DREAM: A Dynamic Ripple-Effect-Aware Meta-Scheduling Scheme for Cloud-Edge-End Collaborative AI Computing
Cloud-edge-end collaborative Artificial Intelligence (AI) computing requires schedulers that allocate heterogeneous resources for Directed Acyclic Graph (DAG)-structured workflows across network tiers. Cross-tier data transfers create ripple effects where a single placement decision propagates delays to downstream task...