Using MEMS-based storage in computer systems---device modeling and management

  • Authors:
  • Bo Hong;Scott A. Brandt;Darrell D. E. Long;Ethan L. Miller;Ying Lin

  • Affiliations:
  • Symantec Corporation, Mountain View, CA;University of California, Santa Cruz, CA;University of California, Santa Cruz, CA;University of California, Santa Cruz, CA;Microsoft Corporation, Redmond, WA

  • Venue:
  • ACM Transactions on Storage (TOS)
  • Year:
  • 2006

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Abstract

MEMS-based storage is an emerging nonvolatile secondary storage technology. It promises high performance, high storage density, and low power consumption. With fundamentally different architectural designs from magnetic disk, MEMS-based storage exhibits unique two-dimensional positioning behaviors and efficient power state transitions. We model these low-level, device-specific properties of MEMS-based storage and present request scheduling algorithms and power management strategies that exploit the full potential of these devices. Our simulations show that MEMS-specific device management policies can significantly improve system performance and reduce power consumption.