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Deutsch Intern
    Lehrstuhl für Informatik III

    Internet Applications

    We conduct research in relation to Internet applications: we evaluate applications, we model Internet applications. A frequently-performed investigation is the study of user satisfaction (Quality of Experience) with a particular Internet application.

    Best Paper Award auf der CNSM 2018

    Best Demonstration Award auf der TMA 2018

    Demo @ IEEE/IFIP NOMS 2018: QoE Monitoring of the Native Android YouTube App

    Related Projects

    Mobi-QoE  (Monitoring and Analysis of Quality of Experience in Mobile Broadband Networks, EU H2020)

    The objective of Mobi-QoE is to extend MONROE’s testbed to the QoE domain by integrating novel software-based QoE-capable measurement tools and QoE models for popular end-user services (e.g., YouTube, Facebook, Spotify).

    SmartQoE(Measurement Concept and Trendscouting for QoE in Mobile Context)

    The focus of the project "SmartQoE" is on three major goals: 1. Development of a measurement concept to measure QoE-relevant application data with a smartphone app, 2. Analysis of collected data with respect to QoE criteria, 3. Trendscouting for QoE in mobile networks.

    DFG QoE-DZ(Analysis and Optimization of the Trade-off between QoE and Energy-Efficiency in Data Centers)

    This project focuses on quantifying and adjusting the trade-off between QoE and energy-efficiency in data centers for highly relevant use cases. An interesting use case for the interconnection between data centers, QoE, and energy-efficiency that is considered to have an increasing impact in the following years, are Virtual Desktop Infrastructures (VDIs). A VDI enables users to use very lightweight systems, e.g., so-called thin clients, whereby the actual operating system including all computations and software runs in a data center.

    Related Research Areas

    Research Area: YouTube Video Streaming

    YouTube is one of the most popular services in today’s Internet. It has more than 1 billion users and every day people watch hundreds of millions of hours of YouTube videos. Half of those YouTube views are on mobile devices. On the one hand, (mobile) operators want to handle the huge amount of video traffic as efficiently as possible (high revenue per bit), on the other hand, they want to deliver a high Quality of Experience (QoE) to satisfy their customers. Therefore, it is very important for operators to understand the performance of their networks with respect to YouTube traffic.

    Research Area: Social Network Analysis

    In online social networks (OSNs) users voluntarily provide information about themselves, their interests, their friends and their activities, especially about their current situation or exceptional events. Nowadays these so called social signals are ubiquitous and can not only be collected from OSNs (e.g., friendships, interests, trust-relevant metadata), but also from applications (e.g., messaging or call patterns) and sensors (e.g., location). Social awareness harvests these signals, extracts useful and re-usable information (e.g., users’ social relationships, activity patterns, and interests), and exploits them in order to improve a service.

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    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Twitter. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

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    Lehrstuhl für Informatik III (Kommunikationsnetze)
    Am Hubland
    97074 Würzburg

    Phone: +49 931 31-86631
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