@InProceedings{oldfield:2001:armada,
  author = {Ron Oldfield and David Kotz},
  title = {{Armada}: A parallel file system for computational grids},
  booktitle = {Proceedings of the FirstIEEE/ACM International Symposium on
  Cluster Computing and the Grid},
  year = {2001},
  month = {May},
  pages = {194--201},
  publisher = {IEEE Computer Society Press},
  copyright = {IEEE},
  address = {Brisbane, Australia},
  category = {pario},
  note = {Best paper award},
  URL = {http://www.cs.dartmouth.edu/~dfk/papers/oldfield:armada.ps.gz},
  URLpdf = {http://www.cs.dartmouth.edu/~dfk/papers/oldfield:armada.pdf},
  keywords = {parallel I/O, Grid, parallel file system, pario-bib},
  abstract = {High-performance distributed computing appears to be shifting
  away from tightly-connected supercomputers to computational grids composed of
  heterogeneous systems of networks, computers, storage devices, and various
  other devices that collectively act as a single geographically distributed
  virtual computer. One of the great challenges for this environment is
  providing efficient parallel data access to remote distributed datasets. In
  this paper, we discuss some of the issues associated with parallel I/O and
  computatational grids and describe the design of a flexible parallel file
  system that allows the application to control the behavior and functionality
  of virtually all aspects of the file system.}
}