Publications

Publications Institute of Parallel and Distributed Systems: Year 2022

Documents of the Institute

• Articles in Proceedings
• Articles in Journals
 

• Master Theses
• Bachelor Theses
• Miscellaneous Papers

• Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Schwarz, Holger; Mitschang, Bernhard: Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies. In: De Weerdt, Jochen (ed.); Polyvyanyy, Artem (ed.): Proceedings of the 34th International Conference on Intelligent Information Systems, 2022.
• Eichler, Rebecca; Gröger, Christoph; Hoos, Eva; Stach, Christoph; Schwarz, Holger; Mitschang, Bernhard: Establishing the Enterprise Data Marketplace: Characteristics, Architecture, and Challenges. In: Yu, Xiaohui (ed.); Pei, Jian (ed.): Proceedings of the Workshop on Data Science for Data Marketplaces in Conjunction with the 48th International Conference on Very Large Data Bases, 2022.
• Hermann, Florian; Chen, Bowen; Ghasemi, Golsa; Stegmaier, Valentin; Ackermann, Thomas; Reimann, Peter; Vogt, Sabrina; Graf, Thomas; Weyrich, Michael: A Digital Twin Approach for the Prediction of the Geometry of Single Tracks Produced by Laser Metal Deposition. In: Procedia CIRP: Proceedings of the 55th CIRP Conference on Manufacturing Systems (CIRP CMS 2022).
• Li, Yunxuan; Hirmer, Pascal; Stach, Christoph; Mitschang, Bernhard: Ensuring Situation-Aware Privacy for Connected Vehicles. In: Niforatos, Evangelos (ed.); Kortuem, Gerd (ed.); Meratnia, Nirvana (ed.); Siegel, Josh (ed.); Michahelles, Florian (ed.): Proceedings of the 12th International Conference on the Internet of Things (IoT); Delft, Netherlands, November 7 - 10, 2022.
• Spieß, Marco; Reimann, Peter; Weber, Christian; Mitschang, Bernhard: Analysis of Incremental Learning andWindowing to handle Combined Dataset Shifts on Binary Classification for Product Failure Prediction. In: Proceedings of the 24th International Conference on Enterprise Information Systems (ICEIS 2022).
• Stach, Christoph; Gritti, Clémentine; Przytarski, Dennis; Mitschang, Bernhard: Can Blockchains and Data Privacy Laws be Reconciled? A Fundamental Study of How Privacy-Aware Blockchains are Feasible. In: Hong, Jiman (ed.); Bures, Miroslav (ed.); Petrlic, Ronald (ed.); Sorge, Christoph (ed.): Proceedings of the 37th ACM/SIGAPP Symposium On Applied Computing, 2022.
• Ziegler, Julian; Reimann, Peter; Schulz, Christoph; Keller, Florian; Mitschang, Bernhard: A Graph Structure to Discover Patterns in Unstructured Processes of Product Development. In: Proceedings of the 23rd International Conference on Information Reuse and Integration for Data Science (IRI 2022).

