A statistical framework using parametric estimation and quantile regression for execution times, combined with communication latency models, selects optimal GPU clock frequencies to achieve 95% probability of meeting 500 ms end-to-end deadlines while reducing energy consumption by over 50%.
and Smith, Alan Jay , title =
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Statistical Analysis for Energy-Efficient Satellite Edge Computing with Latency Guarantees
A statistical framework using parametric estimation and quantile regression for execution times, combined with communication latency models, selects optimal GPU clock frequencies to achieve 95% probability of meeting 500 ms end-to-end deadlines while reducing energy consumption by over 50%.