Alessandro Vittorio Papadopoulos

Professor of Computer Engineering at DTU Compute

Research area

Resource allocation, elasticity, industrial IoT, and data streaming

My research explores how distributed computing infrastructures can allocate, adapt, and secure resources across the cloud–edge continuum. I develop feedback- and learning-based techniques for elasticity, container orchestration, application offloading, and stream processing, with particular emphasis on predictable performance, energy awareness, and industrial IoT applications.

Selected publications

  • Itani, W., Shamseddine, M., Al-Dulaimy, A., Nolte, T., & Papadopoulos, A. V. (2025). dcGUARD: A Holistic Approach for Secure Processing and Forwarding in Virtualized Cloud Data Centers. IEEE Transactions on Dependable and Secure Computing. https://doi.org/10.1109/TDSC.2025.3545338
  • Al-Dulaimy, A., Jansen, M., Johansson, B., Trivedi, A., Iosup, A., Ashjaei, M., Galletta, A., Kimovski, D., Prodan, R., Tserpes, K., Kousiouris, G., Giannakos, C., Brandic, I., Ali, N., Bondi, A., & Papadopoulos, A. V. (2024). The Computing Continuum: From IoT to the Cloud. Internet of Things, 27, 101272. https://doi.org/10.1016/j.iot.2024.101272
  • Struhár, V., Craciunas, S. S., Ashjaei, M., Behnam, M., & Papadopoulos, A. V. (2024). Hierarchical Resource Orchestration Framework for Real-Time Containers. ACM Transactions on Embedded Computing Systems, 23(1). https://doi.org/10.1145/3592856
  • Jansen, M., Al-Dulaimy, A., Papadopoulos, A. V., Trivedi, A., & Iosup, A. (2023). The SPEC-RG Reference Architecture for The Edge Continuum. 23rd IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 469–484. https://doi.org/10.1109/CCGrid57682.2023.00051
  • Gulisano, V., Najdataei, H., Nikolakopoulos, Y., Papadopoulos, A. V., Papatriantafilou, M., & Tsigas, P. (2022). STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing. IEEE Transactions on Parallel and Distributed Systems, 33(12), 4221–4238. https://doi.org/10.1109/TPDS.2022.3181979
  • Papadopoulos, A. V., Versluis, L., Bauer, A., Herbst, N., von Kistowski, J., Ali-Eldin, A., Abad, C. L., Amaral, J. N., Tůma, P., & Iosup, A. (2021). Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. IEEE Transactions on Software Engineering, 47(8), 1528–1543. https://doi.org/10.1109/TSE.2019.2927908
  • Papadopoulos, A. V., Ali-Eldin, A., Årzén, K.-E., Tordsson, J., & Elmroth, E. (2016). PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 1(4), 15:1–15:31. https://doi.org/10.1145/2930659

Main collaborators