• Falk, Jonathan; Geppert, Heiko; Dürr, Frank; Bhowmik, Sukanya; Rothermel, Kurt: Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane. In: IEEE Transactions on Network and Service Management. Bd. 19(2), IEEE, 2022.
• Falk, Jonathan; Geppert, Heiko; Dürr, Frank; Bhowmik, Sukanya; Rothermel, Kurt: Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane. In: IEEE Transactions on Network and Service Management. Bd. 19(2), IEEE, 2022.
• Falk, Jonathan; Geppert, Heiko; Dürr, Frank; Bhowmik, Sukanya; Rothermel, Kurt: Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane. In: IEEE Transactions on Network and Service Management. Bd. 19(2), IEEE, 2022.
• Falk, Jonathan; Geppert, Heiko; Dürr, Frank; Bhowmik, Sukanya; Rothermel, Kurt: Dynamic QoS-Aware Traffic Planning for Time-Triggered Flows in the Real-time Data Plane. In: IEEE Transactions on Network and Service Management. Bd. 19(2), IEEE, 2022.
• Stach, Christoph; Behringer, Michael; Bräcker, Julia; Gritti, Clémentine; Mitschang, Bernhard: SMARTEN — A Sample-Based Approach towards Privacy-Friendly Data Refinement. In: Journal of Cybersecurity and Privacy. Vol. 2(3), MDPI, 2022.
• Stach, Christoph; Bräcker, Julia; Eichler, Rebecca; Giebler, Corinna; Mitschang, Bernhard: Simplified Specification of Data Requirements for Demand-Actuated Big Data Refinement. In: Journal of Data Intelligence. Vol. 3(3), Rinton Press, 2022.
• Stach, Christoph; Gritti, Clémentine; Bräcker, Julia; Behringer, Michael; Mitschang, Bernhard: Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects. In: Future Internet. Vol. 14(11), MDPI, 2022.
• Stach, Christoph; Gritti, Clémentine; Przytarski, Dennis; Mitschang, Bernhard: Assessment and Treatment of Privacy Issues in Blockchain Systems. In: ACM SIGAPP Applied Computing Review. Vol. 22(3), ACM, 2022.
• Stach, Christoph: Editorial to the Special Issue on Security and Privacy in Blockchains and the IoT. In: Future Internet. Vol. 14(11), MDPI, 2022.

• Balihalli, Tushar Rajendra: Data-driven partitioning of training data for complex multiclass problems, Master Thesis No. 37, 2022.
• Holtwerth, Nico: Dynamic vertex colored conflict graphs for time-sensitive networks, Master Thesis No. 36, 2022.
• Kaklotar, Anita: Scalable sub-graph centric distributed influence maximization, Master Thesis No. 82, 2022.
• Keskin, Bedirhan: A simulator for connected car scenarios, Master Thesis No. 38, 2022.
• Kleinhans, Niklas: Simulation of muscle movements with GNNs, Master Thesis No. 50, 2022.
• Koole, Niels Floyd: Efficient validation of time series data using reasoning, Master Thesis No. 83, 2022.
• Kovacic, Marko: Deployment und Ausführung verteilter Datenpipelines in Software-Defined-Car-Anwendungen, Master Thesis No. 81, 2022.
• Künzel, Sebastian: Design and implementation of a GPU-based simulation- and analysis-environment for dynamical systems, Master Thesis No. 35, 2022.
• Kunze, Ulf: Partitioning training data for complex multi-class problems using constraint-based clustering, Master Thesis No. 4, 2022.
• Kurz, Benjamin: Analyse gemischter Genauigkeit und der Nutzung von spezialisierten GPU-Matrixeinheiten anhand der PLSSVM Anwendung, Master Thesis No. 85, 2022.
• Li, Yunxuan: Preserving privacy in software defined car environments, Master Thesis No. 10, 2022.
• Mehler, Benedikt: Robust distributed pervasive simulations in the presence of delays, jitter and losses, Master Thesis No. 86, 2022.
• Otlinghaus, Fritz: Coupling of macro and micro scale in a continuum-biomechanical model of the human liver using preCICE, Master Thesis No. 30, 2022.
• Pilz, Daniel: Automated quality enhancer for fast neural networks on mobile devices, Master Thesis No. 97, 2022.
• Rapp, Jannis: Einbindung von Domänenexperten in die interaktive Verfeinerung von Clustering-Resultaten, Master Thesis No. 87, 2022.
• Sangolli, Suhas Devendrakeerti: Deep learning in stream entity resolution, Master Thesis No. 53, 2022.
• Schiffmann, Tobias: Processor frequency sweet spot prediction based on dynamic code analysis, Master Thesis No. 27, 2022.
• Schubert, Tim: Context-aware data validation for machine learning pipelines, Master Thesis No. 98, 2022.
• Schürmann, Leon: Design and evaluation of system concepts and protocols for lossless hardware-assisted streaming of real-time measurement data over IP networks, Master Thesis No. 52, 2022.
• Stegmaier, Christian: How to combine augmentations for graph contrastive learning, Master Thesis No. 110, 2022.
• Steinacker, Daniel: Entwurf und Evaluierung von netzwerkbasierten Bloom-Filtern für Anwendungen zur Kontaktverfolgung, Master Thesis No. 42, 2022.
• Voggesberger, Julius: AutoML für Ensembles: Erhöhung der Klassifikationsperformanz durch Optimierung der Modelldiversität und der Entscheidungsfusion, Master Thesis No. 33, 2022.
• Wang, Xiaomin: Orchestrating data governance workloads as stateful services in cloud environments using Kubernetes Operator Framework, Master Thesis No. 99, 2022.
• Weitbrecht, Michel: ILP-based schedule planning for dynamic IEEE time-sensitive networks, Master Thesis No. 51, 2022.
• Widmayer, Moritz: Parallel machine learning of fluid-structure interaction, Master Thesis No. 58, 2022.
• Zeiske, Erik: Investigation of the energy consumption of different GPUs with respect to the used software stack, Master Thesis No. 25, 2022.
• Zeller, Sascha: Extraktion von hierarchischem Domänenwissen für komplexe Mehrklassenprobleme, Master Thesis No. 104, 2022.

