2024W

• Advanced Internet Computing / 184.269 / VU
• Bachelor Thesis for Informatics and Business Informatics / 184.714 / PR
• Distributed Systems / 194.024 / VU
• Project in Computer Science 1 / 194.145 / PR
• Project in Computer Science 2 / 194.146 / PR
• Seminar in Distributed Systems / 184.194 / SE

2025S

• Bachelor Thesis for Informatics and Business Informatics / 184.714 / PR
• Project in Computer Science 1 / 194.145 / PR
• Project in Computer Science 2 / 194.146 / PR
• Seminar in Distributed Systems / 184.194 / SE

2024

• Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication / Furutanpey, A., Frangoudis, P., Szabo, P., & Dustdar, S. (2024). Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication. arXiv. https://doi.org/10.34726/8679
  Download: PDF (1.44 MB)
• Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget / Čilić, I., Lackinger, A., Frangoudis, P., Podnar Žarko, I., Furutanpey, A., Murturi, I., & Dustdar, S. (2024). Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget. arXiv. https://doi.org/10.34726/8682
  Download: PDF (566 KB)
  Project: AloTwin (2023–2025)
• Inference Load-Aware Orchestration for Hierarchical Federated Learning / Lackinger, A., Frangoudis, P., Cilic, I., Furutanpey, A., Murturi, I., Podnar Zarko, I., & Dustdar, S. (2024). Inference Load-Aware Orchestration for Hierarchical Federated Learning. arXiv. https://doi.org/10.34726/8212
  Download: PDF (3.93 MB)
  Projects: AloTwin (2023–2025) / INTEND (2024–2026)
• QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum / Čilić, I., Jukanović, V., Podnar Zarko, I., Frangoudis, P., & Dustdar, S. (2024). QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum. arXiv. https://doi.org/10.34726/8802
  Download: PDF (365 KB)
  Project: AloTwin (2023–2025)
• Distributed Computing Continuum Systems: Emerging approaches for intelligent, self-adaptive and secure operation / Frangoudis, P., & Murturi, I. (2024, February 28). Distributed Computing Continuum Systems: Emerging approaches for intelligent, self-adaptive and secure operation [Presentation]. Tutorial at the University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia.
  Project: AloTwin (2023–2025)
• SMTaaS: Serving problem solving workloads over the computing continuum / Frangoudis, P. (2024, February 26). SMTaaS: Serving problem solving workloads over the computing continuum [Presentation]. IEEE Croatia Section, University of Zagreb, Zagreb, Croatia.
  Project: AloTwin (2023–2025)
• SMT-as-a-Service for Fog-Supported Cyber-Physical Systems / Holzer, S., Frangoudis, P., Tsigkanos, C., & Dustdar, S. (2024). SMT-as-a-Service for Fog-Supported Cyber-Physical Systems. In ICDCN ’24: Proceedings of the 25th International Conference on Distributed Computing and Networking (pp. 154–163). ACM. https://doi.org/10.1145/3631461.3631562
  Download: PDF (2.01 MB)
  Project: AloTwin (2023–2025)
• QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum / Čilić, I., Jukanović, V., Podnar Zarko, I., Frangoudis, P., & Dustdar, S. (2024). QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum. In R. Chang, C. K. Chang, J. Yang, Z. Jin, M. Sheng, J. Fan, K. Fletcher, Q. He, N. Atukorala, H. Wu, S. Wang, S. Deng, N. Desai, G. Pingali, Javid Taheri, K. V. Subramaniam, F. Awaysheh, K. El Maghaouri, & Y. Wang (Eds.), 2024 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 67–73). IEEE. https://doi.org/10.1109/EDGE62653.2024.00018
  Project: AloTwin (2023–2025)
• Split federated learning for 6G enabled-networks: requirements, challenges, and future directions / Hafi, H., Brik, B., Frangoudis, P., Ksentini, A., & Bagaa, M. (2024). Split federated learning for 6G enabled-networks: requirements, challenges, and future directions. IEEE Access, 12, 9890–9930. https://doi.org/10.1109/ACCESS.2024.3351600
  Download: PDF (8.44 MB)

