Narwhal: Breaking the Local Boundary via Disaggregated Memory Scheduling for Alibaba AnalyticDB
Cloud OLAP workloads are bursty and memory-hungry. Per-machine DRAM caps and co-scaled CPU/memory provisioning are fragile. They lead to low utilization, slow autoscaling, and transient OOMs. Prediction-driven schedulers and bin-packing optimizers mitigate but struggle with rigid per-machine memory boundaries and for...