• Abu El Komboz, Tareq: Parameter-dependent self-learning optimization, Bachelor Thesis No. 98, 2022.
• Arici, Can Carlo: Optimization and visualization of neural networks for mobile devices, Bachelor Thesis No. 10, 2022.
• Ariguib, Boshra: Second-order projection-based mapping methods for coupled multi-physics simulations, Bachelor Thesis No. 11, 2022.
• Aydin, Suat: Optimierte dynamische Updatestrategien für verteilte Simulationen unter der Verwendung von Vorhersagemodellen, Bachelor Thesis No. 77, 2022.
• Bartenbach, Arne: Monitoringsystem für modellgetriebene IoT-Anwendungen, Bachelor Thesis No. 59, 2022.
• Berezhna, Ganna: Entwicklung von Metadatentemplates für unternehmensinterne Datenmarktplätze, Bachelor Thesis No. 58, 2022.
• Birtar, Filip-Emanuel: Peer-to-peer distribution of mobile simulations, Bachelor Thesis No. 78, 2022.
• Böttle, Niclas: Was haben Schlafmusik-Stücke gemein? Eine empirische Analyse, Bachelor Thesis No. 88, 2022.
• Dobler, Simon: Hierarchische Repräsentation von Funktionen mit dualen B-Splines, Bachelor Thesis No. 5, 2022.
• Elstner, Janne: Optimizing the Grabability of Components using Generative Adversarial Networks and Latent Space Manipulation, Bachelor Thesis No. 73, 2022.
• Hauf, Nicolas: Multi-Node Parallelization of the PLSSVM Library, Bachelor Thesis No. 27, 2022.
• Heidrich, Felix: Vergleich von Parallel STL Implementierungen für GPUs mit nativen Frameworks, Bachelor Thesis No. 99, 2022.
• Mantsch, Daniel: Automated Quality Enhancer for fast Neural Network Inference on Mobile Devices, Bachelor Thesis No. 57, 2022.
• Mohamadsharief, Kamigar: Invarianten von Ansatzfunktionen beim Basiswechsel, Bachelor Thesis No. 21, 2022.
• Rönsch, Lozenz: Weighted independent colorful sets in large vertex colored conflict graphs for timetriggered flow scheduling, Bachelor Thesis No. 71, 2022.
• Sauter, Simon: Independent colorful vertex sets in large dynamic vertex colored conflict graphs, Bachelor Thesis No. 14, 2022.
• Schüttler, Kilian: Investigation of self-learned zeroth-order optimization algorithms, Bachelor Thesis No. 79, 2022.

• Stach, Christoph (ed): Special Issue "Security and Privacy in Blockchains and the IoT", 2022.