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ClusterCast Scheduler Configuration

Configuration artifact for the ClusterCast GPU cluster workload optimizer.

Policies

Policy Objective
max_gpu_utilization Pack GPUs densely via FFD, best-fit, backfilling
min_wait_fairness Reduce queue time and tenant unfairness via DRF

Algorithms

  • First Fit Decreasing β€” Multi-dimensional bin packing heuristic
  • Best Fit β€” Minimize node fragmentation
  • Backfilling β€” Fill idle slots with preemptible jobs
  • CP-SAT Gang β€” OR-Tools optional interval scheduling
  • Dominant Resource Fairness β€” Multi-tenant fair share
  • Min-Cost Flow β€” Greedy placement with transfer costs
  • Rolling Horizon β€” Online re-scheduling windows

Constraints Modeled

Gang scheduling, GPU affinity, data locality, bandwidth, fragmentation, preemption cost, checkpoint overhead.

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