Modeling and performance of MEMS-based storage devices

  • Authors:
  • John Linwood Griffin;Steven W. Schlosser;Gregory R. Ganger;David F. Nagle

  • Affiliations:
  • Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University

  • Venue:
  • Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
  • Year:
  • 2000

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Abstract

MEMS-based storage devices are seen by many as promising alternatives to disk drives. Fabricated using conventional CMOS processes, MEMS-based storage consists of thousands of small, mechanical probe tips that access gigabytes of high-density, nonvolatile magnetic storage. This paper takes a first step towards understanding the performance characteristics of these devices by mapping them onto a disk-like metaphor. Using simulation models based on the mechanics equations governing the devices' operation, this work explores how different physical characteristics (e.g., actuator forces and per-tip data rates) impact the design trade-offs and performance of MEMS-based storage. Overall results indicate that average access times for MEMS-based storage are 6.5 times faster than for a modern disk (1.5 ms vs. 9.7 ms). Results from filesystem and database bench-marks show that this improvement reduces application I/O stall times up to 70%, resulting in overall performance improvements of 3X.