Towards a functional continuum operating system

HORIZON.2.4HORIZON-RIAID: 101070177
EC Contribution
€109,977
Consortium Size
26 orgs
Summary

The unstoppable proliferation of novel computing and sensing device technologies, and the ever-growing demand for data-intensive applications in the edge and cloud, are driving a paradigm shift in computing around dynamic, intelligent and yet seamless interconnection of IoT, edge and cloud resources, in one single computing system to form a continuum. Many research initiatives have focused on deploying a sort of management plane intended to properly manage the continuum. Simultaneously, several solutions exist aimed at managing edge and cloud systems through not suitably addressing the whole continuum challenges though. The next step is, with no doubt, the design of an extended, open, secure, trustable, adaptable, technology agnostic and much more complete management strategy, covering the full continuum, i.e. IoT-to-edge-to-cloud, with a clear focus on the network connecting the whole stack, leveraging off-the-shell technologies (e.g., AI, data, etc.), but also open to accommodate novel services as technology progress goes on. The ICOS project aims at covering the set of challenges coming up when addressing this continuum paradigm, proposing an approach embedding a well-defined set of functionalities, ending up in the definition of an IoT2cloud Operating System (ICOS). Indeed, the main objective of the project ICOS is to design, develop and validate a meta operating system for a continuum, by addressing the challenges of: i) devices volatility and heterogeneity, continuum infrastructure virtualization and diverse network connectivity; ii) optimized and scalable service execution and performance, as well as resources consumptions, including power consumption; iii) guaranteed trust, security and privacy, and; iv) reduction of integration costs and effective mitigation of cloud provider lock-in effects, in a data-driven system built upon the principles of openness, adaptability, data sharing and a future edge market scenario for services and data.

Consortium (26)

Project Results (66)

Source: CORDIS, the EU research results database.

