@InProceedings{prabhakar:browsing,
  author = {Sunil Prabhakar and Divyakant Agrawal and Amr {El Abbadi} and Ambuj
  Singh and Terence Smith},
  title = {Browsing and Placement of Multiresolution Images on Parallel Disks},
  booktitle = {Proceedings of the Fifth Workshop on Input/Output in Parallel
  and Distributed Systems},
  year = {1997},
  month = {November},
  pages = {102--113},
  publisher = {ACM Press},
  address = {San Jose, CA},
  URL = {http://doi.acm.org/10.1145/266220.266230},
  keywords = {multimedia, parallel I/O, pario-bib},
  abstract = {With rapid advances in computer and communication technologies,
  there is an increasing demand to build and maintain large image repositories.
  In order to reduce the demands on I/O and network resources, multiresolution
  representations are being proposed for the storage organization of images.
  Image decomposition techniques such as {\em wavelets} can be used to provide
  these multiresolution images. The original image is represented by several
  coefficients, one of them with visual similarity to the original image, but
  at a lower resolution. These visually similar coefficients can be thought of
  as {\em thumbnails} or {\em icons} of the original image. This paper
  addresses the problem of storing these multiresolution coefficients on disks
  so that thumbnail browsing as well as image reconstruction can be performed
  efficiently. Several strategies are evaluated to store the image coefficients
  on parallel disks. These strategies can be classified into two broad classes
  depending on whether the access pattern of the images is used in the
  placement. Disk simulation is used to evaluate the performance of these
  strategies. Simulation results are validated with results from experiments
  with real disks and are found to be in good agreement. The results indicate
  that significant performance improvements can be achieved with as few as four
  disks by placing image coefficients based upon browsing access patterns.},
  comment = {They use simulation to study several different placement policies
  for the thumbnail and varying-resolution versions of images on a disk array.}
}