by admin | Mar 14, 2025 | AI, Artificial Intelligence, Cloud
The swarm intelligence scheduler simulates a multi-agent system using the MESA library in Python to analyse resource utilization and queue lengths over configurable time steps and traffic densities. It optimizes scheduling by leveraging slack resources from rigid pods...
by admin | Mar 14, 2025 | AI, Artificial Intelligence, Cognitive Edge-Cloud Services
The ACES consortium is driving impactful progress in Work Package 5 (WP5), integrating advanced edge services into energy management systems for real-world grid applications. As the project enters its final validation phase, efforts are centered on three priorities:...
by admin | Mar 14, 2025 | AI
Partners from INESC-ID are ensuring that the ACES platform meets industry standards for network security and performance—critical non-functional properties for both individual components and the system as a whole. To achieve these objectives, two key components...
by admin | Nov 7, 2024 | AI
In this presentation, we introduce a new tool for optimizing black-box cost functions—costly and unknown functions. Our tool smartly explores the function’s domain starting with minimal data, using Bayesian learning combined with acquisition functions for efficient...
by admin | Nov 7, 2024 | AI
Dr. Melanie Schranz’s presentation, “Swarm Intelligence to manage highly dynamic distributed and future composable edge-cloud computing infrastructures at the edge,” focuses on emergent scheduling in edge-cloud computing, emphasizing swarm...
