School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15217, USA
Copyright © 2011 Field Cady et al. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
We provide a stochastic analysis of hard disk performance, including a closed
form solution for the average access time of a memory request. The model we use
covers a wide range of types and applications of disks, and in particular it captures
modern innovations like zone bit recording. The derivation is based on an analytical
technique we call “shuffling”, which greatly simplifies the analysis relative to
previous work and provides a simple, easy-to-use formula for the average access
time.
Our analysis can predict performance of single disks for a wide range of disk
types and workloads. Furthermore, it can predict the performance benefits of several
optimizations, including short stroking and mirroring, which are common in
disk arrays.