Hochschule Karlsruhe Hochschule Karlsruhe - University of Applied Sciences
NewsCalendarStaffEmergency_crisis
Hochschule Karlsruhe Hochschule Karlsruhe - University of Applied Sciences Hochschule Karlsruhe Hochschule Karlsruhe - University of Applied Sciences
Hochschule Karlsruhe Hochschule Karlsruhe - University of Applied Sciences
Forschungsgruppe DSS_Imagebild Web

Institute of Data-Centric Software Systems

Profile Projects Publications

Publications

2024

  • H. Afifi et al. (including Reza Poorzare), “Machine Learning With Computer Networks: Techniques, Datasets, and Models,” IEEE Access, vol. 12, pp. 54673–54720, 2024, doi: 10.1109/ACCESS.2024.3384460. Available: https://ieeexplore.ieee.org/document/10489950/.

2023

  • T. Fleck, S. Gohlke, and Z. Nochta, “A System for the Efficient Charging of EV Fleets,” World Electric Vehicle Journal, vol. 14, no. 12, p. 335, Dec. 2023, doi: 10.3390/wevj14120335. Available: https://www.mdpi.com/2032-6653/14/12/335.
  • R. Poorzare and O. P. Waldhorst, “Can MPTCP Proxy Practically Improve Cellular Communication?,” in 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC), Anaheim, CA, USA: IEEE, Nov. 2023, pp. 323–330. doi: 10.1109/IPCCC59175.2023.10253837. Available: https://ieeexplore.ieee.org/document/10253837/.
  • A. Abouaissa et al., “Borderless Authentic -Authentication in the Upper-Rhine Area with AI,” in URAI 2023: Upper Rhine Artificial Intelligence Symposium, Mulhouse (FR), France: ensisa, Nov. 2023. Available: https://hal.science/hal-04219706.

  • A. Berndt, Z. Nochta, and T. Bach, “The Vocabulary of Flaky Tests in the Context of SAP HANA,” in 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), New Orleans, LA, USA: IEEE, Oct. 2023, pp. 1–9. doi: 10.1109/ESEM56168.2023.10304860. Available: https://ieeexplore.ieee.org/document/10304860/.

  • R. Poorzare and O. P. Waldhorst, “Handling 5G Blockage Issue through a MPTCP Proxy Approach,” in 2023 14th International Conference on Network of the Future (NoF), Izmir, Turkiye: IEEE, Oct. 2023, pp. 108–112. doi: 10.1109/NoF58724.2023.10302815. Available: https://ieeexplore.ieee.org/document/10302815/.
  • R. Schreiner and O. P. Waldhorst, Computernetzwerke -- Von den Grundlagen zur Funktion und Anwendung, 8. Auflage. Carl Hanser Verlag, 2023. Available: http://dx.doi.org/10.3139/9783446474727.
  • M. Konig, O. P. Waldhorst, and M. Zitterbart, “QUIC(k) Enough in the Long Run? Sustained Throughput Performance of QUIC Implementations,” in 2023 IEEE 48th Conference on Local Computer Networks (LCN), Los Alamitos, CA, USA: IEEE Computer Society, Oct. 2023, pp. 1–4. doi: 10.1109/LCN58197.2023.10223395. Available: https://doi.ieeecomputersociety.org/10.1109/LCN58197.2023.10223395.
  • P. Baumstark, D. Monschein, and O. P. Waldhorst, “Secure Plaintext Acquisition of Homomorphically Encrypted Results for Remote Processing,” in 2023 IEEE 48th Conference on Local Computer Networks (LCN), Los Alamitos, CA, USA: IEEE Computer Society, Oct. 2023, pp. 1–4. doi: 10.1109/LCN58197.2023.10223372. Available: https://doi.ieeecomputersociety.org/10.1109/LCN58197.2023.10223372.
  • S. Gohlke and Z. Nochta, “Towards a short-term forecasting framework to efficiently charge company EV fleets,” in 7th E-Mobility Power System Integration Symposium (EMOB 2023), Copenhagen, Denmark: Institution of Engineering and Technology, Sep. 2023, pp. 191–198. doi: 10.1049/icp.2023.2703. Available: https://digital-library.theiet.org/content/conferences/10.1049/icp.2023.2703.
  • T. Fleck, S. Gohlke, and Z. Nochta, “A Smart Charging System to Efficiently Run EV Fleets,” presented at the 36th Electric Vehicle Symposium & Exposition (EVS36), Sacramento, California, USA, Sep. 2023. doi: 10.5281/zenodo.8353493. Available: https://zenodo.org/record/8353493.

