P. Frangoudis

Adaptive Score-based Routing Balancer is introduced, a dynamic, score-based request routing mechanism for Kubernetes-based service deployments over the computing continuum that jointly considers infrastructure-level information, response time measurements, and application-level quality indicators, with a particular focus on serving Machine Learning workloads.

Pricings, inspired by SaaS subscription models, offer a surprisingly effective and generalizable way to represent and optimize resource allocation in complex computing environments.