Deutsch Intern
    Lehrstuhl für Informatik III

    Research Area: QoE Monitoring in the Cloud

    QoE Monitoring with VNFs (Virtual Network Functions) in the Cloud

      In order to consider Quality of Experience (QoE) for orchestration and consolidation in a cloud management architecture, proper QoE monitoring functions are required. They can be applied either in long term or short term management components and provide the platform with information about the service quality perceived by the end users.

      The component is able to monitor all the video flows passing through from the streaming server to the client. We use a proxy program to route video traffic to the VNF. The video traffic from the streaming server is captured by our component. It is a software which utilizes a Python or C++ library, namely Scapy and libpcap. These open source software libraries provide real time packet sniffing and decoding. To analyze the video flows, we designed an algorithm, which eventually provides us with an estimated video buffer, stalling frequency and length based on download timestamps of video segments. The QoE for video streaming is calculated based on a reference QoE model. To validate the estimated values, we simultaneously sample the video buffer, stalling frequency and length at the client browser by using a Javascript-based web API. The discrepancy between the estimated and actual values shows the level of accuracy of the monitoring. More details of the estimation algorithm can be found in the publications.

    Researchers:

    Dr. Florian Wamser,
    Lam Dinh-Xuan

    Publications

    2017

    • Seufert, M., Wehner, N., Wamser, F., Casas, P.: YouTube QoE Monitoring with YoMoApp: a Mobile App for Crowdsourced YouTube QoE Analysis, (2017).
       
    • Schwind, A., Seufert, M., Alay, Ö., Casas, P., Tran-Gia, P., Wamser, F.: Concept and Implementation of Video QoE Measurements in a Mobile Broadband Testbed. IEEE/IFIP Workshop on Mobile Network Measurement (MNM’17). , Dublin, Ireland (2017).
       
    • Seufert, M., Zach, O., Slanina, M., Tran-Gia, P.: Unperturbed Video Streaming QoE Under Web Page Related Context Factors. 9th International Conference on Quality of Multimedia Experience (QoMEX). , Erfurt, Germany (2017).
       
    • Seufert, M., Wehner, N., Wamser, F., Casas, P., D'Alconzo, A., Tran-Gia, P.: Unsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp. 9th International Conference on Quality of Multimedia Experience (QoMEX). , Erfurt, Germany (2017).
       

    Student Works and Theses

    2018

    • Gensler, T.: QoE Measurements for Facebook and Spotify in a Mobile Broadband Testbed, (2018).
       

    2017

    • Seufert, M., Wehner, N., Wamser, F., Casas, P.: YouTube QoE Monitoring with YoMoApp: a Mobile App for Crowdsourced YouTube QoE Analysis, (2017).
       
    • Wehner, N.: Unsupervised QoE Field Study for Mobile YouTube Video Streaming with YoMoApp, (2017).
       
    • Schwind, A.: Concept and Implementation of QoE Measurements in a Mobile Broadband Testbed, (2017).
       

    2016

    • Zeidler, B.: Comparison of Machine Learning Approaches for YouTube Video Adaptation Estimation on Encrypted Traffic, (2016).
       
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