Intern
Lehrstuhl für Informatik III

Masterthesis

Previous Master Theses

2024[ to top ]
  • 1.
    Baur, C.: Divide and Conquer: A Performant Approximation for Two-Dimensional Markov Models, (2024).
2023[ to top ]
  • 1.
    Karsai, C.: Automated Detection of Operator Outages based on Mobile Signalling Data, (2023).
  • 1.
    Simonovski, F.: Measurement Study of the Performance and Energy Efficiency of an IoT-Edge-Cloud in Kubernetes, (2023).
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    Sichermann, M.: Analyzing Delays in Mobile Roaming: Towards Understanding the Global IPX Network, (2023).
2022[ to top ]
  • 1.
    Leidinger, F.: Evaluation of Graph-based Deep Reinforcement Learning for the TSN Per-Port Latency Assignment Optimization Problem, (2022).
  • 1.
    Seybold, J.: Implementation and Evaluation of Time-Sensitive Networking Mechanisms in Software with Accelerated Packet Processing Techniques, (2022).
  • 1.
    Ceanuri Devesa, J.K.: Performance Evaluation of Feature Representation Transfer Approaches for Video QoE Estimation Across Different Networks, (2022).
  • 1.
    Spangenberger, M.: Investigating the Benefits of Encoding at Runtime for DASH Video Streaming, (2022).
2021[ to top ]
  • 1.
    Raffeck, S.: Evaluating the Nature-inspired DESYNC Mechanism as an Energy-efficient LoRaWAN MAC, (2021).
  • 1.
    Vomhoff, V.: Investigating IoT-centric signaling traffic at the MVNO Mobile Core - Modeling and Classification, (2021).
  • 1.
    Schüler, J.: Real-time Video QoE Estimation for Network Management based on Feature Calculation on a 100Gbps Programmable Data Plane, (2021).
2020[ to top ]
  • 1.
    Plesker, F.: Simulation of a 5G Network Infrastructure, (2020).
  • 1.
    Berani, S.: Fingerprinting Websites in Encrypted Network Traffic, (2020).
  • 1.
    Dietz, K.: Identification and Evaluation of KPIs in SDN via Simulation for Establishing Topology Classifications and Prediction Models, (2020).
  • 1.
    Poignée, F.: Machine Learning Approach to Predict Video Streaming Behavior at Network Layer, (2020).
  • 1.
    Janiak, L.: Potential Traffic Savings by Leveraging Proximity of Communication Groups in Mobile Messaging Applications, (2020).
  • 1.
    Stulier, N.: Characterisation of the APM in videogames using DOTA 2, (2020).
  • 1.
    Tönsing, L.: Prediction of YouTube’s Chunk Request from Monitored Encrypted Network Traffic, (2020).
2019[ to top ]
  • 1.
    Ott, S.: Design and Performance Evaluation of NMS-aware SDN Controle Plane Mechanisms, (2019).
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    Prantl, T.: Machine Learning for Synthetically Generated, Adaptive Streaming Data, (2019).
  • 1.
    Popp, C.: Measurement and Analysis of QoE Influencing Factors for WebRTC, (2019).
  • 1.
    Smietanka, O.: Discrete-Event Simulation of a Fully Virtualized Mobile Packet Core, (2019).
  • 1.
    Morell, M.: Traffic Measurement Study for Real-Time Video Streaming with a Remote Controllable Drone, (2019).
2018[ to top ]
  • 1.
    Sommer, M.: Implementation of a Fuzzing Framework for SDN Security Analysis, (2018).
  • 1.
    Stubenrauch, F.: On the Practicability of SDN in a University Network, (2018).
  • 1.
    Knapp, T.: Performance Evaluation of DASH Streaming with Real Time Encoding and Continuous Quality Levels, (2018).
  • 1.
    Gensler, T.: Concept an Implementation of QoE Measurements for Audio Streaming in Spotify, (2018).
  • 1.
    Steurer, F.: Design and Simulative Evaluation of Data-Driven Scheduling Algorithms for Crowdsourcing Tasks, (2018).
2017[ to top ]
  • 1.
    Loh, F.: Performance Evaluation of Service Chains in Cloud Networks Using Discrete-Time Analysis, (2017).
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    Pfaff, B.: Evaluation of a Distributed Control Plane for Managing Heterogeneous SDN and Legacy Networks, (2017).
  • 1.
    Beutel, A.: Integration of SDN Performance Monitoring in existing Network Management Software, (2017).
  • 1.
    Schwind, A.: Concept and Implementation of QoE Measurements in a Mobile Broadband Testbed, (2017).
  • 1.
    Allendorf, F.: Assessing the Impact of Network Impairments on the Performance of Players in DOTA 2, (2017).
  • 1.
    Tüchert, A.: Influence of loading delays on the perceived quality of web-based enterprise portals, (2017).
  • 1.