2023

• Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions / Hafi, H., Brik, B., Frangoudis, P. A., & Ksentini, A. (2023). Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions. arXiv. https://doi.org/10.34726/8800
  Download: PDF (3.36 MB)
• Orchestration Aspects in Distributed Computing Continuum Systems / Frangoudis, P. (2023, September 5). Orchestration Aspects in Distributed Computing Continuum Systems [Presentation]. Tutorials of the AIoTwin 1st Summer School, Sibenik, Croatia. http://hdl.handle.net/20.500.12708/189588
  Project: AloTwin (2023–2025)
• Context-Aware Routing in Fog Computing Systems / Karagiannis, V., Frangoudis, P., Dustdar, S., & Schulte, S. (2023). Context-Aware Routing in Fog Computing Systems. IEEE Transactions on Cloud Computing, 11(1), 532–549. https://doi.org/10.1109/TCC.2021.3102996
  Projects: CDL-BOT (2020–2025) / FORA (2017–2021)

2022

• Edge-Based Runtime Verification for the Internet of Things / Tsigkanos, C., Bersani, M. M., Frangoudis, P., & Dustdar, S. (2022). Edge-Based Runtime Verification for the Internet of Things. IEEE Transactions on Services Computing, 15(5), 2713–2727. https://doi.org/10.1109/TSC.2021.3074956
  Download: Paper (1.19 MB)
  Project: EDENSPACE (2019–2022)
• Pushing Serverless to the Edge with WebAssembly Runtimes / Gackstatter, P., Frangoudis, P., & Dustdar, S. (2022). Pushing Serverless to the Edge with WebAssembly Runtimes. In M. Fazio, D. K. Panda, R. Prodan, V. Cardellini, B. Kantarci, O. Rana, & M. Villari (Eds.), Proceedings of the 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) (pp. 140–149). IEEE. https://doi.org/10.1109/CCGrid54584.2022.00023
• Edge-Based Autonomous Management of Vertical Farms / Jandl, A., Frangoudis, P. A., & Dustdar, S. (2022). Edge-Based Autonomous Management of Vertical Farms. IEEE Internet Computing, 26(1), 68–75. https://doi.org/10.1109/mic.2021.3129271

2021

• Updating Service-Based Software Systems in Air-Gapped Environments / Shabelnyk, O., Frangoudis, P. A., Dustdar, S., & Tsigkanos, C. (2021). Updating Service-Based Software Systems in Air-Gapped Environments. In S. Biffl, E. Navarro, W. Löwe, M. Sirjani, R. Mirandola, & D. Weyns (Eds.), Software Architecture (pp. 147–163). Springer, Cham. https://doi.org/10.1007/978-3-030-86044-8_10
  Project: EDENSPACE (2019–2022)
• System support and mechanisms for adaptive edge-to-cloud DNN model serving / Reisinger, M., Frangoudis, P. A., & Dustdar, S. (2021). System support and mechanisms for adaptive edge-to-cloud DNN model serving. In 2021 IEEE International Conference on Cloud Engineering (IC2E). 9th IEEE International Conference on Cloud Engineering (IC2E 2021) - Online Conference, San Francisco, CA, USA, United States of America (the). IEEE. https://doi.org/10.1109/ic2e52221.2021.00046
• Edge-Based Runtime Verification for the Internet of Things / Tsigkanos, C., Bersani, M. M., Frangoudis, P. A., & Dustdar, S. (2021). Edge-Based Runtime Verification for the Internet of Things. In N. Atukorala, C. K. Chang, R. Chang, E. Damiani, I. Foster, Z. Wang, & J. Zhang (Eds.), 2021 IEEE World Congress on Services (SERVICES). IEEE. https://doi.org/10.1109/services51467.2021.00027
• Recursive design for data-driven, self-adaptive IoT services / Frangoudis, P. A., Reisinger, M., & Dustdar, S. (2021). Recursive design for data-driven, self-adaptive IoT services. In 2021 IEEE International Conference on Service-Oriented System Engineering (SOSE). 15th IEEE International Conference on Service-Oriented System Engineering (SOSE 2021) - Online Conference, Oxford, UK, United Kingdom of Great Britain and Northern Ireland (the). IEEE. https://doi.org/10.1109/sose52839.2021.00009
• Data-Driven RAN Slicing Mechanisms for 5G and Beyond / Bakri, S., Frangoudis, P. A., Ksentini, A., & Bouaziz, M. (2021). Data-Driven RAN Slicing Mechanisms for 5G and Beyond. IEEE Transactions on Network and Service Management, 18(4), 4654–4668. https://doi.org/10.1109/tnsm.2021.3098193
• Connectivity Technology Selection and Deployment Strategies for IoT Service Provision Over LPWAN / Frangoudis, P. A., Tsigkanos, C., & Dustdar, S. (2021). Connectivity Technology Selection and Deployment Strategies for IoT Service Provision Over LPWAN. IEEE Internet Computing, 25(1), 61–70. https://doi.org/10.1109/mic.2020.3031104
  Project: EDENSPACE (2019–2022)

