| Multi-objective scheduling of extreme data scientific workflows in Fog V De Maio, D Kimovski Future Generation Computer Systems 106, 171-184, 2020 | 91 | 2020 |
| First Hop Mobile Offloading of DAG Computations V De Maio, I Brandic 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018 | 80 | 2018 |
| Modelling energy consumption of network transfers and virtual machine migration V De Maio, R Prodan, S Benedict, G Kecskemeti Future Generation Computer Systems 56, 388-406, 2016 | 53 | 2016 |
| Efficient Edge Storage Management Based on Near Real-Time Forecasts I Lujic, V De Maio, I Brandic Proceedings of the first international conference on Fog and Edge computing …, 2017 | 39 | 2017 |
| A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers E Torre, JJ Durillo, V De Maio, P Agrawal, S Benedict, N Saurabh, ... Information and Software Technology 128, 2020 | 38 | 2020 |
| Multi-objective mobile edge provisioning in small cell clouds V De Maio, I Brandic Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019 | 37 | 2019 |
| Increasing Traffic Safety with Real-Time Edge Analytics and 5G I Lujić, V De Maio, K Pollhammer, I Bodrožić, J Lasić, I Brandić EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, Analytics …, 2021 | 33 | 2021 |
| ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks A Aral, V De Maio, I Brandic IEEE Transactions on Sustainable Computing, 2021 | 27 | 2021 |
| An Improved Model for Live Migration in Data Centre Simulators V De Maio, G Kecskemeti, R Prodan 16th International Symposium on Cluster, Cloud and Grid Computing, CCGrid …, 2016 | 26 | 2016 |
| A workload-aware energy model for virtual machine migration V De Maio, G Kecskemeti, R Prodan 2015 IEEE International Conference on Cluster Computing, 274-283, 2015 | 26 | 2015 |
| Energy and Profit-Aware Proof-of-Stake Offloading in Blockchain-based VANETs V De Maio, R Brundo Uriarte, I Brandic UCC 2019, 177-186, 2019 | 23 | 2019 |
| Adaptive Recovery of Incomplete Datasets for Edge Analytics I Lujic, V De Maio, I Brandic Fog and Edge Computing (ICFEC), 2018 IEEE 2nd International Conference on, 2018 | 18 | 2018 |
| Simulators and emulators for edge computing A Aral, V De Maio IET, 2020 | 16 | 2020 |
| Resilient edge data management framework I Lujic, V De Maio, I Brandic IEEE Transactions on Services Computing 13 (4), 663-674, 2019 | 13 | 2019 |
| Sea-leap: Self-adaptive and locality-aware edge analytics placement I Lujic, V De Maio, S Venugopal, I Brandic IEEE Transactions on Services Computing 15 (2), 602-613, 2021 | 11 | 2021 |
| Molecular dynamics workflow decomposition for hybrid classic/quantum systems SS Cranganore, V De Maio, I Brandic, TMA Do, E Deelman 2022 IEEE 18th International Conference on e-Science (e-Science), 346-356, 2022 | 10 | 2022 |
| Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences A Cuzzocrea, V De Maio, E Fadda COMPSAC 2020, 1344-1350, 2020 | 10 | 2020 |
| Sustainable environmental monitoring via energy and information efficient multi-node placement S Ahmad, H Uyanık, T Ovatman, MT Sandıkkaya, V De Maio, I Brandić, ... IEEE Internet of Things Journal, 2023 | 9 | 2023 |
| A roadmap to post-moore era for distributed systems V De Maio, A Aral, I Brandic Proceedings of the 2022 Workshop on Advanced tools, programming languages …, 2022 | 9 | 2022 |
| Data-centric Edge-AI: A Symbolic Representation Use Case S Ilager, V De Maio, I Lujic, I Brandic 2023 IEEE International Conference on Edge Computing and Communications …, 2023 | 8 | 2023 |
Ivona BrandicFull Professor for High Performance Computing Systems, TU Wientuwien.ac.at의 이메일 확인됨