Category: Swarm Intelligence

Using swarm Intelligence to tackle the resource slack crisis at the edge

Modern edge computing faces a silent efficiency killer: resource waste. Traditional orchestration frameworks like Kubernetes often rely on conservative, rule-based scheduling where applications overestimate their CPU and RAM needs. This leads to significant “slack resources”—allocated capacity that sits idle while other tasks wait in queues. The Horizon Europe project ACES is tackling this challenge through a novel, self-organizing local decision mechanism inspired by the natural world. A multi-agent approach to…

Talk “Unlocking Nature’s secrets”

Melanie Schranz, senior researcher and project leader at LAkeside Labs, headlined a Discover-US webinar, delivering her presentation Unlocking Nature’s Secrets: Engineering Cyber-Physical Systems with Swarm Intelligence. The session is available on the YouTube channel HiPEAC TV. From biological inspiration to cyber-physical reality The presentation took the audience on a journey from observing natural phenomena—such as the foraging of ants, the coordination of bee colonies, and the flocking of birds—to the…

Swarm intelligence in the factory

Modern semiconductor production is a operating at huge complexity, often involving over 1,500 products moving through 300 processing steps across 1,200 different machines. Traditional centralized scheduling methods frequently fail to optimize these NP-hard environments in real-time. To address this, the SwarmIn project leverages Artificial Bee Colony (ABC) algorithms to create a self-organizing, bottom-up scheduling system. Unlike standard scheduling that calculates a global plan from the top down, the SwarmIn approach…