TU Wien Informatics

20 Years

Role

  • The Cohabitation of Intelligence and Systems: Examples and Future Scenarios / Morichetta, A. (2023, November 2). The Cohabitation of Intelligence and Systems: Examples and Future Scenarios [Presentation]. SmartData Seminar at Politecnico di Torino, Turin, Italy.
  • Distributed Intelligence: The Next Leap for the Distributed Computing Continuum / Morichetta, A. (2023, October 23). Distributed Intelligence: The Next Leap for the Distributed Computing Continuum [Conference Presentation]. IEEE 9th World Forum on Internet of Things (WF-IoT 2023), Aveiro, Portugal.
  • 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
  • Intent-based Management for the Distributed Computing Continuum / Morichetta, A., Spring, N., Raith, P., & Dustdar, S. (2023). Intent-based Management for the Distributed Computing Continuum. In Proceedings : 17th IEEE International Conference on Service-Oriented System Engineering (IEEE SOSE 2023) (pp. 239–249). IEEE. https://doi.org/10.1109/SOSE58276.2023.00035
  • 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
  • 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)
  • FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study / Bekbulatova, V., Morichetta, A., & Dustdar, S. (2023). FL-SERENADE: Federated Learning for SEmi-supeRvisEd Network Anomaly DEtection. A Case Study. 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. 1072–1079). IEEE. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361504
  • 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
  • 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
  • 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)
  • Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective / Li, K., Wang, X., He, Q., Yi, B., Morichetta, A., & Huang, M. (2022). Cooperative Multiagent Deep Reinforcement Learning for Computation Offloading: A Mobile Network Operator Perspective. IEEE Internet of Things Journal, 9(23), 24161–24173. https://doi.org/10.1109/JIOT.2022.3189445
  • Exploring the Benefits of Blockchain Technology for MLOps Pipeline / Marcelletti, A., & Morichetta, A. (2022, 0 0). Exploring the Benefits of Blockchain Technology for MLOps Pipeline [Conference Presentation]. 3rd International Workshop on Foundations of Consensus and Distributed Ledgers (FOCODILE 2022) at DisCoTec 2022, Lucca, Italy.
  • BlinkRadar: Non-Intrusive Driver Eye-Blink Detection with UWB Radar / Hu, J., Jiang, H., Liu, D., Xiao, Z., Dustdar, S., Liu, J., Min, G., & Morichetta, A. (2022). BlinkRadar: Non-Intrusive Driver Eye-Blink Detection with UWB Radar. In Proceedings of the IEEE 42nd International Conference on Distributed Computing Systems (ICDCS 2022) (pp. 1040–1050). IEEE. https://doi.org/10.1109/ICDCS54860.2022.00104
  • 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: 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
  • 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
  • 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) - Hybrid Conference, Guangzhou, China, Non-EU. IEEE. https://doi.org/10.1109/edge53862.2021.00021
  • Understanding web pornography usage from traffic analysis / Morichetta, A., Trevisan, M., Vassio, L., & Krickl, J. (2021). Understanding web pornography usage from traffic analysis. Computer Networks, 189(107909), 107909. https://doi.org/10.1016/j.comnet.2021.107909
  • Towards website domain name classification using graph based semi-supervised learning / Faroughi, A., Morichetta, A., Vassio, L., Figueiredo, F., Mellia, M., & Javidan, R. (2021). Towards website domain name classification using graph based semi-supervised learning. Computer Networks, 188(107865), 107865. https://doi.org/10.1016/j.comnet.2021.107865
  • 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