Mixed Differences-in-Q estimators grounded in Little's Law reduce bias and variance in A/B tests for queue scheduling policies, shown via simulations.
Load balancing in parallel queues and rank-based diffusions.arXiv preprint arXiv:2302.10317,
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Experimentation for Different Scheduling Policies on Queues: Mixed Differences-in-Q Estimators Based on Little's Law
Mixed Differences-in-Q estimators grounded in Little's Law reduce bias and variance in A/B tests for queue scheduling policies, shown via simulations.