paired comparisons. In Proceedings of IEEE CQR 2010, June 2010.Google Scholar
Cross Ref
- W. Chang Feng, F. Chang, W. Chi Feng, and J. Walpole. A traffic characterization of popular on-line games. IEEE/ACM Transactions on Networking, 13(3):488--500, June 2005. Google Scholar
Digital Library
- K.-T. Chen, C.-J. Chang, C.-C. Wu, Y.-C. Chang, and C.-L. Lei. Quadrant of Euphoria: A crowdsourcing platform for QoE assessment. IEEE Network, 2010. Google Scholar
Digital Library
- K.-T. Chen, C.-C. Wu, Y.-C. Chang, and C.-L. Lei. A crowdsourceable QoE evaluation framework for multimedia content. In Proceedings of ACM Multimedia 2009, 2009. Google Scholar
Digital Library
- P. de Cuetos and K. W. Ross. Adaptive rate control for streaming stored fine-grained scalable video. In Proceedings of ACM NOSSDAV'02, pages 3--12, 2002. Google Scholar
Digital Library
- J. Howe. The rise of crowdsourcing. Wired Magazine, 14(6):176--183, 2006.Google Scholar
- P. Hsueh, P. Melville, and V. Sindhwani. Data quality from crowdsourcing: a study of annotation selection criteria. In Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing, pages 27--35. Association for Computational Linguistics, 2009. Google Scholar
Digital Library
- T.-Y. Huang, K.-T. Chen, and P. Huang. Tuning the redundancy control algorithm of Skype for user satisfaction. In Proceedings of IEEE INFOCOM 2009, April 2009.Google Scholar
- T.-Y. Huang, P. Huang, K.-T. Chen, and P.-J. Wang. Can Skype be more satisfying? -- a QoE-centric study of the FEC mechanism in the internet-scale VoIP system. IEEE Network, 2010. Google Scholar
Digital Library
- ITU-T Recommandation P. 800. Methods for subjective determination of transmission quality, 1996.Google Scholar
- ITU-T Recommendation G.107. The E-model, a computational model for use in transmission planning, 2005.Google Scholar
- ITU-T Recommendation G.114. General recommendations on the transmission quality for an entire international telephone connection - one-way transmission time, 2003.Google Scholar
- R. Jain. Quality of experience. IEEE Multimedia, 11(1):96--97, Jan.-March 2004. Google Scholar
Digital Library
- J. K. Kies. A psychophysical evaluation of frame rate in desktop video conferencing. In Proceedings of the Human Factors and Ergonomics Society 41st Annual Meeting, pages 310--314, 1997.Google Scholar
Cross Ref
- Y. Lee, J. Lou, J. Luo, and X. Shen. An efficient packet scheduling algorithm with deadline guarantees for input-queued switches. IEEE/ACM Transactions on Networking, 15(1):212--225, 2007. Google Scholar
Digital Library
- Y. J. Liang, N. Farber, and B. Girod. Adaptive playout scheduling and loss concealment for voice communication over IP networks. IEEE Transactions on Multimedia, 5:532--543, 2003. Google Scholar
Digital Library
- J. D. McCarthy, M. A. Sasse, and D. Miras. Sharp or smooth?: Comparing the effects of quantization vs. frame rate for streamed video. In Proceedings of CHI 2004, pages 535--542, Mar. 2004. Google Scholar
Digital Library
- D. Miras. A survey of network QoS needs of advanced internet applications. Technical report, Internet2 QoS Working Group, 2002.Google Scholar
- S. Nowak and S. Rüger. How reliable are annotations via crowdsourcing: a study about inter-annotator agreement for multi-label image annotation. In Proceedings of the international conference on Multimedia information retrieval, pages 557--566. ACM, 2010. Google Scholar
Digital Library
- L. Pantel and L. C. Wolf. On the suitability of dead reckoning schemes for games. In Proceedings of ACM NetGames'02, 2002. Google Scholar
Digital Library
- A. Parasuraman, V. A. Zeithaml, and L. L. Berry. Alternative scales for measuring service quality: a comparative assessment based on psychometric and diagnostic criteria. Journal of Retailing, 70(3):201--230, 1994.Google Scholar
Cross Ref
- Z. Qiao, L. Sun, N. Heilemann, and E. Ifeachor. A new method for VoIP quality of service control use combined adaptive sender rate and priority marking. In Proceedings of IEEE ICC'04, pages 1473--1477, 2004.Google Scholar
- B. Sat and B. W. Wah. Playout scheduling and loss-concealments in VoIP for optimizing conversational voice communication quality. In Proceedings of ACM Multimedia'07, pages 137--146, 2007. Google Scholar
Digital Library
- C. J. Sreenan, J.-C. Chen, P. Agrawal, and B. Narendran. Delay reduction techniques for playout buffering. IEEE Transactions on Multimedia, 2:88--100, 2000. Google Scholar
Digital Library
- S. Stevens. Mathematics, measurement, and psychophysics. Handbook of experimental psychology, pages 1--49, 1951.Google Scholar
- F. Wilcoxon. Individual comparisons by ranking methods. Biometrics, 1:80--83, 1945.Google Scholar
Cross Ref
- C.-C. Wu, K.-T. Chen, C.-Y. Huang, and C.-L. Lei. An empirical evaluation of VoIP playout buffer dimensioning in Skype, Google Talk, and MSN Messenger. In Proceedings of ACM NOSSDAV 2009, 2009. Google Scholar
Digital Library
Index Terms
- Quantifying QoS requirements of network services: a cheat-proof framework
Recommendations
Granular differentiated queueing services for QoS: structure and cost model
One weakness of DiffServ is the lack of granularity for QoS guaranteed services, which makes it difficult to cost-effectively support end-to-end (e2e) QoS according to the e2e situation (e.g., path lengths) of applications. With the conventional packet-...
Integrating network QoS and web QoS to provide end-to-end QoS
ACOS'06: Proceedings of the 5th WSEAS international conference on Applied computer scienceTo provide end-to-end QoS guarantees, it is not sufficient to provide QoS in the network layer or in the web servers alone. This paper analyzes and studies web QoS and network QoS, and proposes a scheme which considers both network QoS and web QoS. The ...
Comments