TU Wien Informatics

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Pantelis Frangoudis

Univ.Ass. / PhD

Role

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2024W

2025S

 

  • 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)
  • 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)
  • 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
  • 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)
  • 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