Imagine a team of smart robots that can automatically organize themselves to solve a big puzzle. Instead of one giant computer doing all the work, this system lets many small devices share their brainpower and memory on the fly. It ensures the right task happens at the right place to save time and energy.
Current data processing is often too centralized in the cloud, causing high latency, excessive bandwidth costs, and energy waste. There is a lack of a way for diverse edge devices to automatically collaborate and share resources securely.
An open architecture of 'Smart-Nodes' that form autonomous swarms. This includes a distributed ledger for security and a semantic system to make different types of hardware work together.
If you are a fleet management provider dealing with massive data delays from thousands of vehicles — this project developed a system of autonomous 'Smart-Nodes' that processes data at the edge. This reduces the need to send everything to the cloud, speeding up reaction times for critical events.
If you are an urban traffic control agency dealing with unpredictable sensor data spikes — this project developed a self-organizing swarm of computing nodes. This allows the network to automatically pool idle resources to maintain service quality during peak hours.
If you are a smart factory operator dealing with security risks in distributed sensors — this project developed a privacy layer using distributed ledger technology and AI-based intrusion detection. This keeps sensitive production data secure while allowing nodes to collaborate.
Based on available project data, specific pricing or licensing costs are not provided; however, the project received an EU contribution of EUR 4,628,975 for development.
Yes, the project specifically aims to deliver a scalable distributed mesh of autonomous nodes that can dynamically connect and cooperate across the cloud-edge continuum.
The project intends to safeguard openness and interoperability through the Eclipse Foundation Europe to maximize adoption, though specific license terms are not detailed.
The system includes a distributed security and privacy framework using end-to-end encryption and distributed ledger technologies to protect data in use and at rest.
The architecture is designed to span the entire computing continuum, including the Cloud, Edge, and IoT layers, using a common annotation for heterogeneous resources.
The consortium is heavily weighted toward commercial application, with an industry ratio of 53% (8 industry partners, including 5 SMEs). This strong industrial presence, combined with 3 universities and 4 research centers across 8 countries, suggests a high focus on practical viability and market-driven requirements rather than purely theoretical research.
Contact the National Centre for Research and Technological Development (REC) in Greece.
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