POSTER: Optimizing scientific file I/O patterns using advice based knowledge

Giuseppe Congiu, Matthias Grawinkel, Federico Padua, James Morse, Tim Süß, André Brinkmann · 2014

Before us, other works have used data prefetching to boost applications performance [1]–[8]. Our approach differs from these works since we do not rely on precise I/O pattern information to predict and prefetch every chunck of data in advance. Instead we use data prefetching to group many small requests in a few big ones, improving applications performance and utilization of the whole storage system. Moreover, we provide the infrastructure that enables users to access file system specific interfaces for guided I/O without modifying applications and hiding the intrinsic complexity that such interfaces introduce.

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