AerOS
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 Project | Has Title | Has Category | Has Type | Has Year | Has DOI |
|---|---|---|---|---|---|
| AerOS | Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction | Cloud, Edge, and Continuum Computing | Conference proceedings | https://doi.org/10.1109/ICC45041.2023.10279739 | |
| AerOS | User Request Provisioning Oriented Slice Anomaly Prediction and Resource Allocation in 6G Networks | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/ICC51166.2024.10622281 |
| AerOS | Towards More Explainable and Traceable AI: Gray-boxed Design in a Case of Microservice Allocation | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/INISTA62901.2024.10683838 |
| AerOS | IoT for the Maritime Industry: Challenges and Emerging Applications | Cloud, Edge, and Continuum Computing | Conference proceedings | 2023 | https://doi.org/10.15439/2023F3625 |
| AerOS | RMF: A Risk Measurement Framework for Machine Learning Models | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1145/3664476.3670867 |
| AerOS | A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based Applications | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/WCNC57260.2024.10570768 |
| AerOS | How many FIDO protocols are needed? Analysing the technology, security and compliance | Cloud, Edge, and Continuum Computing | Conference proceedings | https://doi.org/10.1145/3654661 | |
| AerOS | Semantic-Enhanced Digital Twin System for Robot Environment Interaction Monitoring | Cloud, Edge, and Continuum Computing | Peer reviewed articles | 2022 | https://doi.org/10.1109/TIM.2021.3066542 |
| AerOS | Profit-Aware Proactive Slicing Resource Provisioning with Traffic Uncertainty in Multi-Tenant FlexE-over-WDM Networks | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/ICC51166.2024.10622595 |
| AerOS | Emerging IoT Applications and Architectures for Smart Maritime Container Terminals | Cloud, Edge, and Continuum Computing | Conference proceedings | 2023 | https://doi.org/10.1109/WF-IoT58464.2023.10539383 |
| AerOS | Semantics for Resource Selection in Next Generation Internet of Things Systems | Cloud, Edge, and Continuum Computing | Book chapters | 2024 | https://doi.org/10.1007/978-3-031-58502-9 19 |
| AerOS | Real-time Container Orchestration Based on Time-utility Functions | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/WFCS60972.2024.10541041 |
| AerOS | Immutability and non-repudiation in the exchange of key messages within the EU IoT-Edge-Cloud Continuum | Cloud, Edge, and Continuum Computing | Conference proceedings | https://doi.org/10.1145/3664476.3669918 | |
| AerOS | Side-Channel Analysis of OpenVINO-based Neural Network Models | Cloud, Edge, and Continuum Computing | Conference proceedings | https://doi.org/10.48550/ARXIV.2407.16467 | |
| AerOS | Multi-Quay Combined Berth and Quay Crane Allocation using the Cuckoo Search Algorithm | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.5220/0012553400003702 |
| AerOS | Joint Network Slicing, Routing, and In-Network Computing for Energy-Efficient 6G | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/WCNC57260.2024.10571186 |
| AerOS | A Proof of Concept Implementation of an AI-assisted User-Centric 6G Network | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/EUCNC/6GSUMMIT60053.2024.10597020 |
| AerOS | Review and Critical Analysis of Ontologies for Artificial Intelligence Systems | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1007/978-981-97-0855-0 70 |
| AerOS | A Novel Approach to Self-* Capabilities in IoT Industrial Automation Computing Continuum | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/WF-IOT58464.2023.10539408 |
| AerOS | Another Look at Side-Channel Resistant Encoding Schemes | Cloud, Edge, and Continuum Computing | Conference proceedings | 2024 | https://doi.org/10.1109/TVLSI.2024.3390614 |
| AerOS | Dynamic Knowledge Management in an Agent-Based Extended Green Cloud Simulator | Cloud, Edge, and Continuum Computing | Peer reviewed articles | 2024 | https://doi.org/10.3390/en17040780 |