Nastic, S. (2024). Self-provisioning infrastructures for the next generation serverless computing. SN Computer Science, 5, Article 678. https://doi.org/10.1007/s42979-024-03022-w ( reposiTUm)

Ristov, S., Hautz, M., Gritsch, P., Nastic, S., Prodan, R., & Felderer, M. (2025). STORELESS: Serverless Workflow Scheduling with Federated Storage in Sky Computing. In W. Gaaloul, M. Sheng, Q. Yu, & S. Yangui (Eds.), Service-Oriented Computing : 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3–6, 2024, Proceedings, Part II (pp. 35–44). Springer Singapore. https://doi.org/10.1007/978-981-96-0808-9_3 ( reposiTUm)

Arcanjo Marcelino, C. K., & Nastic, S. (2025). Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum. In 2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing (UCC) (pp. 53–62). IEEE. https://doi.org/10.1109/UCC63386.2024.00017 ( reposiTUm)

Gajanin, R., Danilenka, A., Morichetta, A., & Nastic, S. (2025). Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition. In E. Peltonen, S. Hyrynsalmi, I. Wagner, J. S. Rellermeyer, & N. Mohan (Eds.), IoT ’24 : Proceedings of the 14th International Conference on the Internet of Things (pp. 38–46). ACM. https://doi.org/10.1145/3703790.3703795 ( reposiTUm)

Pusztai, T. W., Arcanjo Marcelino, C. K., & Nastic, S. (2024). HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum. In 2024 IEEE/ACM Symposium on Edge Computing (SEC) (pp. 265–278). IEEE. https://doi.org/10.1109/SEC62691.2024.00028 ( reposiTUm)

Maresch, M., & Nastic, S. (2024). VATE: Edge-Cloud System for Object Detection in Real-Time Video Streams. In 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC) (pp. 27–34). IEEE. https://doi.org/10.1109/ICFEC61590.2024.00017 ( reposiTUm)

Goronjic, V., & Nastic, S. (2024). MISO: A CRDT-based Middleware for Stateful Objects in the Serverless Edge-Cloud Continuum. In 2024 IEEE International Conference on Cloud Engineering (IC2E) (pp. 55–65). IEEE. https://doi.org/10.1109/IC2E61754.2024.00013 ( reposiTUm)

Marcelino, C., Shahhoud, J., & Nastic, S. (2024). GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum. In E. Peltonen, S. Hyrynsalmi, I. Wagner, J. Rellermeyer, & N. Mohan (Eds.), IoT ’24 : Proceedings of the 14th International Conference on the Internet of Things (pp. 56–64). ACM. https://doi.org/10.1145/3703790.3703797 ( reposiTUm)

Nastic, S. (2024, June 12). AI Transformation: A Journey Towards Compound AI Systems [Presentation]. Artificial Intelligence -  mit smarten Daten in die Zukunft, Linz, Austria. ( reposiTUm)

Pusztai, T., Arcanjo Marcelino, C. K., & Nastic, S. (2024). HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum. arXiv. https://doi.org/10.34726/8462 ( reposiTUm)

Arcanjo Marcelino, C. K., & Nastic, S. (2024). Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum. arXiv. https://doi.org/10.34726/8460 ( reposiTUm)

Arcanjo Marcelino, C. K., Shahhoud, J., & Nastic, S. (2024). GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum. arXiv. https://doi.org/10.34726/9719 ( reposiTUm)

Gajanin, R., Danilenka, A., Morichetta, A., & Nastic, S. (2024). Towards adaptive asynchronous federated learning for human activity recognition. arXiv. https://doi.org/10.34726/9720 ( reposiTUm)