@TechReport{oldfield:thesis-tr,
  author = {Ron Oldfield},
  title = {Efficient {I/O} for Computational Grid Applications},
  year = {2003},
  month = {May},
  number = {TR2003-459},
  institution = {Dept. of Computer Science, Dartmouth College},
  earlier = {oldfield:thesis},
  URL = {https://digitalcommons.dartmouth.edu/dissertations/5/},
  URLpdf = {ftp://ftp.cs.dartmouth.edu/TR/TR2003-459.pdf},
  keywords = {parallel I/O, Grid computing, pario-bib},
  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. A key challenge in this environment is to provide
  efficient access to data distributed across remote data servers. This
  dissertation explores some of the issues associated with I/O for wide-area
  distributed computing and describes an I/O system, called Armada, with the
  following features: a framework to allow application and dataset providers to
  flexibly compose graphs of processing modules that describe the distribution,
  application interfaces, and processing required of the dataset before or
  after computation; an algorithm to restructure application graphs to increase
  parallelism and to improve network performance in a wide-area network; and a
  hierarchical graph-partitioning scheme that deploys components of the
  application graph in a way that is both beneficial to the application and
  sensitive to the administrative policies of the different administrative
  domains. Experiments show that applications using Armada perform well in both
  low- and high-bandwidth environments, and that our approach does an
  exceptional job of hiding the network latency inherent in grid computing.}
}