Artificial Intelligence of Things (AIoT) is one of the next big concepts to support societal changes and economic growth, being one of the fastest growing ICT segments. A specific challenge is to leverage existing technology strengths to develop solutions that sustain the European industry and values.
Technical Approach
ΝΕΜΟ establishes itself as the gamechanger of the AIoT-edge-cloud continuum by introducing an open source, modular and cybersecure meta-operating system, leveraging on existing technologies and introducing novel concepts, methods, tools, testing and engagement campaigns. NEMO will bring intelligence closer to the data and make AI-as-a-Service an integral part of network self-organisation and micro-services execution orchestration. Its widespread penetration and massive acceptance will be achieved via new technology, pre-commercial exploitation components and liaison with open-source communities.
In a nutshell
- Next Generation meta Operating System (mOS)
- high availability, openness, adaptability and flexibility,
- development and deployment simplicity,
- optimized to IoT-to-Edge-to-Cloud continuum
- Federated meta Network Cluster Controller (mNCC)
- Network management for existing/emerging IoT/5G/6G technologies
- offering time-triggered multipath/multitenant/multi-cloud clusters
- supporting zero-delay failback/self-healing “by design”
- “by-design” Secure Execution Environment(SEE)
- Transparent sandbox creation
- secure micro-services
- unikernels (remote) execution
- meta-Orchestrator
- optimal cluster construction
- micro-services scheduling/ migration
- respecting policies and KPIs, including significant reduction of the energy consumption and the CO2 footprint
- ZeroOps Management Tools
- Plugin & Applications Life-Cycle Manager for over the air and on-time deployment
- Monetization and Consensus-based Accounting (MOCA) towards flexible business models and pre-commercial exploitation
- Intent Migration as a Service to automate manual processes and full-stack configurations
- Cybersecurity and policy/privacy at every stage of the mOS and during migration of micro-services.
- Decentralized, cybersecure FML/DRL for IoT node decision or autonomous operations
- CF-DRL against cyber-attacks
- PRESS & policy compliance
- Cybersecurity and unified/federated Access control
Expected R&I Results
Research
- mOS Architecture
- On-device federated MLOps and TL via CF-DRL as core part of mOS
- SLO based meta-Orchestrator
- Federated micro-services//unikernels SEE
- Micro-service sovereignty
- Intent-based migration SDK
- Cybersecurity vertical
Innovation
- Federated mNCC offering self-configured/-healing clusters
- Network Control and management IoT/5G/B5G adapters
- IoT/5G Time Sensitive Networking (TSN)
- Policies for optimal micro-services/unikernels migration
- Plugins Lifecycle Manager
- Monetization and Accountability (MOCA)
- Policy Enforcement vertical