@InProceedings{tran:adaptive,
  author = {Nancy Tran and Daniel A. Reed},
  title = {{ARIMA} time series modeling and forecasting for adaptive {I/O}
  prefetching},
  booktitle = {Proceedings of the 15th international conference on
  Supercomputing},
  year = {2001},
  month = {June},
  pages = {473--485},
  URL = {http://doi.acm.org/10.1145/377792.377905},
  keywords = {pario-bib, access pattern, prefetching, modeling, time-series
  analysis},
  abstract = {Bursty application I/O patterns, together with transfer limited
  storage devices, combine to create a major I/O bottleneck on parallel
  systems. This paper explores the use of time series models to forecast
  application I/O request times, then prefetching I/O requests during
  computation intervals to hide I/O latency. Experimental results with I/O
  intensive scientific codes show performance improvements compared to standard
  UNIX prefetching strategies.}
}