Take off a Load: Load-Adjusted Video Quality Prediction and Measurement

de Fréin, Ruairí (2015) Take off a Load: Load-Adjusted Video Quality Prediction and Measurement. 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, to appear. pp. 1-10.

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Abstract

An algorithm for predicting the quality of video received by a client from a shared server is presented. A statistical model for this client-server system, in the presence of other clients, is proposed. Our contribution is that we explicitly account for the interfering clients, namely the load. Once the load on the system is understood, accurate client-server predictions are possible with an accuracy of 12.4% load adjusted normalized mean absolute error. We continue by showing that performance measurement is a challenging sub-problem in this scenario. Using the correct measure of prediction performance is crucial. Performance measurement is miss-leading, leading to potential over-confidence in the results, if the effect of the load is ignored. We show that previous predictors have over (and under) estimated the quality of their prediction performance by up to 50% in some cases, due to the use of an inappropriate measure. These predictors are not performing as well as stated for about 60% of the service levels predicted. In summary we achieve predictions which are ≈50% more accurate than previous work using just ≈2% of the data to achieve this performance gain –a significant reduction in computational complexity results.

Item Type: Article
Additional Information: @article{rdefrein15DASCTake, author={Ruair\’{i} de Fr\’{e}in$ˆ\dagger$ $ˆ{\dagger\dagger}$}, journal={2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, to appear}, title={Take off a Load: Load-Adjusted Video Quality Prediction and Measurement}, year={2015}, pages={9}, month={Oct},}
Departments or Groups: Telecommunications Software and Systems Group
Divisions: School of Science > Department of Computing, Maths and Physics
Depositing User: Ruairi De Frein
Date Deposited: 23 Aug 2016 11:27
Last Modified: 23 Aug 2016 11:27
URI: http://repository.wit.ie/id/eprint/3166

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