@InProceedings{kwong:distribution,
  author = {Peter Kwong and Shikaresh Majumdar},
  title = {Study of Data Distribution Strategies for Parallel {I/O}
  Management},
  booktitle = {Proceedings of the Third International Conference of the
  Austrian Center for Parallel Computation (ACPC)},
  year = {1996},
  month = {September},
  series = {Lecture Notes in Computer Science},
  volume = {1127},
  pages = {12--23},
  publisher = {Springer-Verlag},
  keywords = {parallel I/O, pario-bib},
  abstract = {Recent studies have demonstrated that a significant number of I/O
  operations are performed by a number of classes of different parallel
  applications. Appropriate I/O management strategies are required however for
  harnessing the power of parallel I/O. This paper focuses on two I/O
  management issues that affect system performance in multiprogrammed parallel
  environments. Characterization of I/O behavior of parallel applications in
  terms of four different models is discussed first, followed by an
  investigation of the performance of a number of different data distribution
  strategies. Using computer simulations this research shows that I/O
  characteristics of applications and data distribution have an important
  effect on system performance. Applications that can simultaneously do
  computation and I/O, plus strategies that can incorporate centralized I/O
  management are found to be beneficial for a multiprogrammed parallel
  environment.},
  comment = {See majumdar:management.}
}