TU Wien Informatics

20 Years
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Victor Casamayor Pujol

Projektass. / PhD

Role

Contact

2024

  • Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions / Hazra, A., Morichetta, A., Murturi, I., Lovén, L., Dehury, C. K., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions. Computer, 57(3), 69–78. https://doi.org/10.1109/MC.2023.3334913
  • Modern Computing: Vision and Challenges / Gill, S. S., Wu, H., Patros, P., Ottaviani, C., Arora, P., Casamayor Pujol, V., Haunschild, D., Parlikad, A. K., Cetinkaya, O., Lutfiyya, H., Stankovski, V., Li, R., Ding, Y., Qadir, J., Abraham, A., Ghosh, S. K., Song, H., Sakellariou, R., Rana, O., … Buyya, R. (2024). Modern Computing: Vision and Challenges. arXiv. https://doi.org/10.34726/6099
    Download: PDF (1.18 MB)
  • Intelligence Inference on IoT Devices / Zhang, Q., Li, Y., Zhang, D., Murturi, I., Casamayor Pujol, V., Dustdar, S., & Wang, S. (2024). Intelligence Inference on IoT Devices. In P. K. Donta, A. Hazra, & L. Loven (Eds.), Learning Techniques for the Internet of Things (pp. 171–195). Springer. https://doi.org/10.1007/978-3-031-50514-0_9

2023

  • 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)
  • 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)
  • 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)
  • 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)
  • PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum / Morichetta, A., Casamayor Pujol, V., Nastic, S., Dustdar, S., Vij, D., Xiong, Y., & Zhang, Z. (2023). PolarisProfiler: A Novel Metadata-Based Profiling Approach for Optimizing Resource Management in the Edge-Cloud Continnum. In 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 27–36). IEEE. https://doi.org/10.1109/SOSE58276.2023.00010
  • Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum / Casamayor Pujol, V., Morichetta, A., & Nastic, S. (2023). Intelligent Sampling: A Novel Approach to Optimize Workload Scheduling in Large-Scale Heterogeneous Computing Continuum. In Proceedings : 17th IEEE International Conference on Service-Oriented System Engineering (IEEE SOSE 2023) (pp. 140–149). IEEE. https://doi.org/10.1109/SOSE58276.2023.00024
  • Self-adaptation in Distributed Computing Continuum Systems / Casamayor Pujol, V. (2023, July 21). Self-adaptation in Distributed Computing Continuum Systems [Conference Presentation]. 2nd China-Austria Innovation Cooperation Exchange Conference & the International Symposium on AI and Digital Economy (CAICC-IDIA 2023), Nanjing, Jiangsu Povince, China.
  • Edge Intelligence—Research Opportunities for Distributed Computing Continuum Systems / Casamayor Pujol, V., Donta, P. K., Morichetta, A., Murturi, I., & Dustdar, S. (2023). Edge Intelligence—Research Opportunities for Distributed Computing Continuum Systems. IEEE Internet Computing, 27(4), 53–74. https://doi.org/10.1109/MIC.2023.3284693
  • On distributed computing continuum systems / Dustdar, S., Casamayor Pujol, V., & Donta, P. K. (2023). On distributed computing continuum systems. IEEE Transactions on Knowledge and Data Engineering, 35(4), 4092–4105. https://doi.org/10.34726/2381
    Download: PDF (2.13 MB)
  • Fundamental Research Challenges for Distributed Computing Continuum Systems / Casamayor Pujol, V., Morichetta, A., Murturi, I., Donta, P. K., & Dustdar, S. (2023). Fundamental Research Challenges for Distributed Computing Continuum Systems. Information, 14(3), Article 198. https://doi.org/10.3390/info14030198
    Download: pdf (390 KB)
  • 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)
  • Learning-driven Zero Trust in Distributed Computing Continuum Systems / Murturi, I., Donta, P. K., Casamayor Pujol, V., Morichetta, A., & Dustdar, S. (2023). Learning-driven Zero Trust in Distributed Computing Continuum Systems. arXiv. https://doi.org/10.48550/arXiv.2311.17447
    Projects: AloTwin (2023–2025) / TEADAL (2022–2025)
  • Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions / Hazra, A., Morichetta, A., Murturi, I., Loven, L., Dehury, C. K., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions. arXiv. https://doi.org/10.48550/arXiv.2311.17471
  • Learning-Driven Zero Trust in Distributed Computing Continuum Systems / Murturi, I., Donta, P. K., Casamayor Pujol, V., Morichetta, A., & Dustdar, S. (2023). Learning-Driven Zero Trust in Distributed Computing Continuum Systems. In 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 0044–0049). IEEE. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361352
    Projects: AloTwin (2023–2025) / TEADAL (2022–2025)
  • Demystifying deep learning in predictive monitoring for cloud-native SLOs / Morichetta, A., Pusztai, T. W., Vij, D., Casamayor Pujol, V., Raith, P. A., Xiong, Y., Nastic, S., Dustdar, S., & Zhang, Z. (2023). Demystifying deep learning in predictive monitoring for cloud-native SLOs. In C. A. ARDAGNA, N. Atukorala, P. Beckmann, C. C. Chang, Chang Rong N., C. Evangelinos, J. Fan, G. Fox, J. Fox, C. Hagleitner, Z. Jin, T. Kosar, & M. Parashar (Eds.), 2023 IEEE 16th International Conference on Cloud Computing (CLOUD) (pp. 1–11). IEEE. https://doi.org/10.1109/CLOUD60044.2023.00013
  • 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)
  • Distributed Computing Continuum Systems – Opportunities and Research Challenges / Casamayor Pujol, V., Donta, P. K., Morichetta, A., Murturi, I., & Dustdar, S. (2023). Distributed Computing Continuum Systems – Opportunities and Research Challenges. In J. Troya, R. MIRANDOLA, E. Navarro, A. Delgado, S. Segura, G. Ortiz, C. Pautasso, C. Zirpins, P. Fernandez, & A. Ruiz-Cortes (Eds.), Service-Oriented Computing – ICSOC 2022 Workshops (pp. 405–407). Springer Cham. https://doi.org/10.1007/978-3-031-26507-5_41
  • 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)
  • Towards a Prime Directive of SLOs / Casamayor Pujol, V., & Dustdar, S. (2023). Towards a Prime Directive of SLOs. In Proceedings 2023 IEEE International Conference on Software Services Engineering (IEEE SSE 2023) (pp. 61–70). IEEE. https://doi.org/10.1109/SSE60056.2023.00019

