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Latest revision as of 13:05, 8 May 2026

FLUIDOS

Flexible, scaLable and secUre decentralIzeD Operating System

Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101070473

Project description:

FluiDOS leverages the enormous, unused processing capacity at the edge, scattered across heterogeneous edge devices that struggle to integrate with each other and to coherently form a seamless computing continuum. By way of a disruptive, open-source paradigm that hinges upon secure protocols for advertisement and discovery, AI-powered resource orchestration and intent-based service integration, FluiDOS will create a fluid, dynamic, scalable and trustable computing continuum that spans across devices, unifies edge and cloud in an energy-aware fashion, and possibly extends beyond administrative boundaries. Notwithstanding its innovation signature, FluiDOS will build upon consolidated Operating Systems and orchestration solutions like Kubernetes, on top of which it will provide a new, enriched layer enacting resource sharing through advertisement/agreement procedures (in the horizontal dimension), and hierarchical aggregation of nodes, inspired by Inter-domain routing in the Internet (in the vertical dimension). Intent-based orchestration will leverage advanced AI Algorithms to optimize costs and energy usage in the continuum, promoting efficient usage of edge resources. A Zero-Trust paradigm will allow FluiDOS to securely control and access geographically diverse resources, while Trusted Platform Modules will provide strong isolation and guarantee a safe deployment of applications and services. FluiDOS will pursue the above goals through the creation of an open, collaborative ecosystem, focused on the development of a multi-stakeholder market of edge services and applications, promoting European digital autonomy. The involvement of stakeholders is planned from the outset of the project through pilots and demonstrator in the fields of intelligent energy, agriculture and logistics, which will challenge FluiDOS capabilities to adapt to different environments and operating conditions, while showcasing its ground-breaking innovation potential.

EuroVoc IDs: /natural sciences/computer and information sciences/internet

EU Programme: Horizon Europe

EU Project

Project publications:

EU ProjectHas TitleHas CategoryHas TypeHas YearHas DOI
FLUIDOSCross-Domain Telemetry Architecture: Real-Time Metrics in the Computing ContinuumCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.5281/ZENODO.14938299
FLUIDOSDynamic Frequency-Based Side-Channel Attack against Modern Sandbox EnvironmentsCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/EuroSP60621.2024.00025.
FLUIDOSIdentity and Access Management for the Computing ContinuumCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3721889.3721926
FLUIDOSEnergy Efficient Deep-Edge Computing through Hardware Machine LearningCloud, Edge, and Continuum ComputingConference proceedings https://doi.org/10.1109/WF-IOT58464.2023.10539522
FLUIDOSBenchmarking Different Strategies for Offloading ROS2 Computation to the EdgeCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/NetSoft60951.2024.10588914
FLUIDOSMIMO: a Framework for Extensible and Flexible Intent-based Workload Meta-OrchestrationCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1145/3721889.3721921
FLUIDOSLatency-aware Scheduling in the Cloud-Edge ContinuumCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/NOMS59830.2024.10575183
FLUIDOSAmbusher: Exploring the Security of Distributed SDN Controllers Through Protocol State FuzzingCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/TIFS.2024.3402967
FLUIDOSScheduling Latency-Sensitive Tasks in the Cloud Continuum with Hierarchical Reinforcement LearningCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/NOMS57970.2025.11073729
FLUIDOSPruning Federated Learning Models for AnomalyCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.1109/BigData59044.2023.10386446
FLUIDOSDemonstrating Runtime Microservice ReschedulingCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/ICIN60470.2024.10494495
FLUIDOSOnline Learning and Model Pruning Against Concept Drifts in Edge DevicesCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/NetSoft60951.2024.10588946
FLUIDOSBalancing Energy Efficiency and Infrastructure Knowledge in Cloud-to-Edge Task Distribution SystemsCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1145/3642975.3678965
FLUIDOSMeasured Firmware Management for Integrity of Edge DevicesCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/ISCAS56072.2025.11043882
FLUIDOSIs the Computing Continuum Already Here?Cloud, Edge, and Continuum ComputingConference proceedings2022https://doi.org/10.48550/arXiv.2309.09822
FLUIDOSBy-default Security Orchestration on distributed Edge/Cloud Computing FrameworkCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.1109/NETSOFT57336.2023.10175478
FLUIDOSResource-Efficient Federated LearningCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/NetSoft60951.2024.10588938
FLUIDOSEnhancing Network Intrusion Detection: An Online Methodology for Performance AnalysisCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.1109/NetSoft57336.2023.10175465
FLUIDOSA Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes ManifestCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.18653/V1/2025.ACL-INDUSTRY.27
FLUIDOSEnabling Compute and Data Sovereignty with Infrastructure-Level Data SpacesCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.1145/3624486.3624509
FLUIDOSIoT Devices Resource Management through Extending Kubernetes Device PluginCloud, Edge, and Continuum ComputingConference proceedings2025https://doi.org/10.1109/SSI65953.2025.11107219
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