Towards Optimal I/O Scheduling for MEMS-Based Storage

  • Authors:
  • Hailing Yu;Divyakant Agrawal;Amr El Abbadi

  • Affiliations:
  • -;-;-

  • Venue:
  • MSS '03 Proceedings of the 20 th IEEE/11 th NASA Goddard Conference on Mass Storage Systems and Technologies (MSS'03)
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

MEMS-based storage devices are currently being developed to narrow the gap between processor and disk speeds. MEMS-based storage devices have a different architecture from disk devices, thus algorithms, such as I/O scheduling and data placement, designed for disks need to be revisited. In this paper, we focus on developing an I/O scheduling algorithm for MEMS-based storage devices. Our theoretical analysis shows that this algorithm is guaranteed to perform within twice the optimal time for any workload.