Deutsch Intern
    Chair of Computer Science III

    AI-based approaches to identify Web QoE key performance indicators in the network (WebQKAI)

    Partner Austrian Institute of Technology (AIT)
    Funded period October 2019 - July 2020

    Dr. Michael Seufert
    Nikolas Wehner M.Sc.

    Project Description

    The objective of the “WebQKAI” project is to infer web QoE key performance indicators (KPIs) from data collected by network devices, which provide insights for operators with respect to network operations and maintenance. Therefore, relevant and important network scenarios have to be investigated in this project. Here, the term web QoE applies to the QoE of web accesses in web browsers or mobile apps initiated by humans or other applications. The goal of the project is to estimate the web QoE in specific scenarios with high accuracy.