Deutsch Intern
    Lehrstuhl für Informatik III


    • Antons, J.-N., Egger, S., Hoßfeld, T., Möller, S.: Proceedings of The Fifth Workshop on Perceptual Quality of Systems (PQS). ISCA, TU Berlin, Germany (2016).
    • Hoßfeld, T., Chan, G., Mark, B.L., Timm-Giel, A.: Proceedings of The 28th International Teletraffic Congress 2016 (ITC 28). ITC, IEEE, ACM, Würzburg, Germany (2016).
    • Agüero, R., Zinner, T., García-Lozano, M., Wenning, B.-L., Timm-Giel, A.: Mobile Networks and Management. Springer, Santander, Spain (2016).

    Book Chapters

    • Liotou, E., Hoßfeld, T., Moldovan, C., Metzger, F., Tsolkas, D., Passas, N.: The Value of Context-Awareness in Bandwidth-Challenging HTTP Adaptive Streaming Scenarios. In: Ganchev, I., van der Mei, R.D., and van den Berg, H. (eds.) Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools. Springer International Publishing (2018).
    • Arvidsson, A., van den Berg, H., Burakowski, W., Grbac, T.G., Ganchev, I., Haddad, Y., Hoßfeld, T., Key, P., Lassila, P., Leitner, P.: State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services. Autonomous Control for a Reliable Internet of Services. Springer (2018).
    • Archambault, D., Purchase, H.C., Hoßfeld, T.: Evaluation in the Crowd: An Introduction. Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments. Springer, Cham (2017).

    Journal Articles

    • Wassermann, S., Wehner, N., Casas, P.: Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. ACM SIGMETRICS Performance Evaluation Review. 46, 155-158 (2019).
    • Hoßfeld, T., Skorin-Kapov, L., Varela, M., Chen, K.-T.: Guest Editorial: Special Issue on “QoE Management for Multimedia Services”. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). (2018).
    • Hoßfeld, T., Tran-Gia, P., Vukovic, M.: Special issue on crowdsourcing. Computer Networks: The International Journal of Computer and Telecommunications Networking. (2015).

    Conference Papers (Proceedings)

    • Loh, F., Wamser, F., Moldovan, C., Zeidler, B., Hoßfeld, T., Tsilimantos, D., Valentin, S.: From click to playback: a dataset to study the response time of mobile YouTube. Proceedings of the 10th ACM Multimedia Systems Conference. pp. 267-272 (2019).
    • Loh, F., Vomhoff, V., Wamser, F., Metzger, F., Hoßfeld, T.: Traffic Measurement Study on Video Streaming with the Amazon Echo Show. 4th Internet-QoE Workshop: QoE-based Analysis and Management of Data Communication Networks (2019).
    • Wassermann, S., Wehner, N., Casas, P.: Machine Learning Models for YouTube QoE and User Engagement Prediction in Smartphones. Workshop on AI in Networks (WAIN) (2018).

    Research Reports

    • Gebert, S., Zinner, T., Lange, S., Schwartz, C., Tran-Gia, P.: Discrete-Time Analysis: Deriving the Distribution of the Number of Events in an Arbitrarily Distributed Interval. University of Wuerzburg (2016).
    • Seufert, M., Hoßfeld, T., Sperb Machado, G., Bocek, T., Biancani, M., Cruschelli, P., Lapacz, R., Darzanos, G., Papafili, I., Wajda, K.: A Survey of Cloud Services and Potential Applications of Social Awareness. University of Wuerzburg (2015).
    • Schwartz, C., Hoßfeld, T., Lehrieder, F., Tran-Gia, P.: Performance Analysis of the Trade-off Between Signalling Load and Power Consumption for Popular Smartphone Apps in 3G Networks. University of Wuerzburg (2013).


    • Metter, C.: Resilience, Availability, and Serviceability Evaluation in Software-defined Networks, (2019).
    • Lange, S.: Optimization of Controller Placement and Information Flow in Softwarized Networks, (2018).
    • Tran-Gia, P.: Zeitdiskrete Analyse verkehrstheoretischer Modelle in Recher- und Kommunikationssystemen, (1988).