Publication | Closed Access
A predictive system shutdown method for energy saving of event-driven computation
108
Citations
7
References
1997
Year
Unknown Venue
Cluster ComputingEngineeringEnergy EfficiencyEvent-driven ApplicationsSystems EngineeringModeling And SimulationPower SavingParallel ComputingEvent-driven ComputationPower-aware DesignPower-aware SoftwarePower ManagementPower-aware ComputingPredictive AnalyticsComputer EngineeringComputer ScienceEnergy SavingEnergy PredictionSmart GridEnergy ManagementProcess ControlParallel ProgrammingReal-time SystemsPower-efficient ComputingSleep Mode Operations
We present a system-level power management technique for power saving of event-driven applications. We present a new predictive system shutdown method to exploit sleep mode operations for power saving. We use an exponential-average approach to predict the upcoming idle period. We introduce two mechanisms, prediction-miss correction and pre-wakeup, to improve the hit ratio and to reduce the delay overhead. Experiments on four different event-driven applications show that our proposed method achieves high hit ratios in a wide range of delay overheads, which results in a high degree of power saving with low delay penalties.
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