• Published 2006

Self-Learning Hard Disk Power Management for Mobile Devices

@inproceedings{Weiel2006SelfLearningHD,
  title={Self-Learning Hard Disk Power Management for Mobile Devices},
  author={Andreas Wei{\ss}el},
  year={2006}
}
A multitude of different hard disk power management algorithms exists—applied to real systems or proposed in the literature. Energy savings can only be achieved if the hard disk is idle for a minimum period of time. These algorithms try to predict the length of each idle interval at runtime and decide whether the disk should be switched to a lowpower mode or not. In this paper, we claim that there is no general-purpose policy that maximizes energy savings for every workload and present system… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

Comparing System-Level Power Management Policies

VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Phase characterization for power: evaluating control-flow-based and event-counter-based techniques

VIEW 1 EXCERPT

Enhanced adaptive battery life extender (ABLE)

  • W. F. Heybruck
  • White Paper. Hitachi Global Storage Technologies,
  • 2005
VIEW 1 EXCERPT

Feedback-based dynamic voltage and frequency scaling for memory-bound real-time applications

VIEW 1 EXCERPT

Dynamic voltage and frequency scaling based on workload decomposition

VIEW 1 EXCERPT

Considering the energy consumption of mobile storage alternatives

  • Fengzhou Zheng, Nitin Garg, +4 authors Randolph Y. Wang
  • Computer Science
  • 11th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer Telecommunications Systems, 2003. MASCOTS 2003.
  • 2003
VIEW 2 EXCERPTS