Publications (42)
5G/6G Architecture Evolution for XR and Metaverse: Feasibility Study, Security, and Privacy Challenges for Smart Culture Applications
IEEE Access· 2025DOI
Maria Christopoulou, Ioannis Koufos, George Xilouris, Nikos Dimitriou
Adaptive Machine Learning for Resource-Constrained Environments
Lecture Notes in Computer Science, Discovering Drift Phenomena in Evolving Landscapes· 2025DOI
Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
An Experimental Study of the Response Time in an Edge-Cloud Continuum with ClusterLink
Lecture Notes in Computer Science, Euro-Par 2024: Parallel Processing Workshops· 2025DOI
Marc Michalke, Fin Gentzen, Admela Jukan, Kfir Toledo, Etai Lev Ran
ClusterLink: Redefining Application Connectivity for the Multi-cloud Era
2025 IEEE 18th International Conference on Cloud Computing (CLOUD)· 2025DOI
Kfir Toledo, Pravein Govindan Kannan, Michal Malka, Etai Lev-Ran, Or Ozeri, Vita Bortnikov, Ziv Nevo, Kathy Barabash
Evaluating the Impact of Inter-Cluster Communications in Edge Computing
NOMS 2025-2025 IEEE Network Operations and Management Symposium· 2025DOI
Marc Michalke, Iulisloi Zacarias, Admela Jukan, Kfir Toledo, Etai Lev-Ran
ICOS: An Intelligent MetaOS for the Continuum
Proceedings of the 2nd International Workshop on MetaOS for the Cloud-Edge-IoT Continuum· 2025DOI
Jordi Garcia, Xavi Masip-Bruin, Anastasios Giannopoulos, Panagiotis Trakadas, Sebastián A. Cajas Ordoñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo, Marc Michalke, Admela Jukan, Artur Jaworski, Marcin Kotliński, Gabriele Giammatteo, Francesco D'Andria
Intelligent Edge Computing and Machine Learning: A Survey of Optimization and Applications
Future Internet· 2025DOI
Sebastián A. Cajas Ordóñez, Jaydeep Samanta, Andrés L. Suárez-Cetrulo, Ricardo Simón Carbajo
LOMOS: An AI-Based Runtime Security Monitoring System Fit for the Cloud Continuum
Lecture Notes in Computer Science, Euro-Par 2024: Parallel Processing Workshops· 2025DOI
Joao Pita Costa, Hrvoje Ratkajec, Daniel Vladušič, Tomaž Martinčič, Aleš Černivec, Justin Činkelj, Rosalia Davi, Simone Favrin, Lorenzo Gorza, Gilda di Marco
Multi-component Application Mapping Across the Continuum
Lecture Notes in Computer Science, Euro-Par 2024: Parallel Processing Workshops· 2025DOI
Jordi Garcia, Montse Farreras, Waseem Sajjad, Xavi Masip-Bruin
Navigating the Dynamic Heterogeneous Computing Sphere: The Role of EdgeHarbor as a Multi-edge Orchestrator
Lecture Notes in Computer Science, Euro-Par 2024: Parallel Processing Workshops· 2025DOI
Francesco D’Andria, Alex Volkov, Josep Martrat
Placing Computational Tasks Within Edge-Cloud Continuum: A DRL Delay Minimization Scheme
Lecture Notes in Computer Science, Euro-Par 2024: Parallel Processing Workshops· 2025DOI
Anastasios Giannopoulos, Andrés L. Suárez-Cetrulo, Xavi Masip-Bruin, Francesco D’Andria, Panagiotis Trakadas
Towards a Functional Continuum Operating System – ICOS MetaOS
Communications in Computer and Information Science, Global Internet of Things and Edge Computing Summit· 2025DOI
Artur Jaworski, Marcin Kotlinski, Izabela Zrazinska, Xavier Masip-Bruin, Jordi Garcia, Iman Esfandiyar
An Edge/Cloud Continuum with Wearable Kinetic Energy Harvesting IoT Devices in Remote Areas
ICC 2024 - IEEE International Conference on Communications· 2024DOI
Jasenka Dizdarević, David Blažević, Marla Grunewald, Admela Jukan
Benchmarking Performance of Various MQTT Broker Implementations in a Compute Continuum
2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)· 2024DOI
Jasenka Dizdarević, Marc Michalke, Admela Jukan, Xavi Masip-Bruin, Francesco D’Andria
Beyond Multi-Access Edge Computing: Essentials to Realize a Mobile, Constrained Edge
IEEE Communications Magazine· 2024DOI
Elisa, Rojas; Guimaraes, Carlos; de la Oliva, Antonio; Bernardos, Carlos Jesus; Gazda, Robert
COOLER: Cooperative Computation Offloading in Edge-Cloud Continuum Under Latency Constraints via Multi-Agent Deep Reinforcement Learning
2024 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)· 2024DOI
Anastasios Giannopoulos, Ilias Paralikas, Sotirios Spantideas, Panagiotis Trakadas
Data-Centric Service-Based Architecture for Edge-Native 6G Network
IEEE Communications Magazine· 2024DOI
Baldoni, Gabriele; Quevedo, Jose; Guimaraes, Carlos; De la Oliva, Antonio; Corsaro, Angelo
HOODIE: Hybrid Computation Offloading via Distributed Deep Reinforcement Learning in Delay-Aware Cloud-Edge Continuum
IEEE Open Journal of the Communications Society· 2024DOI
Anastasios E. Giannopoulos; Ilias Paralikas; Sotirios T. Spantideas; Panagiotis Trakadas
IEEE Access
IEEE Access· 2024DOI
Panagiotis K. Gkonis; Spyros Lavdas; George Vardoulias; Panagiotis Trakadas; Lambros Sarakis; Konstantinos Papadopoulos
IEEE Access
IEEE Access· 2024DOI
A. Angelopoulos, A. Giannopoulos, N. Nomikos, A. Kalafatelis, A. Hatziefremidis and P. Trakadas
