Institute of Data Centric Software Systems
Data centric software systems support the communication, processing and analysis of large, heterogeneous data volumes and streams in modern application scenarios. These include complex IT landscapes, online platforms, cyber-physical systems and software-based networks. These systems must function efficiently, scalably, reliably and trustworthily at all times.
Members of the Institute of Data Centric Software Systems (DSS) pool their competencies at the application and system level and develop innovative and viable solutions together with partners from industry and academic research.
News
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New book chapter on peer-to-peer data networks
In the second edition of the successful textbook “Internet Computing” by Prof. Dr. Ali Sunyaev, published by Springer-Verlag, Prof. Dr. Christian Zirpins from the Institute for Data-Centric Software Systems (IDSS) has contributed a chapter on peer-to-peer data networks. The book was published on August 28, 2024.
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aura.ai project officially launched: Innovative solutions for cross-border public transport in the Upper Rhine region
The Interreg project "Borderless Authentic - Authentication in the Upper-Rhine Area with AI " (aura.ai) was officially launched with the kick-off event of the science offensive of the tri-national Upper Rhine metropolitan region.
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New scientific publication presents practical solution to improve 5G performance using an MPTCP proxy
The 14th International NoF Conference in Izmir on October 4-6 provided an inspiring forum for groundbreaking discussions on the design and future of the Internet. Reza Poorzare presented his work on improving 5G performance using an MPTCP proxy.
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Ongoing projects
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![[Translate to English:]](/fileadmin/_processed_/c/9/csm_csm_HKA_WE-IAF_Projekt_bwnt_Imagebild_fiber-optics-0008_a934633980_dbff7531a6.jpg "[Translate to English:]")
bwNET2.0
Research and innovative services for a flexible network in Baden-Württemberg New innovative approaches for further development of BelWÜ as well as campus networks on the basis of powerful and flexible networks
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FederatedForecasts
Cross-faculty research project investigates the accuracy of renewable energy performance forecasts using federated machine learning.
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BiFlex-Industry
The transformation of German energy infrastructure is a key task to meet the challenges of climate change and the German government's energy policy goals. The BiFlex-Industry project, with its focus on bidirectional flexibility through vehicle fleet power plants, is at the center of these efforts.
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aura.ai
A new era for cross-border mobility! The aura.ai project is developing automatic, privacy-friendly authentication procedures for easy access to multiple transport services.
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Completed projects
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ILKA
AI offspring@FH2021: Building a distributed IT infrastructure for latency-critical AI applications Establishment of an IT infrastructure with which methods for real-time-capable or latency-critical AI applications can be researched, tested, and taught, as well as research and development of a utilization concept.
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Green4EVer
Integration of electric mobility in sustainable smart buildings and site management Development and practical testing of comprehensive energy and infrastructure management for electromobility as an integrated component of modern site and property management processes
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KIWI
Artificial intelligence in secure web infrastructures with digital identity management: Development and practical testing of AI-supported security management in complex web infrastructures
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bwNET2020+
Research and innovative services for a flexible network in Baden-Württemberg New innovative approaches for further development of BelWÜ as well as campus networks on the basis of powerful and flexible networks
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Contact
Management Team
Research Staff
Publications
2024
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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.
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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.
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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
- J. Gauss, S. Gohlke, and Z. Nochta, “On the Collaborative Use of EV Charging Infrastructures in the Context of Commercial Real Estate,” WEVJ, vol. 13, no. 12, p. 223, Nov. 2022, doi: 10.3390/wevj13120223. [Online]. Available: https://www.mdpi.com/2032-6653/13/12/223.
- Reza Poorzare, Hans Wippel, Oliver P. Waldhorst, and Christian Zirpins, “Machine-learning based Multipath Wireless Access on an Infrastructure for Latency Critical AI-Applications,” in Proc. 3rd KuVS Fachgespräch "Machine Learning & Networking“, Potsdam, 2022. Available: https://hpi.de/fileadmin/user_upload/fachgebiete/karl/Fotos/Events/Malene_2022/poorzare_malene22.pdf.
- J. Gauss, S. Gohlke, and Z. Nochta, “On the Collaborative Use of EV Charging Infrastructures in the Context of Commercial Real Estate,” in Proc. Int. Electric Vehicle Symposium & Exhibition, Oslo, Norway, Jun. 2022 [Online]. Available: https://papers.evs35oslo.org/download.php?f=papers/EVS35-1110193.pdf.
- D. Monschein and O. P. Waldhorst, “mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web Applications.” 2022 [Online]. Available: https://arxiv.org/abs/2210.04777.
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/.
Selected older publications
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.