Input/Output Access Pattern Classification Using Hidden Markov Models

  title={Input/Output Access Pattern Classification Using Hidden Markov Models},
  author={Tara M. Madhyastha and Daniel A. Reed},
Input/output performance on current parallel file systems is sensitive to a good match of application access pattern to file system capabilities. Automaticiuput/output access classification can determine application access patterns at execution time, guiding adaptive file system policies. In this paper we examine a new method for access pattern classification that uses hidden Markov models, trained on access patterns from previous executions, to create a probabilistic model of input/output… CONTINUE READING
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