  • R. Poorzare, H. Asghari, and O. P. Waldhorst, “Steps Toward a Supervised Machine Learning Scheduler for MPTCP,” 2nd Workshop “Machine Learning & Networking” (MaLeNe), Potsdam, Jul. 2023. Available: https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/deliver/index/docId/109652/file/109652.pdf.

  • R. Poorzare and A. Calveras, “Deep Learning TCP for Mitigating NLoS Impairments in 5G mmWave,” International Journal of Computers Communications & Control, vol. 18, no. 4, Jun. 2023, doi: 10.15837/ijccc.2023.4.4874. Available: https://univagora.ro/jour/index.php/ijccc/article/view/4874.
  • K. Schert and Z. Nochta, “Integration of electric fleet virtual power plants in energy markets,” in 7th E-Mobility Power System Integration Symposium (EMOB 2023), Copenhagen, Denmark: Institution of Engineering and Technology, 2023, pp. 83–90. doi: 10.1049/icp.2023.2689. Available: https://digital-library.theiet.org/content/conferences/10.1049/icp.2023.2689.
  • K. Schert, Z. Nochta, F. Biedenbach, T. Müller, and M. Kluge, “Leveraging Energy Flexibility with Electric Vehicles,” in 36th Electric Vehicle Symposium & Exposition (EVS36) , Sacramento, 11-14, June 2023 (Session 3A, Part 3), 2023. doi: 10.5281/zenodo.8082544. Available: https://zenodo.org/records/8082544.
  • P. Schuller, J. Siedl, N. Getto, S. T. Schork, and C. Zirpins, “Optimized Throttling for OAuth-Based Authorization Servers,” in Enterprise Design, Operations, and Computing. EDOC 2022 Workshops, T. P. Sales, H. A. Proper, G. Guizzardi, M. Montali, F. M. Maggi, and C. M. Fonseca, Eds., Cham: Springer International Publishing, 2023, pp. 251–267. doi: 10.1007/978-3-031-26886-1_15. Available: https://doi.org/10.1007/978-3-031-26886-1_15.
  • J. A. Peregrina, G. Ortiz, and C. Zirpins, “Towards Data Governance for Federated Machine Learning,” in Advances in Service-Oriented and Cloud Computing, C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, and D. Tamburri, Eds., Cham: Springer Nature Switzerland, 2023, pp. 59–71. doi: 10.1007/978-3-031-23298-5_5. Available: https://doi.org/10.1007/978-3-031-23298-5_5.
  • J. A. Peregrina, G. Ortiz, and C. Zirpins, “Towards a Metadata Management System for Provenance, Reproducibility and Accountability in Federated Machine Learning,” in Advances in Service-Oriented and Cloud Computing, C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, and D. Tamburri, Eds., Cham: Springer Nature Switzerland, 2023, pp. 5–18. doi: 10.1007/978-3-031-23298-5_1. Available: https://doi.org/10.1007/978-3-031-23298-5_1.
  • T. Piotrowski and Z. Nochta, “Towards a Secure Peer-to-Peer Federated Learning Framework,” in Advances in Service-Oriented and Cloud Computing, C. Zirpins, G. Ortiz, Z. Nochta, O. Waldhorst, J. Soldani, M. Villari, and D. Tamburri, Eds., Cham: Springer Nature Switzerland, 2023, pp. 19–31. Available: http://dx.doi.org/10.1007/978-3-031-23298-5_2.
  • C. Zirpins et al., Eds., Advances in Service-Oriented and Cloud Computing: International Workshops of ESOCC 2022, Wittenberg, Germany, March 22–24, 2022, Revised Selected Papers, vol. 1617. in Communications in Computer and Information Science, vol. 1617. Cham: Springer Nature Switzerland, 2023. doi: 10.1007/978-3-031-23298-5. Available: https://doi.org/10.1007/978-3-031-23298-5.
  • J. Troya et al., Eds., Service-oriented computing – ICSOC 2022 workshops ASOCA, AI-PA, FMCIoT, WESOACS 2022, sevilla, spain, november 29 – december 2, 2022 proceedings. in Lecture Notes in Computer Science, no. 13821. Cham: Springer, 2023. Available: https://doi.org/10.1007/978-3-031-26507-5.
  • R. Poorzare and O. P. Waldhorst, “Toward the Implementation of MPTCP Over mmWave 5G and Beyond: Analysis, Challenges, and Solutions,” IEEE Access, vol. 11, pp. 19534–19566, 2023, doi: 10.1109/ACCESS.2023.3248953. Available: https://ieeexplore.ieee.org/document/10051843/.

