In an era of real-time data and rapidly evolving urban dynamics, concept drift is a silent killer of AI accuracy. As patterns shift (think lockdowns, weather anomalies, or energy crises), traditional models fail.  As part of the CLEVER Project, we introduce a resilient, containerized edge computing architecture (EMDC) that automatically detects and adapts to concept…

CLEVER’s layered middleware is the answer! It automates orchestration, connecting compute/storage across cloud & edge for smart deployments & max resource use.Here’s CLEVER in Action:1- Request lands at Frontend (specs included).2- Where to run it? Global Scheduler + Knowledge Graph pick the best spot.3- Off it goes to the perfect edge node (like Far Edge) for execution.4-…

Introducing our flexible forecasting platform for Zero Touch Networking and Digital Twinning, developed as part of the CLEVER Project 🔍  In today’s dynamic 5G and beyond environments, reactivity is not enough. Network automation must evolve into proactivity — where systems anticipate failures, forecast traffic, and autonomously optimize performance.  📶 Our platform uses real-time and historical…

 In the CLEVER Project, we’re transforming how edge computing platforms handle resource management by integrating cutting-edge AI/ML models for proactive resource forecasting. Imagine a world where your applications—from autonomous vehicles to augmented reality—receive resources before they need them, ensuring top-tier performance and consistent Quality of Service (QoS).  🔍 What makes CLEVER stand out?  1- AI-driven predictive…

As 5G networks scale, so does their energy footprint—especially across x-haul infrastructures (fronthaul, midhaul, backhaul). In the latest research from the CLEVER Project, we propose a cooperative SDN-based energy-saving scheme for NG-PON2, blending 5G TDD awareness, O-RAN intelligence, and software-defined optical access networks (SDOANs).  📉 Our CO-SLEEP technique leverages real-time 5G TDD slot awareness to: 🔹…