TU Wien Informatics

20 Years

Role

  • FTUW SLO management framework / Pusztai, T. W. (2023, September 6). FTUW SLO management framework [Presentation]. Hands-on Workshops of the AIoTwin 1st Summer School 2023, Sibenik, Croatia.
    Project: AloTwin (2023–2025)
  • 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
  • Vela: A 3-Phase Distributed Scheduler for the Edge-Cloud Continuum / Pusztai, T., Nastic, S., Raith, P., Dustdar, S., Vij, D., & Xiong, Y. (2023). Vela: A 3-Phase Distributed Scheduler for the Edge-Cloud Continuum. In Proceedings 2023 IEEE International Conference on Cloud Engineering (IC2E 2023) (pp. 161–172). IEEE. https://doi.org/10.1109/IC2E59103.2023.00026
    Project: RAINBOW (2020–2022)
  • High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation / Bartelucci, N., Bellavista, P., Pusztai, T., Morichetta, A., & Dustdar, S. (2022). High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation. 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/icfec54809.2022.00017
  • Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge / Pusztai, T., Nastic, S., Morichetta, A., Casamayor Pujol, V., Raith, P., Dustdar, S., Vij, D., Xiong, Y., & Zhang, Z. (2022). Polaris Scheduler: SLO- and Topology-aware Microservices Scheduling at the Edge. In Proceedings 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC 2022) (pp. 61–70). IEEE. https://doi.org/10.1109/UCC56403.2022.00017
    Project: RAINBOW (2020–2022)
  • A Serverless Computing Fabric for Edge & Cloud / Nastic, S., Raith, P., Furutanpey, A., Pusztai, T., & Dustdar, S. (2022). A Serverless Computing Fabric for Edge & Cloud. In Proceedings 2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI) (pp. 1–12). IEEE. https://doi.org/10.1109/CogMI56440.2022.00011
  • Rainbow H2020 / Pusztai, T., Trihinas, D., Gouvas, P., Pacella, F., & Psomiadis, V. (2021). Rainbow H2020. 3rd Workshop on Cyber-Security Arms Race (CYSARM 2021) EU Project Presentations co-located with ACM CCS 2021 - Online Conference, South Korea, Korea (the Democratic People’s Republic of). http://hdl.handle.net/20.500.12708/87224
    Project: RAINBOW (2020–2022)
  • 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
  • Pogonip: Scheduling Asynchronous Applications on the Edge / Pusztai, T., Rossi, F., & Dustdar, S. (2021). Pogonip: Scheduling Asynchronous Applications on the Edge. 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/cloud53861.2021.00085
    Project: RAINBOW (2020–2022)
  • 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
  • SLOC: Service Level Objectives for Next Generation Cloud Computing / Nastic, S., Morichetta, A., Pusztai, T., Dustdar, S., Ding, X., Vij, D., & Xiong, Y. (2020). SLOC: Service Level Objectives for Next Generation Cloud Computing. IEEE Internet Computing, 24(3), 39–50. https://doi.org/10.1109/mic.2020.2987739
  • Model-based design and architecture of fog computing applications / Pusztai, T. W. (2019). Model-based design and architecture of fog computing applications [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79496