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Energy-Aware Adaptation for Mobile Applications - Flinn, Satyanarayanan (1999) (100 citations) (Correct)
....measure power usage, it is difficult to precisely quantify the measurement overhead. However, we believe the measurement overhead in a deployed version of our system will be quite low. Several SmartBattery solutions can provide power measurements at the frequency we require using less than 10 mW [3, 22]. The measured prediction overhead of our prototype is only 4 mW. Therefore, we expect that the total power overhead imposed by our solution will be less than 14 mW only 0.25 of the background power consumption of our laptop. 5.2 Validation 5.2.1 Experiment design To validate our ....
USAR Systems, Inc., 568 Broadway, Suite 405, New York, NY. USAR ACPITroller II - Zero-Power ACPI KBC with Built-in Smart Battery System Manager, 1999.
Extending Mobile Computer Battery Life through Energy-Aware.. - Flinn (2001) (5 citations) Self-citation (Systems) (Correct)
....adaptation is the sum of the overhead of measuring power usage and the overhead of using these measurements to predict energy demand. The measurement overhead is quite low. Most Smart Battery solutions can provide power measurements at the frequency Odyssey requires using less than 10 mW. [12, 88]. Additionally, if a mobile computer already includes a Smart Battery (as with the IBM T20 laptop and Itsy v2.2) Odyssey imposes minimal additional measurement overhead. 80 CHAPTER 6. SYSTEM SUPPORT FOR ENERGY AWARE ADAPTATION Trial Goal Residual Number of Adaptations Met Energy (J) Speech ....
USAR Systems, Inc., 568 Broadway, Suite 405, New York, NY. USAR ACPITroller II - Zero-Power ACPI KBC with Built-in Smart Battery System Manager, 1999.
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