The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Measuring the quality of experience of HTTP video streaming
Abstract
HTTP video streaming, such as Flash video, is widely deployed to deliver stored media. Owing to TCP's reliable service, the picture and sound quality would not be degraded by network impairments, such as high delay and packet loss. However, the network impairments can cause rebuffering events which would result in jerky playback and deform the video's temporal structure. These quality degradations could adversely affect users' quality of experience (QoE). In this paper, we investigate the relationship among three levels of quality of service (QoS) of HTTP video streaming: network QoS, application QoS, and user QoS (i.e., QoE). Our ultimate goal is to understand how the network QoS affects the QoE of HTTP video streaming. Our approach is to first characterize the correlation between the application and network QoS using analytical models and empirical evaluation. The second step is to perform subjective experiments to evaluate the relationship between application QoS and QoE. Our analysis reveals that the frequency of rebuffering is the main factor responsible for the variations in the QoE.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kohler, E., Morris, R., Chen, B., Jannotti, J., & Kaashoek, M. F. (2000) · ACM Transactions on Computer Systems · doi:10.1145/354871.354874 · Cited by 2,413
CUBIC: a new TCP-friendly high-speed TCP variant
Ha, S., Rhee, I., & Xu, L. (2008) · ACM SIGOPS Operating Systems Review · doi:10.1145/1400097.1400105 · Cited by 2,287
Modeling TCP Reno performance: a simple model and its empirical validation
Padhye, J., Firoiu, V., Towsley, D. F., & Kurose, J. F. (2000) · IEEE/ACM Transactions on Networking · doi:10.1109/90.842137 · Cited by 1,184
Simple Network Management Protocol-SNMP
(2003) · Network Tutorial · doi:10.1201/9781482280876-123 · Cited by 1,158
Multimedia streaming via TCP: An analytic performance study
Wang, B., Kurose, J., Shenoy, P., & Towsley, D. (2008) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/1352012.1352020 · Cited by 185
Wu, W., Arefin, A., Rivas, R., Nahrstedt, K., Sheppard, R., & Yang, Z. (2009) · Proceedings of the 17th ACM international conference on Multimedia · doi:10.1145/1631272.1631338 · Cited by 178
TCP Performance Implications of Network Path Asymmetry
Balakrishnan, H., Padmanabhan, V. N., Fairhurst, G., & Sooriyabandara, M. (2002) · doi:10.17487/rfc3449 · Cited by 126
Temporal Aspect of Perceived Quality in Mobile Video Broadcasting
Huynh‐Thu, Q., & Ghanbari, M. (2008) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2008.2001246 · Cited by 125
Compound TCP: A scalable and TCP-friendly congestion control for high-speed networks
Kun, T. J., Song, Zhang, Q., & Sridharan, M. (2006) · Cited by 118
Receiver buffer requirement for video streaming over TCP
Kim, T., & Ammar, M. (2006) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.643583 · Cited by 41
Cited by
Measurement of Quality of Experience of Video-on-Demand Services: A Survey
Juluri, P., Tamarapalli, V., & Medhi, D. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2401424 · Cited by 229
Design and Evaluation of a Self-Learning HTTP Adaptive Video Streaming Client
Claeys, M., Latre, S., Famaey, J., & De Turck, F. (2014) · IEEE Communications Letters · doi:10.1109/lcomm.2014.020414.132649 · Cited by 111
Empirical study based on machine learning approach to assess the QoS/QoE correlation
Mushtaq, M. S., Augustin, B., & Mellouk, A. (2012) · 2012 17th European Conference on Networks and Optical Communications · doi:10.1109/noc.2012.6249939 · Cited by 100
Network Resource Allocation System for QoE-Aware Delivery of Media Services in 5G Networks
Martin, A., Egana, J., Florez, J., Montalban, J., Olaizola, I. G., Quartulli, M., Viola, R., & Zorrilla, M. (2018) · IEEE Transactions on Broadcasting · doi:10.1109/tbc.2018.2828608 · Cited by 99
Abbas, N., Hajj, H., Dawy, Z., Jahed, K., & Sharafeddine, S. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.01.008 · Cited by 19
Metadata
- Authors
- Mok, R. K. P., Chan, E. W. W., & Chang, R. K. C.
- Venue
- 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops
- Publisher
- IEEE
- Published
- 2011-05
- Pages
- 485-492
- OpenAlex
- W1970200030
- Cited by
- 473
- References
- 12
- FWCI
- 25.59
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Measuring the quality of experience of HTTP video streaming. https://app.cochat.ai/papers/10.1109/inm.2011.5990550
- The paper
- Mok, R. K. P., Chan, E. W. W., & Chang, R. K. C. (2011). Measuring the quality of experience of HTTP video streaming. 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops. https://doi.org/10.1109/inm.2011.5990550
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
