TU Wien Informatics

20 Years

Role

  • 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
    Project: AloTwin (2023–2025)
  • 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.
    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)
  • 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
  • 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
  • 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)
  • 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, International. 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, International. IEEE. https://doi.org/10.1109/sose52839.2021.00009
  • 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)
  • 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
  • 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
  • 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
  • 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, EU. 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, EU. IEEE. https://doi.org/10.1109/icc40277.2020.9149048