Imagine your smart devices, local servers, and giant cloud data centers acting as one single, giant brain instead of separate islands. This project builds a smart traffic controller that automatically moves data and tasks to the fastest or most energy-efficient spot in real-time. It's like having a GPS for computing that avoids digital traffic jams and saves battery life.
Companies struggle with fragmented edge-cloud setups that cause high latency, waste energy, and are locked into proprietary vendors. This makes it difficult to run real-time, critical applications in health and mobility.
An AI-powered orchestration engine (MIRTO) and a design environment using open standards (TOSCA, MLIR) to manage distributed computing resources.
If you are a medical device manufacturer dealing with lag in remote patient monitoring — this project developed a multi-layer infrastructure that ensures trust-driven decisions and real-time processing. This allows critical health data to be processed at the edge for immediate action.
If you are a fleet operator dealing with high latency in vehicle-to-everything communication — this project developed the MIRTO AI engine that optimizes workload placement across the continuum. This improves safety in mobility scenarios involving humans.
If you are a service provider dealing with fragmented hardware from different vendors — this project developed a design environment based on open standards like TOSCA. This enables seamless deployment and verification across heterogeneous resources.
Based on available project data, no specific pricing or cost details are provided, although the project emphasizes open-source software and tools aligned with FAIR principles.
Yes, the project is designed for industrial scale by integrating federated infrastructures spanning from low-power edge devices to fog and cloud levels.
The project follows open-source and FAIR principles to reduce dependency on proprietary platforms, though specific licensing agreements are not detailed in the provided text.
The system is specifically designed to provide support for legacy systems, ensuring they can be integrated into the modern computing continuum.
The project runs from 2024-01-01 to 2026-12-31, with prototypes for Healthcare and Mobility expected as part of the deliverables.
The consortium is well-balanced for commercialization, featuring 14 partners with a strong industrial presence (43% industry ratio, including 6 companies and 2 SMEs). The collaboration spans 8 countries, combining the academic rigor of 6 universities and 2 research centers with practical industrial application, which suggests a high likelihood of the technology meeting market needs.
Contact ABINSULA SRL in Italy for technical inquiries.
Contact us to explore integration of MIRTO AI orchestration in your edge infrastructure.