2022

2021

  • S. Hintzen, Y. Liesy, and C. Zirpins, “A third-party replication service for dynamic hidden databases,” Service Oriented Computing and Applications, vol. 15, no. 4, pp. 323–338, Dec. 2021, doi: 10.1007/s11761-020-00313-x. [Online]. Available: https://doi.org/10.1007/s11761-020-00313-x.
  • D. Monschein and O. P. Waldhorst, “SPCAuth: Scalable and Privacy-Preserving Continuous Authentication for Web Applications,” in Proc. 46th IEEE Conf. on Local Computer Networks (LCN), Virt. Conf., Oct. 2021 [Online]. Available: http://dx.doi.org/10.1109/LCN52139.2021.9524959.
  • D. Monschein, J. A. Peregrina, T. Piotrowski, Z. Nochta, O. P. Waldhorst, and C. Zirpins, “Towards a Peer-to-Peer Federated Machine Learning Environment for Continuous Authentication,” in Proc. 1st IEEE Int. Workshop on Distributed and Intelligent Systems (DistInSys), co-located with 26th IEEE Symp. on Computers and Communications (ISCC), Athens, Greece, Sep. 2021 [Online]. Available: http://dx.doi.org/10.1007/978-3-031-23298-5_2.
  • D. Monschein and O. P. Waldhorst, “Privacy-Preserving and Scalable Authentication based on Network Connection Traces,” in Proc. GI/ITG Conf. on Networked Systems (NetSys), Virt. Conf., Sep. 2021 [Online]. Available: https://journal.ub.tu-berlin.de/eceasst/article/download/1175/1109.
  • J. A. Peregrina, G. Ortiz Bellot, and C. Zirpins, “Data Governance for Federated Machine Learning in Secure Web-based Systems,” in Proceedings I Jornadas de Investigación Predoctoral en Ingeniería Informática, Doctoral Consortium in Computer Science (JIPII 2021), 2021, pp. 36–39 [Online]. Available: http://hdl.handle.net/10498/26026.
  • T. Wink and Z. Nochta, “An Approach for Peer-to-Peer Federated Learning,” in Proc. Workshop on Dependable and Secure Machine Learning, co-located with 51th IEEE/IFIP Int. Conf. on Dependable Systems and Networks (DSN), Virt. Conf., Jun. 2021, doi: 10.1109/DSN-W52860.2021.00034.
  • D. Monschein, J. A. Peregrina Pérez, T. Piotrowski, Z. Nochta, O. P. Waldhorst, and C. Zirpins, “KIWI: Artificial Intelligence for Secure Web Infrastructures,” Forschung Aktuell, pp. 40–43, May 2021.
  • C. Zirpins et al., Eds., Advances in Service-Oriented and Cloud Computing: International Workshops of ESOCC 2020, Heraklion, Crete, Greece, September 28–30, 2020, Revised Selected Papers, vol. 1360. Cham: Springer International Publishing, 2021 [Online]. Available: http://link.springer.com/10.1007/978-3-030-71906-7.

