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Real-Time Dynamic Power Management through Device Forbidden Regions. Vinay Devadas Hakan Aydin Professor : Chen, Ya-Shu Presenter : Ho, Shu-Wei. Outline. Break-even time(B) Next Device Usage Time(NDUT(t)) Conservative Energy-Efficient Device Scheduling(CEEDS) Device Forbidden Region(DFR)
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Real-Time Dynamic Power Management through Device Forbidden Regions Vinay Devadas Hakan Aydin Professor : Chen, Ya-Shu Presenter : Ho, Shu-Wei
Outline • Break-even time(B) • Next Device Usage Time(NDUT(t)) • Conservative Energy-Efficient Device Scheduling(CEEDS) • Device Forbidden Region(DFR) • Feasibility • Dynamic Power Management(DPM) through Device Forbidden Regions • Comparison • Conclusion
Break-even time • : The power consumption in active state • : The power consumption in sleep state • : The time overhead to perform a transition from active to sleep state • : The time overhead to perform a transition from sleep to active state • : The energy overhead to perform a transition from active to sleep state • : The energy overhead to perform a transition from sleep to active state • : The break-even time of the device
Next Device Usage Time(NDUT(t)) Prediction • Current time(t) • Tasks in ready queue • Release time of jobs that request Task use Current t NDUT(t)
Conservative Energy-Efficient Device Scheduling • Predicting NDUT(t) Example : = = 1000 = = 4000 = 990 , = = 495 = 20 , = = 10 T1 : (2000, 1000) ; T2 : (4000, 1000)
Device Forbidden Region(DFR) • Rat-Monotonic scheduling(RMS) • . • Duration • Period • Expected Energy Savings(EES) of
Feasibility • Time demand function of Corollary : A set of periodic tasks can be feasibly scheduled by DFR-RMS if ∀ i ∃ t 0 ≤ t ≤ Ti,
Comparison • Always on (AON) --Where the devices remain in active state throughout the simulation (no dynamic power management). • CEEDS --Adapted to RMS settings. This scheme performs device shutdown and activation based solely on next device usage time predictions. • DER-RMS
Conclusion • Compare with original CEES, no matter with DVS or without DVS, RMS-DFR can save up to 27% energy consumption , under the worst condition, it can also save 20% consumption.