Vincenzo De Maio

According to our database, Vincenzo De Maio authored at least 31 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Paving the way to hybrid quantum-classical scientific workflows.

Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Ewa Deelman

Future Gener. Comput. Syst., 2024

Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks.

Sabrina Herbst, Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic

CoRR, 2024

FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts.

Josip Zilic, Vincenzo De Maio, Shashikant Ilager, Ivona Brandic

CoRR, 2024

On Optimizing Hyperparameters for Quantum Neural Networks.

Sabrina Herbst, Vincenzo De Maio, Ivona Brandic

CoRR, 2024

Training Computer Scientists for the Challenges of Hybrid Quantum-Classical Computing.

Vincenzo De Maio, Meerzhan Kanatbekova, Felix Zilk, Nicolai Friis, Tobias Guggemos, Ivona Brandic

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023

Sustainable Environmental Monitoring via Energy and Information Efficient Multinode Placement.

Sabtain Ahmad, Halit Uyanik, Tolga Ovatman, Mehmet Tahir Sandikkaya, Vincenzo De Maio, Ivona Brandic, Atakan Aral

IEEE Internet Things J., 2023

Accelerating Scientific Applications with the Quantum Edge: A Drug Design Use Case.

Vincenzo De Maio, Ivona Brandic

Proceedings of the High Performance Computing, 2023

Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case.

Sabrina Herbst, Vincenzo De Maio, Ivona Brandic

Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

Data-centric Edge-AI: A Symbolic Representation Use Case.

Shashikant Ilager, Vincenzo De Maio, Ivan Lujic, Ivona Brandic

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022

ARES: Reliable and Sustainable Edge Provisioning for Wireless Sensor Networks.

Atakan Aral, Vincenzo De Maio, Ivona Brandic

IEEE Trans. Sustain. Comput., 2022

SEA-LEAP: Self-Adaptive and Locality-Aware Edge Analytics Placement.

Ivan Lujic, Vincenzo De Maio, Srikumar Venugopal, Ivona Brandic

IEEE Trans. Serv. Comput., 2022

TAROT: Spatio-Temporal Function Placement for Serverless Smart City Applications.

Vincenzo De Maio, David Bermbach, Ivona Brandic

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

A Roadmap To Post-Moore Era for Distributed Systems.

Vincenzo De Maio, Atakan Aral, Ivona Brandic

Proceedings of the ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, 2022

Edge offloading for microservice architectures.

Josip Zilic, Vincenzo De Maio, Atakan Aral, Ivona Brandic

Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022

Molecular Dynamics Workflow Decomposition for Hybrid Classic/Quantum Systems.

Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Tu Mai Anh Do, Ewa Deelman

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Increasing Traffic Safety with Real-Time Edge Analytics and 5G.

Ivan Lujic, Vincenzo De Maio, Klaus Pollhammer, Ivan Bodrozic, Josip Lasic, Ivona Brandic

Proceedings of the EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, 2021

2020

Resilient Edge Data Management Framework.

Ivan Lujic, Vincenzo De Maio, Ivona Brandic

IEEE Trans. Serv. Comput., 2020

A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers.

Ennio Torre, Juan José Durillo, Vincenzo De Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan

Inf. Softw. Technol., 2020

Multi-objective scheduling of extreme data scientific workflows in Fog.

Vincenzo De Maio, Dragi Kimovski

Future Gener. Comput. Syst., 2020

Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences.

Alfredo Cuzzocrea, Vincenzo De Maio, Edoardo Fadda

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019

Multi-Objective Mobile Edge Provisioning in Small Cell Clouds.

Vincenzo De Maio, Ivona Brandic

Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, 2019

Energy and Profit-Aware Proof-of-Stake Offloading in Blockchain-based VANETs.

Vincenzo De Maio, Rafael Brundo Uriarte, Ivona Brandic

Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

Energy aware ultrascale systems.

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

Proceedings of the Ultrascale Computing Systems, 2019

2018

Adaptive Recovery of Incomplete Datasets for Edge Analytics.

Ivan Lujic, Vincenzo De Maio, Ivona Brandic

Proceedings of the 2nd IEEE International Conference on Fog and Edge Computing, 2018

First Hop Mobile Offloading of DAG Computations.

Vincenzo De Maio, Ivona Brandic

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

A Rehabilitation System for Post-operative Heart Surgery.

Giuseppe Caggianese, Mariaconsiglia Calabrese, Vincenzo De Maio, Giuseppe De Pietro, Armando Faggiano, Luigi Gallo, Giovanna Sannino, Carmine Vecchione

Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017

Efficient Edge Storage Management Based on Near Real-Time Forecasts.

Ivan Lujic, Vincenzo De Maio, Ivona Brandic

Proceedings of the 1st IEEE International Conference on Fog and Edge Computing, 2017

2016

Modelling energy consumption of network transfers and virtual machine migration.

Vincenzo De Maio, Radu Prodan, Shajulin Benedict, Gabor Kecskemeti

Future Gener. Comput. Syst., 2016

An improved model for live migration in data centre simulators.

Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan

Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016

2015

A Workload-Aware Energy Model for Virtual Machine Migration.

Vincenzo De Maio, Gabor Kecskemeti, Radu Prodan

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

Evaluating Energy Efficiency of Gigabit Ethernet and Infiniband Software Stacks in Data Centres.

Vincenzo De Maio, Vlad Nae, Radu Prodan

Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014