    Wehner, N.: Simulative Evaluation of the QoE Fairness of HAS Adaptation Logics, (2017).
  • 1.
    Pfaffenberger, F.: Evaluation of Network Monitoring Approaches in Cloud Environments - Experiment and Testbed Design, (2017).
  • 1.
    Kamneng Kwam, B.: Performance Evaluation of Placement Algorithms for Service Chains, (2017).
  • 1.
    Meixner, M.: Methods for Assessment of Multi-objective Optimization Algorithms with Application in the Context of SDN, (2017).
2016[ to top ]
  • 1.
    Geissler, S.: Mining Vulnerability Databases for Information on Hypervisor Vulnerabilities: Analyses and Predictions, (2016).
  • 1.
    Fischer, V.: Emulation Framework for the Subjective Evaluation of Delays in Web and Business Applications, (2016).
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    Scholz, M.: Einflussnahme zeitlicher und sozialer Muster auf die Effizienz von Caching, (2016).
  • 1.
    Filar, K.: Evaluation of Energy Efficiency Measurements for Virtualized Network Functions, (2016).
  • 1.
    Morgan, B.: Simulative Evaluation of Scheduling Mechanisms in Data Centers, (2016).
  • 1.
    Müssig, A.: Comparison of State Synchronization Strategies for a Cloud-based Firewall VNF, (2016).
  • 1.
    Schwarzmann, S.: Measurement-based Comparison of Different Application-Network Interaction Approaches, (2016).
  • 1.
    Helmschrott, F.: Measurement-based Performance Assessment of the QUIC Web Transport Protocol, (2016).
  • 1.
    Grigorjew, A.: Optimization of Virtual Network Function Chain Placement, (2016).
  • 1.
    Höfner, S.: Evaluation of Orchestration and Access Principles for Cloud Applications, (2016).
2015[ to top ]
  • 1.
    Galster, C.: Cost-efficient Navigation in Complex Networks, (2015).
  • 1.
    Kuhn, N.: Analysis of the Correlation between the Qualification of Crowdsourcing Workers and their Social Network Relationships, (2015).
  • 1.
    Seith, A.: Gamified Subjective Assessment of Influence and Trust in Online Social Networks, (2015).
  • 1.
    Oberste-Vorth, S.: Measurement-based Performance Comparison of SDN-related Northbound APIs, (2015).
  • 1.
    Schnappauf, J.: Investigation of the Virtualized Network Function Traffic Shaping, (2015).
  • 1.
    Frances Pajo, J.: Simulation Framework for Live Migration of Online Games towards the Edge, (2015).
  • 1.
    Ehrmann, K.: Assessment of Event-Driven Impact on HTTP Live Streaming, (2015).
  • 1.
    Kiermeier, F.X.: Interaction of Dynamic Adaptive Streaming over HTTP and Concurrent HTTP Applications, (2015).
  • 1.
    Rachor, C.: Testbed-based RAS Evaluation in SDN using ONOS, (2015).
  • 1.
    Gray, N.: Implementation of a Simulation Framework for Distributed SDN-Controller Architectures in OMNeT++, (2015).
  • 1.
    Iffländer, L.: Performance Assessement of Service Migration Strategies, (2015).
  • 1.
    Sanchez, O.R.: Modeling User Activity and Network Demands in Online Gaming of Dota 2, (2015).
2014[ to top ]
  • 1.
    Borchert, K.: Recommendation Systems in Crowdsourcing Platforms, (2014).
  • 1.
    Lange, S.: Attribute Sampling in Online Social Networks: Algorithm Design, Performance Evaluation, and Applications, (2014).
  • 1.
    Yan, X.: Evaluation of Impact Parameters of Objective QoE Metrics, (2014).
  • 1.
    Scherer, J.: Analysis of the Impact of Delays in Web and Business Applications on the Perceived User Quality, (2014).
2013[ to top ]
  • 1.
    Scheuring, S.: Analyzing Trustworthiness and Qualification of Workers on Crowdsourcing Platforms, (2013).
  • 1.
    Metter, C.: Towards a Platform-Independent and Flexible OpenFlow Controller Performance Analyzer, (2013).
  • 1.
    Mayer, F.: Enhanced Resilience Aspects in the CAPEX-oriented Design of Multi-Layer Optical Networks, (2013).
  • 1.
    Scheib, M.: Impact of Smartphone Traffic Patterns on Power Consumption in 4G LTE Networks, (2013).
  • 1.
    Höhn, T.: Performance Assessment of QoE/QoS-Aware Network Control Approaches Using SDN, (2013).
  • 1.
    Deschner, S.: Performance Comparison of Application-Aware Resource Scheduling with Respect to the Channel Behavior, (2013).
  • 1.
    Moldovan, C.: YouTube Traffic Characterization: Impact of Flow Control Mechanisms and Internet-Wide Traffic Distribution, (2013).
  • 1.
    Sieber, C.: Holistic Evaluation of Novel Adaptation Logics for DASH and SVC, (2013).