@InProceedings{yu:trading,
  author = {Xiang Yu and Benjamin Gum and Yuqun Chen and Randolph Y. Wang and
  Kai Li and Arvind Krishnamurthy and Thomas E. Anderson},
  title = {Trading Capacity for Performance in a Disk Array},
  booktitle = {Proceedings of the 2000 Symposium on Operating Systems Design
  and Implementation},
  year = {2000},
  month = {October},
  pages = {243--258},
  publisher = {USENIX Association},
  address = {San Diego},
  URL =
  {http://www.usenix.org/publications/library/proceedings/osdi2000/yugum.html},
  keywords = {disk array, file system, parallel I/O, pario-bib},
  abstract = {A variety of performance-enhancing techniques, such as striping,
  mirroring, and rotational data replication, exist in the disk array
  literature. Given a fixed budget of disks, one must intelligently choose what
  combination of these techniques to employ. In this paper, we present a way of
  designing disk arrays that can flexibly and systematically reduce seek and
  rotational delay in a balanced manner. We give analytical models that can
  guide an array designer towards optimal configurations by considering both
  disk and workload characteristics. We have implemented a prototype disk array
  that incorporates the configuration models. In the process, we have also
  developed a robust disk head position prediction mechanism without any
  hardware support. The resulting prototype demonstrates the effectiveness of
  the configuration models.}
}