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2020 – today
- 2024
[j8]Sandeep Suresh Cranganore
, Vincenzo De Maio, Ivona Brandic, Ewa Deelman:
Paving the way to hybrid quantum-classical scientific workflows. Future Gener. Comput. Syst. 158: 346-366 (2024)- [c22]Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk, Nicolai Friis, Tobias Guggemos, Ivona Brandic:
Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. CCGrid 2024: 626-635 - [c21]Sabrina Herbst, Vincenzo De Maio, Ivona Brandic:
On Optimizing Hyperparameters for Quantum Neural Networks. QCE 2024: 1478-1489 - [c20]Vincenzo De Maio, Dominik Bork, Ivona Brandic:
RIGOLETTO: A Workflow Definition Language for Hybrid Quantum-Classical Scientific Applications. CBI 2024: 40-49 - [i6]Sabrina Herbst, Vincenzo De Maio, Ivona Brandic:
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case. CoRR abs/2402.15542 (2024) - [i5]Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk, Nicolai Friis, Tobias Guggemos, Ivona Brandic:
Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing. CoRR abs/2403.00885 (2024) - [i4]Sabrina Herbst, Vincenzo De Maio, Ivona Brandic:
On Optimizing Hyperparameters for Quantum Neural Networks. CoRR abs/2403.18579 (2024) - [i3]Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Ewa Deelman:
Paving the Way to Hybrid Quantum-Classical Scientific Workflows. CoRR abs/2404.10389 (2024) - [i2]Josip Zilic, Vincenzo De Maio, Shashikant Ilager, Ivona Brandic:
FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts. CoRR abs/2410.06715 (2024) - [i1]Sabrina Herbst, Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic:
Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks. CoRR abs/2410.09470 (2024) - 2023
- [j7]Sabtain Ahmad, Halit Uyanik, Tolga Ovatman, Mehmet Tahir Sandikkaya, Vincenzo De Maio, Ivona Brandic, Atakan Aral:
Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement. IEEE Internet Things J. 10(24): 22065-22079 (2023) - [c19]Shashikant Ilager, Vincenzo De Maio, Ivan Lujic, Ivona Brandic:
Data-centric Edge-AI: A Symbolic Representation Use Case. EDGE 2023: 301-308 - [c18]Sabrina Herbst, Vincenzo De Maio, Ivona Brandic:
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case. Euro-Par Workshops (1) 2023: 177-188 - [c17]Vincenzo De Maio, Ivona Brandic:
Accelerating Scientific Applications with the Quantum Edge: A Drug Design Use Case. ISC Workshops 2023: 134-143 - 2022
- [j6]Ivan Lujic, Vincenzo De Maio, Srikumar Venugopal, Ivona Brandic:
SEA-LEAP: Self-Adaptive and Locality-Aware Edge Analytics Placement. IEEE Trans. Serv. Comput. 15(2): 602-613 (2022) - [j5]Atakan Aral, Vincenzo De Maio, Ivona Brandic:
ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks. IEEE Trans. Sustain. Comput. 7(4): 761-773 (2022) - [c16]Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Tu Mai Anh Do, Ewa Deelman:
Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems. e-Science 2022: 346-356 - [c15]Josip Zilic, Vincenzo De Maio, Atakan Aral, Ivona Brandic:
Edge offloading for microservice architectures. EdgeSys@EuroSys 2022: 1-6 - [c14]Vincenzo De Maio, Atakan Aral, Ivona Brandic:
A Roadmap To Post-Moore Era for Distributed Systems. ApPLIED@PODC 2022: 30-34 - [c13]Vincenzo De Maio, David Bermbach, Ivona Brandic:
TAROT: Spatio-Temporal Function Placement for Serverless Smart City Applications. UCC 2022: 21-30 - 2021
- [c12]Ivan Lujic, Vincenzo De Maio, Klaus Pollhammer, Ivan Bodrozic, Josip Lasic, Ivona Brandic:
Increasing Traffic Safety with Real-Time Edge Analytics and 5G. EdgeSys@EuroSys 2021: 19-24 - 2020
- [j4]Vincenzo De Maio, Dragi Kimovski:
Multi-objective scheduling of extreme data scientific workflows in Fog. Future Gener. Comput. Syst. 106: 171-184 (2020) - [j3]Ennio Torre, Juan José Durillo, Vincenzo De Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan:
A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers. Inf. Softw. Technol. 128: 106390 (2020) - [j2]Ivan Lujic, Vincenzo De Maio, Ivona Brandic:
Resilient Edge Data Management Framework. IEEE Trans. Serv. Comput. 13(4): 663-674 (2020) - [c11]Alfredo Cuzzocrea, Vincenzo De Maio, Edoardo Fadda:
Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences. COMPSAC 2020: 1344-1350
2010 – 2019
- 2019
- [c10]Vincenzo De Maio, Rafael Brundo Uriarte, Ivona Brandic:
Energy and Profit-Aware Proof-of-Stake Offloading in Blockchain-based VANETs. UCC 2019: 177-186 - [c9]Vincenzo De Maio, Ivona Brandic:
Multi-Objective Mobile Edge Provisioning in Small Cell Clouds. ICPE 2019: 127-138 - [p1]Ariel Oleksiak, Laurent Lefèvre, Pedro Alonso, Georges Da Costa, Vincenzo De Maio, Neki Frasheri, Víctor M. García, Joel E. Guerrero, Sébastien Lafond, Alexey L. Lastovetsky, Ravi Reddy Manumachu, Benson Muite, Anne-Cécile Orgerie, Wojciech Piatek, Jean-Marc Pierson, Radu Prodan, Patricia Stolf, Enida Sheme, Sébastien Varrette:
Energy aware ultrascale systems. Ultrascale Computing Systems 2019: 127-188 - 2018
- [c8]Vincenzo De Maio, Ivona Brandic:
First Hop Mobile Offloading of DAG Computations. CCGrid 2018: 83-92 - [c7]Ivan Lujic, Vincenzo De Maio, Ivona Brandic:
Adaptive Recovery of Incomplete Datasets for Edge Analytics. ICFEC 2018: 1-10 - 2017
- [c6]Ivan Lujic, Vincenzo De Maio, Ivona Brandic:
Efficient Edge Storage Management Based on Near Real-Time Forecasts. ICFEC 2017: 21-30 - [c5]Giuseppe Caggianese, Mariaconsiglia Calabrese, Vincenzo De Maio, Giuseppe De Pietro, Armando Faggiano, Luigi Gallo, Giovanna Sannino, Carmine Vecchione:
A Rehabilitation System for Post-operative Heart Surgery. IIMSS 2017: 554-564 - 2016
- [j1]Vincenzo De Maio, Radu Prodan, Shajulin Benedict, Gabor Kecskemeti:
Modelling energy consumption of network transfers and virtual machine migration. Future Gener. Comput. Syst. 56: 388-406 (2016) - [c4]Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan:
An Improved Model for Live Migration in Data Centre Simulators. CCGrid 2016: 527-530 - [c3]Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan:
An improved model for live migration in data centre simulators. UCC 2016: 108-117 - 2015
- [c2]Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan:
A Workload-Aware Energy Model for Virtual Machine Migration. CLUSTER 2015: 274-283 - 2014
- [c1]Vincenzo De Maio, Vlad Nae, Radu Prodan:
Evaluating Energy Efficiency of Gigabit Ethernet and Infiniband Software Stacks in Data Centres. UCC 2014: 21-28
Coauthor Index
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