2020

• Synthesizing Plausible Infrastructure Configurations for Evaluating Edge Computing Systems / Rausch, T., Lachner, C., Frangoudis, P. A., Raith, P., & Dustdar, S. (2020). Synthesizing Plausible Infrastructure Configurations for Evaluating Edge Computing Systems. In I. Ahmad & M. Zhao (Eds.), 3rd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2020. USENIX Association. http://hdl.handle.net/20.500.12708/58203
• Service-Oriented MEC Applications Placement in a Federated Edge Cloud Architecture / Brik, B., Frangoudis, P. A., & Ksentini, A. (2020). Service-Oriented MEC Applications Placement in a Federated Edge Cloud Architecture. In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). Communication QoS, Reliability, and Modelling Symposium at ICC 2020 - Online Conference, Dublin, Ireland. IEEE. https://doi.org/10.1109/icc40277.2020.9148814
• Channel stability prediction to optimize signaling overhead in 5G networks using machine learning / Bakri, S., Bouaziz, M., Frangoudis, P. A., & Ksentini, A. (2020). Channel stability prediction to optimize signaling overhead in 5G networks using machine learning. In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). Communication Software, Services, and Multimedia Applications Symposium at ICC 2020 - Online Conference, Dublin, Ireland. IEEE. https://doi.org/10.1109/icc40277.2020.9149048
• On Extending ETSI MEC to Support LoRa for Efficient IoT Application Deployment at the Edge / Ksentini, A., & Frangoudis, P. A. (2020). On Extending ETSI MEC to Support LoRa for Efficient IoT Application Deployment at the Edge. IEEE Communications Standards Magazine, 4(2), 57–63. https://doi.org/10.1109/mcomstd.001.1900051
• Toward Slicing-Enabled Multi-Access Edge Computing in 5G / Ksentini, A., & Frangoudis, P. A. (2020). Toward Slicing-Enabled Multi-Access Edge Computing in 5G. IEEE Network, 34(2), 99–105. https://doi.org/10.1109/mnet.001.1900261
• Orchestrating heterogeneous MEC-based applications for connected vehicles / Giannone, F., Frangoudis, P. A., Ksentini, A., & Valcarenghi, L. (2020). Orchestrating heterogeneous MEC-based applications for connected vehicles. Computer Networks, 180(107402), 107402. https://doi.org/10.1016/j.comnet.2020.107402

• Serverless edge computing for industrial processes / Scherer, D. (2025). Serverless edge computing for industrial processes [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.127177
  Download: PDF (1.43 MB)
• A collaborative multi agent reinforcement learning approach to managing traffic light grids / Halmetschlager, M. (2022). A collaborative multi agent reinforcement learning approach to managing traffic light grids [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.96331
  Download: PDF (2.75 MB)
• SMT-as-a-Service at the Edge / Holzer, S. (2022). SMT-as-a-Service at the Edge [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.91962
  Download: PDF (1.81 MB)
• System support & orchestration mechanisms for distributed DNN inference / Reisinger, M. (2022). System support & orchestration mechanisms for distributed DNN inference [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.87400
  Download: PDF (1.3 MB)
• A WebAssembly container runtime for serverless edge computing / Gackstatter, P. (2021). A WebAssembly container runtime for serverless edge computing [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.85181
  Download: PDF (1.33 MB)
• IoT and edge computing technologies for vertical farming from seed to harvesting / Jandl, A. (2020). IoT and edge computing technologies for vertical farming from seed to harvesting [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.81340
  Download: PDF (1.21 MB)