SBNNR: Small-Size Bat-Optimized KNN Regression
Future Internet· 2024DOI
Seyghaly, Rasool; García Almiñana, Jordi; Masip Bruin, Xavier; Kuljanin, Jovana
Zenoh: Unifying Communication, Storage and Computation from the Cloud to the Microcontroller
2023 26th Euromicro Conference on Digital System Design (DSD)· 2024DOI
Angelo Corsaro, Luca Cominardi, Olivier Hecart, Gabriele Baldoni, Julien Enoch Pierre Avital, Julien Loudet, Carlos Guimares, Michael Ilyin, Dmitrii Bannov
A comprehensive survey on reinforcement-learning-based computation offloading techniques in Edge Computing Systems
Journal of Network and Computer Applications· 2023DOI
Diego Hortelano, Ignacio de Miguel, Ramón J. Durán Barroso, Juan Carlos Aguado, Noemí Merayo, Lidia Ruiz, Adrian Asensio, Xavi Masip-Bruin, Patricia Fernández, Rubén M. Lorenzo, Evaristo J. Abril
A Stacking Ensemble Learning Model for Waste Prediction in Offset Printing
Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications· 2023DOI
Alexandros S. Kalafatelis, Chris Trochoutsos, Anastasios E. Giannopoulos, Angelos Angelopoulos, Panagiotis Trakadas
A Survey on IoT-Edge-Cloud Continuum Systems: Status, Challenges, Use Cases, and Open Issues
Future Internet 2023· 2023DOI
Panagiotis Gkonis; Anastasios Giannopoulos; Panagiotis Trakadas; Xavi Masip-Bruin; Francesco D’Andria
An NIDS for Known and Zero-Day Anomalies
2023 19th International Conference on the Design of Reliable Communication Networks (DRCN)· 2023DOI
Hussain, Ayaz; Aguiló Gost, Francisco de Asis L.; Simó Mezquita, Ester; Marín Tordera, Eva; Masip Bruin, Xavier
Data Aging Matters: Federated Learning-Based Consumption Prediction in Smart Homes via Age-Based Model Weighting
Electronics, Vol 12, Iss 14, p 3054 (2023)· 2023DOI
Skianis, Konstantinos; Giannopoulos, Anastasios; Gkonis, Panagiotis; Trakadas, Panagiotis
Distributed Machine Learning and Native AI Enablers for End-to-End Resources Management in 6G
Electronics· 2023DOI
Orfeas Agis Karachalios, Anastasios Zafeiropoulos, Kimon Kontovasilis, Symeon Papavassiliou
Enhanced Smart Advertising through Federated Learning
IEEE Access· 2023DOI
R. Seyghaly, J. Garcia, X. Masip-Bruin and M. M. Varnamkhasti
Hierarchical Management of Extreme-Scale Task-Based Applications
Euro-Par 2023: Parallel Processing ISBN: 9783031396977· 2023DOI
Francesc Lordan; Gabriel Puigdemunt; Pere Vergés; Javier Conejero; Jorge Ejarque; Rosa M. Badia
Learning to Fulfill the User Demands in 5G-enabled Wireless Networks through Power Allocation: a Reinforcement Learning approach
· 2023DOI
A. Giannopoulos, S. Spantideas, N. Nomikos, A. Kalafatelis and P. Trakadas
Potential of implementing operational metasystems in agriculture using the ICOS project as an example
· 2023DOI
Esfandiyar, Iman
Runtime security monitoring by an interplay between rule matching and deep learning-based anomaly detection on logs
2023 19th International Conference on the Design of Reliable Communication Networks (DRCN)· 2023DOI
Antić, Jan; Costa, Joao Pita; Černivec, Aleš; Cankar, Matija; Martinčič, Tomaž; Potočnik, Aljaž; Elguezabal, Gorka Benguria; Leligou, Nelly; Boigues, Ismael Torres
Scaling Serverless Functions in Edge Networks: A Reinforcement Learning Approach
IEEE Conference on Global Communications (GLOBECOM)· 2023DOI
Bensalem, Mounir; Ipek, Erkan; Jukan, Admela
Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps
ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering· 2023DOI
Matija Cankar; Nenad Petrović; Joao Pita Costa; Aleš Černivec; Jan Antić; Tomaž Martinčič; Dejan Štepec
Towards Optimal Serverless Function Scaling in Edge Computing Network
IEEE International Conference on Communications (ICC)· 2023DOI
Bensalem, Mounir; Carpio, Francisco; Jukan, Admela
Uplink NOMA for UAV-Aided Maritime Internet-of-Things
· 2023DOI
N. Nomikos, A. Giannopoulos, P. Trakadas and G. K. Karagiannidis
A Dataflow-Oriented Approach for Machine-Learning-Powered Internet of Things Applications
Electronics 2023DOI
Gabriele Baldoni, Rafael Teixeira, Carlos Guimarães, Mário Antunes, Diogo Gomes, and Angelo Corsaro
Deploying AI-Based Applications with Serverless Computing in 6G Networks: An Experimental Study
M. Michalke, C. Muonagor and A. Jukan
Development of the EDGE-CLOUD solutions across domain
IBERGRID 2023DOI
Plociennik, M., Mueller, S., & Błaszczak, M.
Dual-Link Data Resilient Edge-to-cloud Communication Framework for Agricultural Robots
Iman Esfandiyar, Kamil Łukasz Młodzikowski
New challenges in the implementation of digital projects in agriculture
Scientific, technical and organizational in agriculture 2023DOI
Esfandiyar, I., & Lowinski, L.
Deliverables (23)
Demonstrators, pilots, prototypes
Documents, reports
Other Results (1)
Periodic Reporting for period 1 - ICOS (Towards a functional continuum operating system)