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2005
Springer

STEP: Self-Tuning Energy-safe Predictors

10 years 5 months ago
STEP: Self-Tuning Energy-safe Predictors
Data access prediction has been proposed as a mechanism to overcome latency lag, and more recently as a means of conserving energy in mobile systems. We present a fully adaptive predictor, that can optimize itself for any arbitrary workload, while simultaneously offering simple adjustment of goals between energy conservation and latency reduction. Our algorithm, STEP, achieves power savings on mobile computers by eliminating more data fetches, which would otherwise have caused excess energy to be consumed in accessing local storage devices or using the wireless interface to fetch remote data. We have demonstrated our algorithm to perform as well as some of the best access predictors, while incurring almost none of the associated increase in I/O workloads typical of their use. Our algorithm reduced average response times by approximately 50% compared to an LRU cache, while requiring less than half the I/O operations that traditional predictors would require to achieve the same performa...
James Larkby-Lahet, Ganesh Santhanakrishnan, Ahmed
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where MDM
Authors James Larkby-Lahet, Ganesh Santhanakrishnan, Ahmed Amer, Panos K. Chrysanthis
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