LAKESIDE LABS

LAKESIDE LABS

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...
IPTO

IPTO

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:...
ACES, Edge-native Cloud Infrastructure for Data-Dense Environments and Applications

ACES, Edge-native Cloud Infrastructure for Data-Dense Environments and Applications

The continuous increase of data density in organisational, service, and industrial processes in our living and working environments, may draw important and wide-ranging benefits from a powerful edge computing infrastructure that is designed to locally process Big Data...