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.
Deep reinforcement agent for scheduling in hpc
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COMPASS formalizes HPC configuration questions as ML tasks on traces, quantifies recommendation trustworthiness, and delivers 65.93% lower average job turnaround time plus 80.93% lower node usage versus prior methods in simulator tests.
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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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COMPASS: A Unified Decision-Intelligence System for Navigating Performance Trade-off in HPC
COMPASS formalizes HPC configuration questions as ML tasks on traces, quantifies recommendation trustworthiness, and delivers 65.93% lower average job turnaround time plus 80.93% lower node usage versus prior methods in simulator tests.