BibTeX for papers by David Kotz; for complete/updated list see
https://www.cs.dartmouth.edu/~kotz/research/papers.html

@PhdThesis{oldfield:thesis,
  author =        {Ron Oldfield},
  title =         {{Efficient I/O for Computational Grid Applications}},
  school =        {Dartmouth College Computer Science},
  year =          2003,
  month =         {May},
  copyright =     {Ron Oldfield},
  address =       {Hanover, NH},
  URL =           {https://www.cs.dartmouth.edu/~kotz/research/oldfield-thesis/index.html},
  note =          {Available as Dartmouth Computer Science Technical Report TR2003-459},
  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.},
}