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

Digital, Industry & SpaceHORIZON-RIAID: 101136024
EC Contribution
€46,735
Consortium Size
11 orgs
Start Year
2024
Summary

EMPYREAN envisages a hyper-distributed computing paradigm, based on federations of collaborative and heterogeneous IoT devices and resources (e.g., on RISC-V) across different providers and networks. These federations, namely Associations, operate autonomously and interconnect seamlessly utilizing distributed, cognitive and dynamic AI-enabled decision-making, to balance computing tasks and data inside an Association as well as between Associations in a multi-agent manner and across central computing environments, optimizing resources and providing scalability, resiliency, energy efficiency and quality of service. An Association will constitute a trusted execution environment, while identity and data access management schemes will assure controlled access and confidentiality of data, utilizing Cluster 3 related outcomes from participating partners. EMPYREAN will also be empowered with automated tools and mechanisms for efficient data processing of AI-workloads and secure distributed edge storage. Developed technologies will also enable Associations-native application development and deployment, contributing to the entire application lifecycle and interoperability. EMPYREAN will provide open and standardized APIs, while utilizing and extending open-source platforms maintained by European companies from the consortium. EMPYREAN will demonstrate its advanced and innovative capabilities through three well-defined use cases that involve device- and data-rich applications in advanced manufacturing, smart agriculture and warehouse automation, involving AI-driven value extraction from high volume and dynamic IoT data generated by multiple sources (e.g., robots) at the edge of the network. Also, a South Korea based use case in smart factories will further showcase the benefits of the EMPYREAN’s technologies. EMPYREAN will develop its Association-based continuum through synergies with emerging IPCEI initiatives and EU bodies (e.g., GAIA-X, IDSA) by involved partners.

Consortium (11)

Project Results (25)

Source: CORDIS, the EU research results database.

Publications (14)
Distributed Task Scheduling in Collaborative Edge Infrastructures with Graph Reinforcement Learning
· 2025
P. Kokkinakis, P. Soumplis, E. Varvarigos
FOA-Energy: A Multi-objective Energy-Aware Scheduling Policy for Serverless-based Edge-Cloud Continuum
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing· 2025DOI
Anderson Andrei Da Silva, Yiannis Georgiou, Michael Mercier, Gregory Mounié, Denis Trystram
MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT
MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT Continuum· 2025DOI
Anastassios Nanos, Charalampos Mainas, Konstantinos Papazafeiropoulos, Apostolos Giannousas, Ilias Lagomatis, Aristotelis Kretsis
Optimal procurement under backwardation and the benefits of the manifestation of demand aggregators
Operations Research Letters· 2025DOI
Ioannis Avramopoulos, Prodromos Makris, Emmanouel Varvarigos
Optimization of Cloud-Native Application Execution over the Edge-Cloud Continuum Enabled by DVFS
Proceedings of the 15th International Conference on Cloud Computing and Services Science· 2025
Georgios Kontos, Polyzois Soumplis, Emmanouel Varvarigos
Performance Evaluation of Robots Utilizing Approximation Computing Capabilities
IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)· 2025DOI
P. Kokkinos, A. Kretsis, P. Soumplis, D. Konidaris, T. Kazolias and E. Varvarigos
Proximal Soil Sensing through AI-Driven Edge-Cloud Workflows in Agriculture Fields
Eurosoil 2025· 2025
J. Bauwens, T. Chalazas, B. Callens, S. Cool, J. Van Beek, A. Kretsis, Y. Georgiou
Risk-Aware Resource Allocation in Edge Computing Using Stochastic Forecasting
IEEE International Conference on Communications (ICC 2025)· 2025
Panagiotis Kokkinakis, Polizois Soumplis, Emmanouel Varvarigos
Secure Federated Learning in Distributed Environments: A Blockchain-Based Approach
IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)· 2025DOI
Cánovas Martínez, Eduardo; Bernabé Murcia, José Manuel; Braghin, Stefano; Nedoshivina, Liubov; Skarmeta Gómez, Antonio
Cross-Domain Telemetry Architecture: Real-Time Metrics in the Computing Continuum”
International Conference on Mobile Internet Security· 2024
J. M. Bernabé Murcia, A. Molina Zarca, E. Cánovas, S. Braghin, A. Skarmeta,
EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing· 2024DOI
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
Enabling Cloud-native IoT Device Management
· 2024DOI
A. Nanos, I. Plakas, G. Ntoutsos, and C. Mainas.
TREAT - Two wRongs makE A righT:Efficient distributed storage and queries of IoT datasets with erasure coding and compression
ACM International Conference on Distributed and Event-based System· 2024DOI
Taurone, Francesco; Fehér, Marcell; Sipos, Marton; Lucani Rötter, Daniel Enrique
Web of shadows: Investigating malware abuse of internet services
Computers & Security· 2024DOI
Mauro Allegretta, Giuseppe Siracusano, Roberto González, Marco Gramaglia, Juan Caballero
Deliverables (10)
Other Results (1)
Periodic Reporting for period 1 - EMPYREAN (EMPYREAN: TRUSTWORTHY, COGNITIVE AND AI-DRIVEN COLLABORATIVE ASSOCIATIONS OF IOT DEVICES AND EDGE RESOURCES FOR DATA PROCESSING)