Background and activities
Thomas Zinner is associate professor at IIK since August 2019. Before, he was visiting professor and head of the FG INET at TU Berlin and head of the research group on "Next Generation Networks" at the chair of Communication Networks at the University of Würzburg. He received his diploma in 2006 and his Ph.D. in 2012, both from University of Würzburg. His research interests cover the performance evaluation of emerging network architecture concepts like SDN/NFV as well as QoE-centric network and service management approaches.
- Head of Networking Group@IIK, (2021 - current)
- Associate Professor at Department of Information Security and Communication Technology (IIK), NTNU (2019 - current)
- Visiting Professor, Head of research group INET, TU Berlin (2018 - 2019)
- Research Scientist, Head of research group Next Generation Networks, Chair of Communication Networks, University of Würzburg (2013 - 2018)
- TTM4250 - Advanced Internet Technologies - Networked Systems, Specialization Course
- TTM4502 - Communication Technology, Specialization Project
- TTM4240 - Advanced Network Control and Management
- TTM4905 - Communication Technology, Master's Thesis
Scientific, academic and artistic work
- (2021) HTBQueue: A Hierarchical Token Bucket Implementation for the OMNeT++/INET Framework. arXiv.
- (2021) Discrete-Time Modeling of NFV Accelerators that Exploit Batched Processing. ACM Transactions on Modeling and Performance Evaluation of Computing Systems. vol. 6 (3).
- (2021) Guest Editors Introduction: Special Issue on Advanced Management of Softwarized Networks. IEEE Transactions on Network and Service Management. vol. 18 (1).
- (2020) P4Consist: Towards Consistent P4 SDNs. IEEE Journal on Selected Areas in Communications. vol. 38 (7).
- (2019) Towards Consistent SDNS: A Case for Network State Fuzzing. IEEE Transactions on Network and Service Management.
- (2019) The Power of Composition: Abstracting a Multi-Device SDN Data Path Through a Single API. IEEE Transactions on Network and Service Management.
- (2019) Survey of Performance Acceleration Techniques for Network Function Virtualization. Proceedings of the IEEE.
Part of book/report
- (2021) Using 5G QoS Mechanisms to Achieve QoE-Aware Resource Allocation. 17th International Conference on Network and Service Management, CNSM 2021.
- (2021) AI in 5G Networks: Challenges and Use Cases. Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning.
- (2021) TeraFlow: Secured Autonomic Traffic Management for a Tera of SDN flows. 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit).
- (2020) Using informed access network selection to improve HTTP adaptive streaming performance. MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference.
- (2020) Comparing fixed and variable segment durations for adaptive video streaming: a holistic analysis. MMSys '20: Proceedings of the 11th ACM Multimedia Systems Conference.
- (2020) Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks. ICC 2020 - 2020 IEEE International Conference on Communications (ICC).
- (2020) Linking QoE and Performance Models for DASH-based Video Streaming. Proceedings of the 2020 IEEE Conference on Network Softwarization NetSoft 2020.
- (2019) BBGDASH: A Max-Min Bounded Bitrate Guidance for SDN Enabled Adaptive Video Streaming. 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2019.
- (2019) Web performance pitfalls. PAM: International Conference on Passive and Active Network Measurement.
- (2019) KOMon—Kernel-based Online Monitoring of VNF Packet Processing Times. Proceedings of the 2019 International Conference on Networked Systems.
- (2019) Highlighting the Gap Between Expected and Actual Behavior in P4-enabled Networks. International Symposium on Integrated Network Management, IM 2019.
- (2019) Discrete-Time Modeling of NFV Accelerators that Exploit Batched Processing. Conference on Computer Communications, INFOCOM 2019.
- (2019) Computing QoE-Relevant Adaptive Video Streaming Metrics Using Discrete-Time Analysis. 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN).