TU Wien Informatics

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Boris Sedlak

Projektass. Dipl.-Ing.

Boris Sedlak

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  • Equilibrium in the computing continuum through active inference / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Equilibrium in the computing continuum through active inference. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 160, 92–108. https://doi.org/10.1016/j.future.2024.05.056
    Download: PDF (1.46 MB)
    Project: TEADAL (2022–2025)
  • Operating distributed computing continuum systems through active inference / Sedlak, B. (2024, September 16). Operating distributed computing continuum systems through active inference [Keynote Presentation]. 2nd AIoTwin Summer School 2024, Dubrovnik, Croatia.
    Project: AloTwin (2023–2025)
  • A Privacy Enforcing Framework for Data Streams on the Edge / Sedlak, B., Murturi, I., Donta, P. K., & Dustdar, S. (2024). A Privacy Enforcing Framework for Data Streams on the Edge. IEEE Transactions on Emerging Topics in Computing, 12(3), 852–863. https://doi.org/10.1109/TETC.2023.3315131
    Projects: AloTwin (2023–2025) / FogProtect (2020–2022) / TEADAL (2022–2025)
  • On Causality in Distributed Continuum Systems / Casamayor Pujol, V., Sedlak, B., Donta, P. K., & Dustdar, S. (2024). On Causality in Distributed Continuum Systems. IEEE Internet Computing, 28(2), 57–64. https://doi.org/10.1109/MIC.2023.3344248
  • Markov Blanket Composition of SLOs / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Markov Blanket Composition of SLOs. In R. N. 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, J. Taheri, K. V. Subramaniam, F. Awaysheh, K. El Maghaouri, & Y. Wang (Eds.), 2024 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 128–138). IEEE. https://doi.org/10.1109/EDGE62653.2024.00025
    Project: TEADAL (2022–2025)
  • Diffusing High-level SLO in Microservice Pipelines / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Diffusing High-level SLO in Microservice Pipelines. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 11–19). IEEE. https://doi.org/10.1109/SOSE62363.2024.00008
    Project: TEADAL (2022–2025)
  • Invited Paper: DeepSLOs for the Computing Continuum / Casamayor Pujol, V., Sedlak, B., Xu, Y., Donta, P. K., & Dustdar, S. (2024). Invited Paper: DeepSLOs for the Computing Continuum. In I. Chatzigiannakis & V. Gramoli (Eds.), ApPLIED’24: Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems. ACM. https://doi.org/10.1145/3663338.3663681
    Download: PDF (637 KB)
    Project: TEADAL (2022–2025)
  • Active Inference on the Edge: A Design Study / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Active Inference on the Edge: A Design Study. In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 550–555). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10502828
    Project: TEADAL (2022–2025)
  • Equilibrium in the Computing Continuum through Active Inference / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Equilibrium in the Computing Continuum through Active Inference. arXiv. https://doi.org/10.34726/5944
    Download: PDF (2.83 MB)
    Project: TEADAL (2022–2025)
  • Designing Reconfigurable Intelligent Systems with Markov Blankets / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Designing Reconfigurable Intelligent Systems with Markov Blankets. arXiv. https://doi.org/10.34726/5943
    Download: PDF (1.5 MB)
    Project: TEADAL (2022–2025)
  • Active Inference on the Edge : A Design Study / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Active Inference on the Edge : A Design Study. arXiv. https://doi.org/10.34726/5939
    Download: PDF (1.88 MB)
    Project: TEADAL (2022–2025)
  • Towards Serverless Data Exchange Within Federations / Sedlak, B., Casamayor Pujol, V., Donta, P. K., Werner, S., Wolf, K., Falconi, M., Pallas, F., Dustdar, S., Tai, S., & Plebani, P. (2023). Towards Serverless Data Exchange Within Federations. In M. Aiello, J. Barzen, S. Dustdar, & F. Leymann (Eds.), Service-Oriented Computing, 17th Symposium and Summer School, SummerSOC 2023 (pp. 144–153). Springer. https://doi.org/10.1007/978-3-031-45728-9_9
    Project: TEADAL (2022–2025)
  • Exploring the Potential of Distributed Computing Continuum Systems / Donta, P. K., Murturi, I., Casamayor Pujol, V., Sedlak, B., & Dustdar, S. (2023). Exploring the Potential of Distributed Computing Continuum Systems. Computers, 12(10), Article 198. https://doi.org/10.3390/computers12100198
    Download: PDF (2.73 MB)
    Projects: AloTwin (2023–2025) / TEADAL (2022–2025)
  • Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. In C. Ardagna, N. Atukorala, C. C. Chang, R. N. Chang, J. Fan, G. Fox, S. Helal, Z. Jin, Q. Lu, T. Seceleanu, & S. S. Yau (Eds.), Proceedings. 2023 IEEE International Conference on Software Services Engineering (IEEE SSE 2023) (pp. 43–49). IEEE. https://doi.org/10.1109/SSE60056.2023.00017
    Project: TEADAL (2022–2025)
  • Designing Reconfigurable Intelligent Systems with Markov Blankets / Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Designing Reconfigurable Intelligent Systems with Markov Blankets. In F. Monti, S. Rinderle-Ma, A. Ruiz-Cortes, Z. Zheng, & M. Mecella (Eds.), SService-Oriented Computing ; 21st International Conference, ICSOC 2023, Rome, Italy, November 28 – December 1, 2023, Proceedings, Part I / 2023 (pp. 42–50). Springer Cham. https://doi.org/10.1007/978-3-031-48421-6_4
    Project: TEADAL (2022–2025)
  • Governance and sustainability of distributed continuum systems: a big data approach / Donta, P. K., Sedlak, B., Casamayor Pujol, V., & Dustdar, S. (2023). Governance and sustainability of distributed continuum systems: a big data approach. Journal Of Big Data, 10, Article 53. https://doi.org/10.1186/s40537-023-00737-0
    Download: PDF (2.48 MB)
    Project: TEADAL (2022–2025)
  • Specification and Operation of Privacy Models for Data Streams on the Edge / Sedlak, B., Murturi, I., & Dustdar, S. (2022). Specification and Operation of Privacy Models for Data Streams on the Edge. In L. Mashayekhy, S. Schulte, V. Cardellini, B. Kantarci, Y. Simmhan, & B. Varghese (Eds.), 2022 IEEE 6th International Conference on Fog and Edge Computing (ICFEC). IEEE. https://doi.org/10.1109/icfec54809.2022.00018
    Project: FogProtect (2020–2022)
  • Specification and operation of privacy models for data streams on the edge / Sedlak, B. A. (2022). Specification and operation of privacy models for data streams on the edge [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.96247
    Download: PDF (2.74 MB)