#9981. Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling
September 2026 | publication date |
Proposal available till | 25-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Social Sciences (all);
Arts and Humanities (miscellaneous); |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
Abstract:
This paper addresses the problem of Quality of Experience (QoE) monitoring for web browsing. In particular, the inference of common Web QoE metrics such as Speed Index (SI) is investigated. Based on a large dataset collected with open web-measurement platforms on different device-types, a unique feature set is designed and used to estimate the RUMSI - an efficient approximation to SI, with machinelearning based regression and classification approaches.
Keywords:
machine learning; qoe monitoring; rnn; web qoe
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