Modeling and Scheduling of MEMS-Based Storage Devices

Abstract

MEMS-based storage devices are seen by many as promising replacements for disk drives. Fabricated on CMOS, MEMS-based storage uses thousands of small, mechanical probe tips to access Gigabytes of nonvolatile storage. This paper takes a first step towards understanding the performance characteristics of these devices. Using trace-driven simulation and models based on the physical equations that govern the device's basic characteristics, this work explores how different physical characteristics (e.g., acceleration, data rates) and scheduling algorithms impact the design and performance of MEMS-based storage. Our results show that MEMS-based storage can improve storage access rates by a factor of 5 over conventional disk-based storage, with average access times of under 2 ms. Further, our analysis of scheduling algorithms shows that the relative benefits of request scheduling are similar to standard disks.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1999
Accession Number
ADA382819

Entities

People

  • David F. Nagle
  • Gregory R. Ganger
  • John L. Griffin
  • Steven W. Schlosser

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Access Time
  • Algorithms
  • Closed Loop Systems
  • Computer Science
  • Computers
  • Control Systems
  • Corporations
  • Data Rate
  • Error Correction Codes
  • Frequency
  • Magnetic Materials
  • Microelectromechanical Systems
  • Operating Systems
  • Resonant Frequency
  • Scheduling (Production)
  • Simulations
  • Workload

Fields of Study

  • Computer science

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Parallel and Distributed Computing.