Imagine if all the unused computing power in your smart devices could be pooled together like a giant shared battery. Instead of every device working in its own little bubble, they can now talk to each other and share the load. This makes everything run faster and use less energy by picking the best spot for a task to happen.
Current edge computing is fragmented into isolated silos, which prevents the seamless deployment of distributed applications and wastes unused processing capacity.
An integrated meta-OS that provides a layer for resource sharing, AI-powered orchestration for energy efficiency, and a Zero-Trust security model.
If you are a smart farm equipment provider dealing with disconnected sensors and limited cloud connectivity — this project developed a decentralized operating system that allows devices to share processing power locally. This ensures data is processed on-site without needing a constant high-speed internet link.
If you are a smart grid operator dealing with high energy costs for data processing — this project developed AI-powered orchestration that optimizes energy usage across the network. This reduces the carbon footprint and operational cost of managing energy distribution.
If you are a fleet management company dealing with fragmented data silos across thousands of vehicles — this project developed a secure computing continuum that unifies edge and cloud. This allows for real-time tracking and optimization across administrative boundaries.
Based on available project data, the system is developed as an open-source solution, though a multi-stakeholder market for services and applications is planned.
Yes, the project focuses on a scalable computing continuum that uses hierarchical aggregation of nodes, similar to how the Internet routes data, to handle large-scale deployments.
The project follows an open-source model to promote European digital autonomy, though specific licensing agreements for the resulting market of services are not detailed.
It builds on top of consolidated tools like Kubernetes, adding a layer for resource sharing and AI-driven orchestration.
The project period runs until 2025-09-30, with integrated meta-OS releases planned as deliverables.
The consortium is heavily weighted toward commercial application, with a 47% industry ratio comprising 8 companies, including 5 SMEs. With 17 partners across 9 countries, the project combines academic research from 4 universities and 3 research centers with practical industrial implementation, suggesting a strong path toward market adoption.
Contact MARTEL INNOVATE BV in the Netherlands
Contact us to connect with the FLUIDOS consortium for pilot opportunities.
