Exploiting Global Input / Output Access Pattern Classi cation
نویسندگان
چکیده
منابع مشابه
Pattern Classi cation Using Hidden Markov Models
Input/output performance on current parallel le systems is sensitive to a good match of application access pattern to le system capabilities. Automatic input/output access classiication can determine application access patterns at execution time, guiding adaptive le system policies. In this paper we examine a new method for access pattern classiication that uses hidden Markov models, trained on...
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Parallel input/output systems attempt to alleviate the performance bottleneck that aaects many input/output intensive applications. In such systems, an understanding of the application access pattern, especially how requests from multiple processors for diierent le regions are logically related, is important for optimizing le system performance. We propose a method for automatically classifying...
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تاریخ انتشار 1997