Wissenschaftliche Artikel

Pusztai, T., & Nastic, S. (2025). ChunkFunc: Dynamic SLO-Aware Configuration of Serverless Functions. IEEE Transactions on Parallel and Distributed Systems, 36(6), 1237–1252. https://doi.org/10.1109/TPDS.2025.3559021 ( reposiTUm)

Beiträge in Tagungsbänden

Arcanjo Marcelino, C. K., Gollhofer-Berger, S., Pusztai, T. W., & Nastic, S. (2025). Cosmos: A Cost Model for Serverless Workflows in the 3D Compute Continuum. In 2025 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 106–113). IEEE. https://doi.org/10.1109/SMARTCOMP65954.2025.00072 ( reposiTUm)
Helcig, M., & Nastic, S. (2025). FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting. In 2025 IEEE 9th International Conference on Fog and Edge Computing (ICFEC) (pp. 50–57). IEEE. https://doi.org/10.1109/ICFEC65699.2025.00012 ( reposiTUm)

Preprints

Marcelino, C., Gollhofer-Berger, S., Pusztai, T., & Nastic, S. (2025). Cosmos: A Cost Model for Serverless Workflows in the 3D Compute Continuum. arXiv. https://doi.org/10.34726/10220 ( reposiTUm)
Pusztai, T., Hisberger, J., Marcelino, C., & Nastic, S. (2025). Stardust: A Scalable and Extensible Simulator for the 3D Continuum. arXiv. https://doi.org/10.34726/10241 ( reposiTUm)
Helcig, M. A., & Nastic, S. (2025). FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting. arXiv. https://doi.org/10.34726/10421 ( reposiTUm)