ICOS
Main goals of the project
- Main goals of the project
- Develop a Meta OS that allows interoperability between different layers of the continuum with different devices from various manufacturers.
- Advance measuring and predictive capabilities related to energy consumption and availability.
- Develop a reliable zero-trust paradigm in order to securely manage the heterogeneous distribution of data and resources.
Main outputs of the project
- Consolidated operating system unifying edge and cloud systems that is user friendly and easy to integrate
- AI based optimisation
- Orchestration solution
- Zero-trust paradigm
- Resource sharing
- Base step for further development of specialised technological solutions
- Protocols and standards
ICOS use cases
*Read more details on the project website.
Agriculture Operational Robotic Platform (AORP)
Methodology: Integration of Cloud-Edge processing with agricultural practices, implementation of agro robots (Agbots) as tools and sensors, optimisation of data exchange ecosystems to increase stability and efficiency.
Objective: Increased farming efficiency and scalability through continuum processing, product quality stabilisation and protection, resource reduction and optimisation through localised datacollection and self-management.
Railway Structural Alert Monitoring system (RSAM)
Methodology: Integration of cloudedge processing with railway systems, implementation of continuous monitoring sensors and data analysis, distribution of data and devices across the digital and physical continuum.
Objective: Real-time monitoring of key parameters of the railway system; Increased security and stability through alert generation and selfmaintenance; Resource optimisation and energy efficiency through predictive management.
Energy Management and Decision Support system (EMDS)
Methodology: Integration of CloudEdge processing in domestic continuum, energy consumption monitoring via smart devices and sensors, energy production management via green energy at the domestic level.
Objective: Energy consumption optimisation through flexible selfadjustments; Smart grid support through domestic-systemic harmonisation; Increased energy production via domestic green energy sources.
In-car Advanced Infotainment and Multimedia Management system (IAIMM)
Methodology: Integration of CloudEdge processing for in-car multimedia systems, deployment of edge nodes for continuum support, systemic vehicle harmonisation for network generation.
Objective: Optimisation of multimedia content distribution through network support; High-quality reception stabilisation irrespective of connectivity through localised processing; Enrichment of all multimedia functionalities by preventing interruptions and latency