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

Informations projet

EMPYREAN

N° de convention de subvention: 101136024

DOI

10.3030/101136024

Date de signature de la CE 23 Novembre 2023

Date de début 1 Février 2024

Date de fin 31 Janvier 2027

Financé au titre de

• Digital, Industry and Space

Coût total

Aucune donnée

Contribution de l’UE

€ 4 673 517,95

Coordonné par

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

Conference proceedings (12)

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

Auteurs: Anderson Andrei Da Silva, Yiannis Georgiou, Michael Mercier, Gregory Mounié, Denis Trystram
Publié dans: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
Éditeur: ACM
DOI: 10.1145/3672608.3707941

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

Auteurs: 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
Publié dans: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Éditeur: ACM
DOI: 10.1145/3625549.3658814

Distributed Task Scheduling in Collaborative Edge Infrastructures with Graph Reinforcement Learning

Auteurs: P. Kokkinakis, P. Soumplis, E. Varvarigos
Publié dans: 2025
Éditeur: IEEE

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

Auteurs: Georgios Kontos, Polyzois Soumplis, Emmanouel Varvarigos
Publié dans: Proceedings of the 15th International Conference on Cloud Computing and Services Science, 2025
Éditeur: SCITEPRESS - Science and Technology Publications

Enabling Cloud-native IoT Device Management

Auteurs: A. Nanos, I. Plakas, G. Ntoutsos, and C. Mainas.
Publié dans: 2024
Éditeur: ACM
DOI: 10.5281/ZENODO.12091129

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

Auteurs: J. Bauwens, T. Chalazas, B. Callens, S. Cool, J. Van Beek, A. Kretsis, Y. Georgiou
Publié dans: Eurosoil 2025, 2025
Éditeur: -

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

Auteurs: J. M. Bernabé Murcia, A. Molina Zarca, E. Cánovas, S. Braghin, A. Skarmeta,
Publié dans: International Conference on Mobile Internet Security, 2024
Éditeur: -

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

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

Risk-Aware Resource Allocation in Edge Computing Using Stochastic Forecasting

Auteurs: Panagiotis Kokkinakis, Polizois Soumplis, Emmanouel Varvarigos
Publié dans: IEEE International Conference on Communications (ICC 2025), 2025
Éditeur: IEEE

Performance Evaluation of Robots Utilizing Approximation Computing Capabilities

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

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

Auteurs: Anastassios Nanos, Charalampos Mainas, Konstantinos Papazafeiropoulos, Apostolos Giannousas, Ilias Lagomatis, Aristotelis Kretsis
Publié dans: MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT Continuum, 2025
Éditeur: 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

Auteurs: Taurone, Francesco; Fehér, Marcell; Sipos, Marton; Lucani Rötter, Daniel Enrique
Publié dans: ACM International Conference on Distributed and Event-based System, 2024
Éditeur: ACM
DOI: 10.1145/3629104.3666039

Peer reviewed articles (2)

Web of shadows: Investigating malware abuse of internet services

Auteurs: Mauro Allegretta, Giuseppe Siracusano, Roberto González, Marco Gramaglia, Juan Caballero
Publié dans: Computers & Security, Numéro 149, 2024, ISSN 0167-4048
Éditeur: Elsevier BV
DOI: 10.1016/J.COSE.2024.104182

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

Auteurs: Ioannis Avramopoulos, Prodromos Makris, Emmanouel Varvarigos
Publié dans: Operations Research Letters, Numéro 61, 2025, ISSN 0167-6377
Éditeur: Elsevier BV
DOI: 10.1016/J.ORL.2025.107286