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

@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)},
  year =          2002,
  month =         {March},
  volume =        18,
  number =        4,
  pages =         {501--523},
  publisher =     {Elsevier Science Press},
  copyright =     {Elsevier Science},
  DOI =           {10.1016/S0167-739X(01)00076-0},
  URL =           {https://www.cs.dartmouth.edu/~kotz/research/oldfield-framework/index.html},
  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.},
}