BibTeX for a paper by David Kotz at Dartmouth College.
For more information about this paper, visit this web page:
https://kotz.cs.dartmouth.edu/research/kotz-encyc1/index.html

@InCollection{kotz:encyc1,
  author =        {David Kotz and Ravi Jain},
  title =         {{I/O in Parallel and Distributed Systems}},
  booktitle =     {{Encyclopedia of Computer Science and Technology}},
  editor =        {Allen Kent and James G. Williams},
  year =          1999,
  volume =        40,
  chapter =       0,
  pages =         {141--154},
  publisher =     {Marcel Dekker},
  copyright =     {Marcel Dekker},
  ISBN13 =        9780824722937,
  URL =           {https://kotz.cs.dartmouth.edu/research/kotz-encyc1/index.html},
  note =          {Supplement 25},
  abstract =      {We sketch the reasons for the I/O bottleneck in parallel and distributed systems, pointing out that it can be viewed as a special case of a general bottleneck that arises at all levels of the memory hierarchy. We argue that because of its severity, the I/O bottleneck deserves systematic attention at all levels of system design. We then present a survey of the issues raised by the I/O bottleneck in six key areas of parallel and distributed systems: applications, algorithms, languages and compilers, run-time libraries, operating systems, and architecture.},
}