ACQUA: A user friendly platform for lightweight network monitoring and QoE forecasting

Abstract : ACQUA, Application for prediCting QUality of Experience at Internet Access, is an Android application to measure mobile network access performance and to estimate how this performance affects main applications of interest to the end user from Quality of Experience (QoE) viewpoint. Every application supported in ACQUA is a function, or a model, built offline, that links the network-level and device-level measurements to expected Quality of Experience. Supervised machine learning techniques are used to establish such link. Thanks to a lightweight measurement strategy, ACQUA can perform measurements continuously and show to the user, in addition to QoE estimations, measurement results obtained both actively and passively. This way we we can provide insights over time on network performance as well as user-friendly QoE values that explain the state of the network. Finally, ACQUA provides a feedback channel for end users to express themselves about their real QoE, a feedback that we plan to use to assess the importance of the subjectivity of QoE in real life scenarios.
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https://hal.inria.fr/hal-01982749
Contributor : Chadi Barakat <>
Submitted on : Tuesday, January 15, 2019 - 9:58:44 PM
Last modification on : Thursday, February 7, 2019 - 3:34:50 PM

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Othmane Belmoukadam, Thierry Spetebroot, Chadi Barakat. ACQUA: A user friendly platform for lightweight network monitoring and QoE forecasting. QoE-Management 2019 - The 3rd International Workshop on Quality of Experience Management, Feb 2019, Paris, France. ⟨hal-01982749⟩

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