Empirical QoE/QoS correlation model based on multiple parameters for VoD flows
Abstract
The Quality of Experience (QoE) determines the user satisfaction degree of communication services. Quantifying the relationship between User QoE and Network Quality of Service (QoS) enables the services providers to estimate the contribution of network performance in overall user satisfaction. Based on the Multiple Linear Regression (MLR) and the exponential hypothesis, we propose in this paper a global correlation model between QoE and QoS. The main contribution of our proposal is the use of a combination of more than one QoS parameter in the model. The proposed method is validated for Video on Demand services where the QoE considers the quality of video and the QoS is impacted with two parameters (delay and loss ratio). According to the experimental results, we obtained a composite correlation model with a good correlation coefficient.
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In the literature, simple-regression models with a single feature are most dominant, although the collective impact of different QoS parameters was also considered.
“In the literature, simple-regression models with a single feature are most dominant [145, 240, 383, 408], although the collective impact of different QoS parameters was also considered [23,132].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [23]
Cites
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The QoE Evaluation Method through the QoS-QoE Correlation Model
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Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036 · see citing works
Measurement of Quality of Experience of Video-on-Demand Services: A Survey
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- Authors
- Aroussi, S., Bouabana-Tebibel, T., & Mellouk, A.
- Affiliations
- National High School of Computer Science, Algiers, Algeria
- Université Paris-Est Créteil (FR)
- Venue
- 2012 IEEE Global Communications Conference (GLOBECOM)
- Publisher
- IEEE
- Published
- 2012-12
- Pages
- 1963-1968
- ISSN
- 1930-529X (ISSN-L)
- OpenAlex
- W2013679316
- Cited by
- 44
- References
- 15
- Citations by year
- 2023: 3 · 2022: 5 · 2021: 3 · 2020: 2 · 2019: 5 · 2018: 6 · 2017: 5 · 2016: 5 · 2015: 4 · 2014: 3 · 2013: 3
- FWCI
- 2.27
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Globecom (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Social Sciences › Sociology and Political Science › Multimedia Communication and Technology
- Keywords
- quality of experience, quality of service, video on demand, multiple linear regression, network latency, packet loss rate, user satisfaction
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