EMPYREAN: TRUSTWORTHY, COGNITIVE AND AI-DRIVEN COLLABORATIVE ASSOCIATIONS OF IOT DEVICES AND EDGE RESOURCES FOR DATA PROCESSING

Informazioni relative al progetto

EMPYREAN

ID dell’accordo di sovvenzione: 101136024

DOI

10.3030/101136024

Data della firma CE 23 Novembre 2023

Data di avvio 1 Febbraio 2024

Data di completamento 31 Gennaio 2027

Finanziato da

• Digital, Industry and Space

Costo totale

Nessun dato

Contributo UE

€ 4 673 517,95

Coordinato da

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (7)

Software-defined edge interconnect and service assurance mechanisms

Software-defined edge interconnect and service assurance mechanisms (reports T3.1 & T3.2 activities for the first iteration)

Intelligent resource management, cyber threat intelligence and EMPYREAN Aggregator

Intelligent resource management, cyber threat intelligence and EMPYREAN Aggregator (reports T4.1 & T4.4 activities for the first iteration)

Security, trust and data management for distributed data processing

Security, trust and data management for distributed data processing (reports T3.1 & T3.2 activities for the first iteration)

Final EMPYREAN architecture, use cases analysis and KPIs
Low-code application description, seamless deployment and analytic-friendly distributed storage

Low-code application description, seamless deployment and analytic-friendly distributed storage (reports T4.2 & T4.3 activities for the first iteration)

Initial release of EMPYREAN integrated platform
Factsheet, project presentation and website development

Pubblicazioni

Conference proceedings (12)

FOA-Energy: A Multi-objective Energy-Aware Scheduling Policy for Serverless-based Edge-Cloud Continuum

Autori: Anderson Andrei Da Silva, Yiannis Georgiou, Michael Mercier, Gregory Mounié, Denis Trystram
Pubblicato in: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
Editore: ACM
DOI: 10.1145/3672608.3707941

EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing

Autori: Aristotelis Kretsis, Panagiotis Kokkinos, Emmanouel Varvarigos, Dimitris Syrivelis, Paraskevas Bakopoulos, Marton Sipos, Marcel Fehér, Daniel Lucani, Jose Manuel Bernabe, Antonio Skarmeta, Ivan Paez, Luca Cominardi, Michael Mercier, Pedro Velho, Yiannis Georgiou, Charalampos Mainas, Anastassios Nanos, Javier Martin, Aitor Fernandez Gomez, Roberto Gonzalez, Panos Ilias, Theodoros Chalazas, Keshav Chintamani
Pubblicato in: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Editore: ACM
DOI: 10.1145/3625549.3658814

Distributed Task Scheduling in Collaborative Edge Infrastructures with Graph Reinforcement Learning

Autori: P. Kokkinakis, P. Soumplis, E. Varvarigos
Pubblicato in: 2025
Editore: IEEE

Optimization of Cloud-Native Application Execution over the Edge-Cloud Continuum Enabled by DVFS

Autori: Georgios Kontos, Polyzois Soumplis, Emmanouel Varvarigos
Pubblicato in: Proceedings of the 15th International Conference on Cloud Computing and Services Science, 2025
Editore: SCITEPRESS - Science and Technology Publications

Enabling Cloud-native IoT Device Management

Autori: A. Nanos, I. Plakas, G. Ntoutsos, and C. Mainas.
Pubblicato in: 2024
Editore: ACM
DOI: 10.5281/ZENODO.12091129

Proximal Soil Sensing through AI-Driven Edge-Cloud Workflows in Agriculture Fields

Autori: J. Bauwens, T. Chalazas, B. Callens, S. Cool, J. Van Beek, A. Kretsis, Y. Georgiou
Pubblicato in: Eurosoil 2025, 2025
Editore: -

Cross-Domain Telemetry Architecture: Real-Time Metrics in the Computing Continuum”

Autori: J. M. Bernabé Murcia, A. Molina Zarca, E. Cánovas, S. Braghin, A. Skarmeta,
Pubblicato in: International Conference on Mobile Internet Security, 2024
Editore: -

Secure Federated Learning in Distributed Environments: A Blockchain-Based Approach

Autori: Cánovas Martínez, Eduardo; Bernabé Murcia, José Manuel; Braghin, Stefano; Nedoshivina, Liubov; Skarmeta Gómez, Antonio
Pubblicato in: IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), 2025
Editore: IEEE
DOI: 10.5281/ZENODO.15879796

Risk-Aware Resource Allocation in Edge Computing Using Stochastic Forecasting

Autori: Panagiotis Kokkinakis, Polizois Soumplis, Emmanouel Varvarigos
Pubblicato in: IEEE International Conference on Communications (ICC 2025), 2025
Editore: IEEE

Performance Evaluation of Robots Utilizing Approximation Computing Capabilities

Autori: P. Kokkinos, A. Kretsis, P. Soumplis, D. Konidaris, T. Kazolias and E. Varvarigos
Pubblicato in: IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), 2025
Editore: IEEEE
DOI: 10.1109/CCGRIDW65158.2025.00027

MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT

Autori: Anastassios Nanos, Charalampos Mainas, Konstantinos Papazafeiropoulos, Apostolos Giannousas, Ilias Lagomatis, Aristotelis Kretsis
Pubblicato in: MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT Continuum, 2025
Editore: IEEE
DOI: 10.1109/CCGRIDW65158.2025.00033

TREAT - Two wRongs makE A righT:Efficient distributed storage and queries of IoT datasets with erasure coding and compression

Autori: Taurone, Francesco; Fehér, Marcell; Sipos, Marton; Lucani Rötter, Daniel Enrique
Pubblicato in: ACM International Conference on Distributed and Event-based System, 2024
Editore: ACM
DOI: 10.1145/3629104.3666039

Peer reviewed articles (2)

Web of shadows: Investigating malware abuse of internet services

Autori: Mauro Allegretta, Giuseppe Siracusano, Roberto González, Marco Gramaglia, Juan Caballero
Pubblicato in: Computers & Security, Numero 149, 2024, ISSN 0167-4048
Editore: Elsevier BV
DOI: 10.1016/J.COSE.2024.104182

Optimal procurement under backwardation and the benefits of the manifestation of demand aggregators

Autori: Ioannis Avramopoulos, Prodromos Makris, Emmanouel Varvarigos
Pubblicato in: Operations Research Letters, Numero 61, 2025, ISSN 0167-6377
Editore: Elsevier BV
DOI: 10.1016/J.ORL.2025.107286