Affinity Tailor improves per-CPU throughput by 12% on chiplet systems and 3% on non-chiplet systems over Linux CFS by using dynamic compact affinity hints derived from online demand estimates.
InProceedings of the fifteenth European conference on computer systems
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A new taxonomy for dynamics-aware microservice management, synthesized from 84 systems, finds that production dynamics are often only partially modeled and that reported performance gains depend on evaluation realism.
Strait cuts high-priority deadline violations in ML inference serving by 1-11 percentage points through contention modeling and priority scheduling under high GPU load.
citing papers explorer
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Affinity Tailor: Dynamic Locality-Aware Scheduling at Scale
Affinity Tailor improves per-CPU throughput by 12% on chiplet systems and 3% on non-chiplet systems over Linux CFS by using dynamic compact affinity hints derived from online demand estimates.
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Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions
A new taxonomy for dynamics-aware microservice management, synthesized from 84 systems, finds that production dynamics are often only partially modeled and that reported performance gains depend on evaluation realism.
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Strait: Perceiving Priority and Interference in ML Inference Serving
Strait cuts high-priority deadline violations in ML inference serving by 1-11 percentage points through contention modeling and priority scheduling under high GPU load.