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Created page with "==EU Project short name::aerOS== ===EU Project full name::Flexible, scaLable and secUre decentralIzeD Operating System=== '''Full project details (EU Research results portal):''' CORDIS URL::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 seamle..."
 
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==[[EU Project short name::aerOS]]==
==[[EU Project short name::aerOS]]==
===[[EU Project full name::Flexible, scaLable and secUre decentralIzeD Operating System]]===
===[[EU Project full name::Autonomous, scalablE, tRustworthy, intelligent European meta Operating System for the IoT edge-cloud continuum]]===
'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101070473]]
'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101069732]]


=== '''Project description:''' ===
=== '''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.
The project aerOS aims at transparently utilising the resources on the edge-to-cloud computing continuum for enabling applications in aneffective manner, incorporating multiple services deployed on such a path. Therefore, aerOS will establish the missing piece: a commonmeta operating system that follows a collaborative IoT-edge–cloud architecture supporting flexible deployments (e.g., federated orhierarchical), bringing tremendous benefits as it enables the distribution of intelligence and computation – including Artificial Intelligence(AI), Machine Learning (ML), and big data analytics – to achieve an optimal solution while satisfying the given constraints.The overarching goal of aerOS is to design and build a virtualized, platform-agnostic meta operating system for the IoT edge-cloud continuum. As a solution, to be executed on any Infrastructure Element within the IoT edge-cloud continuum – hence, independent from underlying hardware and operating system(s) – aerOS will: (i) deliver common virtualized services to enable orchestration, virtual communication (network-related programmable functions), and efficient support for frugal, explainable AI and creation of distributed data-driven applications; (ii) expose an API to be available anywhere and anytime (location-time independent), flexible, resilient and platform-agnostic; and (iii) include a set of infrastructural services and features addressing cybersecurity, trustworthiness and manageability. aerOS will: (a) use context-awareness to distribute software task (application) execution requests; (b) support intelligence as close to the events as possible; (c) support execution of services using “abstract resources” (e.g., virtual machines, containers) connected through a smart network infrastructure; (d) allocate and orchestrate abstract resources, responsible for executing service chain(s) and (e) support for scalable data autonomy.


'''EuroVoc IDs:''' [[EuroVoc ID::/natural sciences/computer and information sciences/internet]]
'''EuroVoc IDs:''' [[EuroVoc ID::/natural sciences/computer and information sciences/internet/internet of things]]


'''EU Programme:'''
'''EU Programme:'''
[[Programme::Horizon Europe]]
[[Programme::Horizon Europe]]
[[ItemType::EU Project]]
'''Project publications:'''
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Latest revision as of 12:56, 8 May 2026

aerOS

Autonomous, scalablE, tRustworthy, intelligent European meta Operating System for the IoT edge-cloud continuum

Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101069732

Project description:

The project aerOS aims at transparently utilising the resources on the edge-to-cloud computing continuum for enabling applications in aneffective manner, incorporating multiple services deployed on such a path. Therefore, aerOS will establish the missing piece: a commonmeta operating system that follows a collaborative IoT-edge–cloud architecture supporting flexible deployments (e.g., federated orhierarchical), bringing tremendous benefits as it enables the distribution of intelligence and computation – including Artificial Intelligence(AI), Machine Learning (ML), and big data analytics – to achieve an optimal solution while satisfying the given constraints.The overarching goal of aerOS is to design and build a virtualized, platform-agnostic meta operating system for the IoT edge-cloud continuum. As a solution, to be executed on any Infrastructure Element within the IoT edge-cloud continuum – hence, independent from underlying hardware and operating system(s) – aerOS will: (i) deliver common virtualized services to enable orchestration, virtual communication (network-related programmable functions), and efficient support for frugal, explainable AI and creation of distributed data-driven applications; (ii) expose an API to be available anywhere and anytime (location-time independent), flexible, resilient and platform-agnostic; and (iii) include a set of infrastructural services and features addressing cybersecurity, trustworthiness and manageability. aerOS will: (a) use context-awareness to distribute software task (application) execution requests; (b) support intelligence as close to the events as possible; (c) support execution of services using “abstract resources” (e.g., virtual machines, containers) connected through a smart network infrastructure; (d) allocate and orchestrate abstract resources, responsible for executing service chain(s) and (e) support for scalable data autonomy.

