QoE-Driven Service Optimization Aware of the Business Model
Abstract
The fast expansion of Internet-based multimedia services like Netflix, Skype or YouTube - the so-called Over-The-Top Services (OTT) - have increased the quality requirements of these services from the point of view of the user. In this sense, it is important not only to ensure a good Quality of Service (QoS) level - technical metrics - but also a high level of Quality of Experience (QoE) - subjective, user centered metrics - in order to improve the satisfaction level of the customer, and therefore the revenues of the service provider. In this work we present how a formal model of an OTT service can be used in an online monitoring tool intended for the service provider, which aims to detect possible low-quality scenarios of a user. This information is used to take countermeasures in order to avoid the bad-quality configurations, aiming to maximize the final QoE of the user and, therefore, the revenues of the service provider. The proposed methodology consists in four main phases: model the service as an Extended Finite States Machine (EFSM), monitoring the state at the model of the user, calculate the user stories - and its QoE - based on the formal model and the user's actual state, and, use the previously calculated paths to make recommendations aiming to maximize the final QoE of the service.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Qualinet White Paper on Definitions of Quality of Experience
Callet, P. L., Möller, S., Perkis, A., Brunnstrom, K. E., Beker, S., Moor, K. D., Dooms, A., Egger, S., Garcia, M.-N., Hoßfeld, T., et al. (2013) · HAL · Cited by 692 · see citing works
Factors Influencing Quality of Experience
Reiter, U., Brunnstrom, K. E., Moor, K. D., Larabi, M., Pereira, M., Pinheiro, A., You, J., & Žgank, A. (2014) · T-labs series in telecommunication services · doi:10.1007/978-3-319-02681-7_4 · Cited by 205 · see citing works
Metrics for the Internet Age: Quality of Experience and Quality of Business
van, M. (2001) · doi:10.25405/ncl.34126209 · Cited by 164 · see citing works
From Packets to People: Quality of Experience as a New Measurement Challenge
Schatz, R., Hoßfeld, T., Janowski, L., & Egger, S. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-36784-7_10 · Cited by 107 · see citing works
Survey on QoE\QoS Correlation Models For Multimedia ServicesPreprint
Alreshoodi, M. A., & Woods, J. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1306.0221 · Cited by 70 · see citing works
Quality of Service Versus Quality of Experience
Varela, M., Skorin‐Kapov, L., & Ebrahimi, T. (2014) · T-labs series in telecommunication services · doi:10.1007/978-3-319-02681-7_6 · Cited by 60 · see citing works
Estimation of QoE of video traffic using a fuzzy expert system
Pokhrel, J., Wehbi, B., Morais, A., et al. (2013) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2013.6488450 · Cited by 55 · see citing works
QoE Evaluation Based on QoS and QoBiz Parameters Applied to an OTT Service
Rivera, D., Kushik, N., Fuenzalida, C., Cavalli, A., & Yevtushenko, N. (2015) · 2015 IEEE International Conference on Web Services · doi:10.1109/icws.2015.86 · Cited by 11 · see citing works
Self-citationFriedrich, D. A. (2009) · VDM Verlag Dr. Müller eBooks · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2958784 · Cited by 239 · see citing works
- Authors
- Rivera, D., & Cavalli, A.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Venue
- 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)
- Publisher
- IEEE
- Published
- 2016-03
- Volume
- abs 1306 221
- Pages
- 725-730
- OpenAlex
- W2399197508
- Cited by
- 3
- References
- 9
- Citations by year
- 2022: 1 · 2019: 1 · 2016: 1
- FWCI
- 0.23
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Advanced Information Networking and Applications Workshops (WAINA) (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Social Sciences › Sociology and Political Science › Multimedia Communication and Technology
- Physical Sciences › Computer Science › Information Systems › Service-Oriented Architecture and Web Services
- Keywords
- quality of experience, over-the-top services, streaming media, extended finite state machines, online monitoring, service optimization, business models, recommendation generation, user satisfaction
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
