@Article{oldfield:2002:framework,
  author = {Ron Oldfield and David Kotz},
  title = {{Armada}: a parallel {I/O} framework for computational grids},
  journal = {Future Generation Computing Systems (FGCS)},
  year = {2002},
  month = {March},
  volume = {18},
  number = {4},
  pages = {501--523},
  publisher = {Elsevier Science Press},
  copyright = {Elsevier Science},
  category = {pario},
  DOI = {10.1016/S0167-739X(01)00076-0},
  URLpdf = {http://www.cs.dartmouth.edu/~dfk/papers/oldfield:framework.pdf},
  keywords = {parallel I/O, Grid, parallel file system},
  abstract = {High-performance computing increasingly occurs on ``computational
  grids'' composed of heterogeneous and geographically distributed systems of
  computers, networks, and storage devices that collectively act as a single
  ``virtual'' computer. One of the great challenges for this environment is to
  provide efficient access to data that is distributed across remote data
  servers in a grid. In this paper, we describe our solution, a framework we
  call Armada. Armada allows applications to flexibly compose modules to access
  their data, and to place those modules at appropriate hosts within the grid
  to reduce network traffic.}
}