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

EU Programme: Horizon Europe

EU Project

Project publications:

EU ProjectHas TitleHas CategoryHas TypeHas YearHas DOI
AerOSNetwork Slice Mobility for 6G Networks by Exploiting User and Network PredictionCloud, Edge, and Continuum ComputingConference proceedings https://doi.org/10.1109/ICC45041.2023.10279739
AerOSUser Request Provisioning Oriented Slice Anomaly Prediction and Resource Allocation in 6G NetworksCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/ICC51166.2024.10622281
AerOSTowards More Explainable and Traceable AI: Gray-boxed Design in a Case of Microservice AllocationCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/INISTA62901.2024.10683838
AerOSIoT for the Maritime Industry: Challenges and Emerging ApplicationsCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.15439/2023F3625
AerOSRMF: A Risk Measurement Framework for Machine Learning ModelsCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1145/3664476.3670867
AerOSA Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based ApplicationsCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/WCNC57260.2024.10570768
AerOSHow many FIDO protocols are needed? Analysing the technology, security and complianceCloud, Edge, and Continuum ComputingConference proceedings https://doi.org/10.1145/3654661
AerOSSemantic-Enhanced Digital Twin System for Robot Environment Interaction MonitoringCloud, Edge, and Continuum ComputingPeer reviewed articles2022https://doi.org/10.1109/TIM.2021.3066542
AerOSProfit-Aware Proactive Slicing Resource Provisioning with Traffic Uncertainty in Multi-Tenant FlexE-over-WDM NetworksCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/ICC51166.2024.10622595
AerOSEmerging IoT Applications and Architectures for Smart Maritime Container TerminalsCloud, Edge, and Continuum ComputingConference proceedings2023https://doi.org/10.1109/WF-IoT58464.2023.10539383
AerOSSemantics for Resource Selection in Next Generation Internet of Things SystemsCloud, Edge, and Continuum ComputingBook chapters2024https://doi.org/10.1007/978-3-031-58502-9 19
AerOSReal-time Container Orchestration Based on Time-utility FunctionsCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/WFCS60972.2024.10541041
AerOSImmutability and non-repudiation in the exchange of key messages within the EU IoT-Edge-Cloud ContinuumCloud, Edge, and Continuum ComputingConference proceedings https://doi.org/10.1145/3664476.3669918
AerOSSide-Channel Analysis of OpenVINO-based Neural Network ModelsCloud, Edge, and Continuum ComputingConference proceedings https://doi.org/10.48550/ARXIV.2407.16467
AerOSMulti-Quay Combined Berth and Quay Crane Allocation using the Cuckoo Search AlgorithmCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.5220/0012553400003702
AerOSJoint Network Slicing, Routing, and In-Network Computing for Energy-Efficient 6GCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/WCNC57260.2024.10571186
AerOSA Proof of Concept Implementation of an AI-assisted User-Centric 6G NetworkCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/EUCNC/6GSUMMIT60053.2024.10597020
AerOSReview and Critical Analysis of Ontologies for Artificial Intelligence SystemsCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1007/978-981-97-0855-0 70
AerOSA Novel Approach to Self-* Capabilities in IoT Industrial Automation Computing ContinuumCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/WF-IOT58464.2023.10539408
AerOSAnother Look at Side-Channel Resistant Encoding SchemesCloud, Edge, and Continuum ComputingConference proceedings2024https://doi.org/10.1109/TVLSI.2024.3390614
AerOSDynamic Knowledge Management in an Agent-Based Extended Green Cloud SimulatorCloud, Edge, and Continuum ComputingPeer reviewed articles2024https://doi.org/10.3390/en17040780
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