@InProceedings{demmel:eosdis,
  author = {James Demmel and Melody Y. Ivory and Sharon L. Smith},
  title = {Modeling and Identifying Bottlenecks in {EOSDIS}},
  booktitle = {Proceedings of the Sixth Symposium on the Frontiers of Massively
  Parallel Computation},
  year = {1996},
  month = {October},
  pages = {300--308},
  publisher = {IEEE Computer Society Press},
  keywords = {climate modeling, performance modeling, parallel I/O, pario-bib},
  abstract = {Many parallel application areas that exploit massive parallelism,
  such as climate modeling, require massive storage systems for the archival
  and retrieval of data sets. As such, advances in massively parallel
  computation must be coupled with advances in mass storage technology in order
  to satisfy I/O constraints of these applications. We demonstrate the effects
  of such I/O-computation disparity for a representative distributed
  information system, NASA's Earth Observing System Distributed Information
  System (EOSDIS). We use performance modeling to identify bottlenecks in
  EOSDIS for two representative user scenarios from climate change research.}
}