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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Software-defined edge interconnect and service assurance mechanisms (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)
Low-code application description, seamless deployment and analytic-friendly distributed storage (opens in new window)

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 (opens in new window)
Factsheet, project presentation and website development (opens in new window)

Publications

FOA-Energy: A Multi-objective Energy-Aware Scheduling Policy for Serverless-based Edge-Cloud Continuum (opens in new window)

Author(s): Anderson Andrei Da Silva, Yiannis Georgiou, Michael Mercier, Gregory Mounié, Denis Trystram
Published in: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025
Publisher: ACM
DOI: 10.1145/3672608.3707941

EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing (opens in new window)

Author(s): 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
Published in: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Publisher: ACM
DOI: 10.1145/3625549.3658814

Distributed Task Scheduling in Collaborative Edge Infrastructures with Graph Reinforcement Learning

Author(s): P. Kokkinakis, P. Soumplis, E. Varvarigos
Published in: 2025
Publisher: IEEE

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

Author(s): Georgios Kontos, Polyzois Soumplis, Emmanouel Varvarigos
Published in: Proceedings of the 15th International Conference on Cloud Computing and Services Science, 2025
Publisher: SCITEPRESS - Science and Technology Publications

Enabling Cloud-native IoT Device Management (opens in new window)

Author(s): A. Nanos, I. Plakas, G. Ntoutsos, and C. Mainas.
Published in: 2024
Publisher: ACM
DOI: 10.5281/ZENODO.12091129

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

Author(s): J. Bauwens, T. Chalazas, B. Callens, S. Cool, J. Van Beek, A. Kretsis, Y. Georgiou
Published in: Eurosoil 2025, 2025
Publisher: -

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

Author(s): J. M. Bernabé Murcia, A. Molina Zarca, E. Cánovas, S. Braghin, A. Skarmeta,
Published in: International Conference on Mobile Internet Security, 2024
Publisher: -

Secure Federated Learning in Distributed Environments: A Blockchain-Based Approach (opens in new window)

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

Risk-Aware Resource Allocation in Edge Computing Using Stochastic Forecasting

Author(s): Panagiotis Kokkinakis, Polizois Soumplis, Emmanouel Varvarigos
Published in: IEEE International Conference on Communications (ICC 2025), 2025
Publisher: IEEE

Performance Evaluation of Robots Utilizing Approximation Computing Capabilities (opens in new window)

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

MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT (opens in new window)

Author(s): Anastassios Nanos, Charalampos Mainas, Konstantinos Papazafeiropoulos, Apostolos Giannousas, Ilias Lagomatis, Aristotelis Kretsis
Published in: MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT Continuum, 2025
Publisher: 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 (opens in new window)

Author(s): Taurone, Francesco; Fehér, Marcell; Sipos, Marton; Lucani Rötter, Daniel Enrique
Published in: ACM International Conference on Distributed and Event-based System, 2024
Publisher: ACM
DOI: 10.1145/3629104.3666039

Web of shadows: Investigating malware abuse of internet services (opens in new window)

Author(s): Mauro Allegretta, Giuseppe Siracusano, Roberto González, Marco Gramaglia, Juan Caballero
Published in: Computers & Security, Issue 149, 2024, ISSN 0167-4048
Publisher: Elsevier BV
DOI: 10.1016/J.COSE.2024.104182

Optimal procurement under backwardation and the benefits of the manifestation of demand aggregators (opens in new window)

Author(s): Ioannis Avramopoulos, Prodromos Makris, Emmanouel Varvarigos
Published in: Operations Research Letters, Issue 61, 2025, ISSN 0167-6377
Publisher: Elsevier BV
DOI: 10.1016/J.ORL.2025.107286

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