REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud–Edge Continuum
REACH is proposed, a reinforcement learning-based microservice rescheduling framework that enables a sim-to-real deployment pipeline for adapting microservice placement under fluctuating resource availability and performance variations across distributed infrastructures.