2020

  • R. Kloe, T. Zylowski, and C. Zirpins, “Dynamic Re-Configuration of Conversationally Initiated Automated Negotiations,” in 2020 IEEE 24th International Enterprise Distributed Object Computing Workshop (EDOCW), Eindhoven, Netherlands, 2020, pp. 95–98, doi: 10.1109/EDOCW49879.2020.00026 [Online]. Available: https://ieeexplore.ieee.org/document/9233138/.

Ausgewählte ältere Publikationen

2018

  • M. Vogel, S. Weber, and C. Zirpins, “Experiences on Migrating RESTful Web Services to GraphQL,” in Service-Oriented Computing – ICSOC 2017 Workshops, vol. 10797, L. Braubach, J. M. Murillo, N. Kaviani, M. Lama, L. Burgueño, N. Moha, and M. Oriol, Eds. Cham: Springer International Publishing, 2018, pp. 283–295 [Online]. Available: http://link.springer.com/10.1007/978-3-319-91764-1_23.
  • J. Stählin, S. Lang, F. Kajzar, and C. Zirpins, “Consumer-Driven API Testing with Performance Contracts,” in Advances in Service-Oriented and Cloud Computing, vol. 707, A. Lazovik and S. Schulte, Eds. Cham: Springer International Publishing, 2018, pp. 135–143 [Online]. Available: http://link.springer.com/10.1007/978-3-319-72125-5_11.
  • S. Jäger, H.-P. Zorn, S. Igel, and C. Zirpins, “Parallelized Training of Deep NN: Comparison of Current Concepts and Frameworks,” in Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning, New York, NY, USA, 2018, pp. 15–20, doi: 10.1145/3286490.3286561 [Online]. Available: http://doi.acm.org/10.1145/3286490.3286561.

2017

  • G. Rydzynski, A. Felic, and C. Zirpins, “An Ontology-Based Hierarchical Clustering Approach for Decision Support in Mass Customization Environments,” in 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA), 2017, pp. 199–203, doi: 10.1109/ICKEA.2017.8169929 [Online]. Available: http://ieeexplore.ieee.org/document/8169929/.

2016

  • Z. Nochta, “Efficiency and Performance in Internet-of-Things Scenarios.” US Patent 10855566, Sep. 2016.
  • E. Wittern and C. Zirpins, “Service feature modeling: modeling and participatory ranking of service design alternatives,” Software & Systems Modeling, vol. 15, no. 2, pp. 553–578, 2016, doi: 10.1007/s10270-014-0414-4. [Online]. Available: https://doi.org/10.1007/s10270-014-0414-4.
  • C. Zirpins, “Situational Data-Analytics for the Web-of-Things,” in Proceedings of the 1st International Workshop on Mashups of Things and APIs, New York, NY, USA, 2016, p. 6:1-6:4, doi: 10.1145/3007203.3007218 [Online]. Available: http://doi.acm.org/10.1145/3007203.3007218.

2014

  • M. Kleeberg, C. Zirpins, and H. Kirchner, “Information Systems Integration in the Cloud: Scenarios, Challenges and Technology Trends,” in Future Business Software, Cham, 2014, pp. 39–54, doi: 10.1007/978-3-319-04144-5_4 [Online]. Available: https://doi.org/10.1007/978-3-319-04144-5_4.

2012

  • R. Kern, H. Thies, C. Zirpins, and G. Satzger, “Dynamic and Goal-based Quality Management for Human-based Electronic Services,” International Journal of Cooperative Information Systems, vol. 21, no. 1, pp. 3–29, 2012, doi: 10.1142/S0218843012400011. [Online]. Available: https://doi.org/10.1142/S0218843012400011.
Team Career