2022

2021

  • A roadmap on learning and reasoning for distributed computing continuum ecosystems / Morichetta, A., Casamayor Pujol, V., & Dustdar, S. (2021). A roadmap on learning and reasoning for distributed computing continuum ecosystems. In 2021 IEEE International Conference on Edge Computing (EDGE). IEEE International Conference on Edge Computing (EDGE 2021), Guangzhou, China. IEEE. https://doi.org/10.1109/edge53862.2021.00021
  • SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs / Pusztai, T., Morichetta, A., Casamayor Pujol, V., Dustdar, S., Nastic, S., Ding, X., Vij, D., & Xiong, Y. (2021). SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs. In C. K. Chang, E. Damiani, J. Fan, P. Ghodous, M. Maximilien, Z. Wang, R. Ward, & J. Zhang (Eds.), 2021 IEEE International Conference on Web Services (ICWS). IEEE. https://doi.org/10.1109/icws53863.2021.00017
  • A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs / Pusztai, T., Morichetta, A., Casamayor Pujol, V., Dustdar, S., Nastic, S., Ding, X., Vij, D., & Xiong, Y. (2021). A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs. In C. A. Ardagna, C. K. Chang, E. Damiani, R. Ranjan, Z. Wang, R. Ward, J. Zhang, & W. Zhang (Eds.), 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE. https://doi.org/10.1109/cloud53861.2021.00055
  • Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters / Nastic, S., Pusztai, T., Morichetta, A., Casamayor Pujol, V., Dustdar, S., Vij, D., & Xiong, Y. (2021). Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters. In C. A. Ardagna, C. K. Chang, E. Damiani, R. Ranjan, Z. Wang, R. Ward, J. Zhang, & W. Zhang (Eds.), 2021 IEEE 14th International Conference on Cloud Computing (CLOUD). IEEE. https://doi.org/10.1109/cloud53861.2021.00034
  • Towards a new paradigm for managing computing continuum applications / Casamayor Pujol, V., Raith, P., & Dustdar, S. (2021). Towards a new paradigm for managing computing continuum applications. In 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI) (pp. 180–188). IEEE. https://doi.org/10.1109/cogmi52975.2021.00032
  • Fog Robotics - Understanding the Research Challenges / Casamayor Pujol, V., & Dustdar, S. (2021). Fog Robotics - Understanding the Research Challenges. IEEE Internet Computing, 25(5), 10–17. https://doi.org/10.1109/mic.2021.3060963
    Project: FogProtect (2020–2022)