Partners from UPM are working on the providing the sub- component that is responsible for graph queries and time series databases, building and analysing graphs using machine learning for anomaly detection, predictive modelling, and root cause failure analysis. This service being the part of the Knowledge Graph Model. As for the state on the begining of March 2025, the temporal graph is in the process of moving all the workload from the local servers up to AWS, which is provided by HIRO.
UNIVERSIDAD POLITÉCNICA DE MADRID
Related content
Final Call to Action: Help Us Build Europe’s Autopoietic Edge
Over the past three years, ACES-Autopoietic Cognitive Edge-cloud Services-set out to rethink how Europe processes data where it matters most: at the edge. We’ve...
Dell Technologies: strengthening the Edge Ecosystem through Collaboration and Shared Innovation
As a global provider of digital infrastructure and technology solutions, Dell Technologies actively supports research and innovation ecosystems that advance Europe’s...
The Road to Market: turning ACES Innovation into Real-World Impact
With the ACES project (Autopoietic Cognitive Edge-cloud Services), European research in edge computing has reached a pivotal moment. After years of experimentation and...
Tackling Edge Computing with intelligence and autopoiesis: Challenges and Opportunities for ACES
The computing landscape continues its significant transformation, with Edge Computing solidifying its role as a vital bridge between centralised Cloud platforms and...
The Rise of the Autopoietic Edge: How a Mesh of Micro-Datacenters Is Re-shaping Europe’s Digital Resilience
Looking back Once celebrated for limitless scalability, the promise of the cloud has quietly revealed its fragility. The world’s digital backbone is centralised,...
ACES Stages of Exploitation
The Foundations Exploitation within ACES has been conceived as a progressive path from knowledge creation to market positioning. It aims to transform technical outcomes...
0 Comments