@Article{oldfield:framework,
  Author         = "Ron Oldfield and David Kotz",
  Title          = "{Armada}: a parallel {I/O} framework for computational
                   grids",
  Journal        = "Future Generation Computing Systems (FGCS)",
  Volume         = 18,
  Number         = 4,
  Pages          = "501--523",
  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.},
  vitatype       = refjournal,
  year           = 2002,
  month          = mar,
  sincetenure    = "yes",
  url            = {http://www.elsevier.com/gej-ng/10/19/19/60/33/33/article.pdf},
  keyword        = "parallel I/O, Grid, parallel file system",
  urlpdf         = {http://www.cs.dartmouth.edu/~dfk/papers/oldfield:framework.pdf},
  group          = "dfk",
  copyright      = "Elsevier Science",
  publisher      = "Elsevier Science Press",
  category       = "pario",
}