Masterthesis
Previous Master Theses
2022[ to top ]
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Investigating the Benefits of Encoding at Runtime for DASH Video Streaming, (2022).
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Evaluation of Graph-based Deep Reinforcement Learning for the TSN Per-Port Latency Assignment Optimization Problem, (2022).
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Implementation and Evaluation of Time-Sensitive Networking Mechanisms in Software with Accelerated Packet Processing Techniques, (2022).
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Performance Evaluation of Feature Representation Transfer Approaches for Video QoE Estimation Across Different Networks, (2022).
2021[ to top ]
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Real-time Video QoE Estimation for Network Management based on Feature Calculation on a 100Gbps Programmable Data Plane, (2021).
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Investigating IoT-centric signaling traffic at the MVNO Mobile Core - Modeling and Classification, (2021).
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Evaluating the Nature-inspired DESYNC Mechanism as an Energy-efficient LoRaWAN MAC, (2021).
2020[ to top ]
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Machine Learning Approach to Predict Video Streaming Behavior at Network Layer, (2020).
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Identification and Evaluation of KPIs in SDN via Simulation for Establishing Topology Classifications and Prediction Models, (2020).
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Prediction of YouTube’s Chunk Request from Monitored Encrypted Network Traffic, (2020).
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Characterisation of the APM in videogames using DOTA 2, (2020).
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Simulation of a 5G Network Infrastructure, (2020).
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Fingerprinting Websites in Encrypted Network Traffic, (2020).
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Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging Applications, (2020).
2019[ to top ]
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Discrete-Event Simulation of a Fully Virtualized Mobile Packet Core, (2019).
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Traffic Measurement Study for Real-Time Video Streaming with a Remote Controllable Drone, (2019).
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Design and Performance Evaluation of NMS-aware SDN Controle Plane Mechanisms, (2019).
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Measurement and Analysis of QoE Influencing Factors for WebRTC, (2019).
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Machine Learning for Synthetically Generated, Adaptive Streaming Data, (2019).
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2017[ to top ]
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Evaluation of Network Monitoring Approaches in Cloud Environments - Experiment and Testbed Design, (2017).