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We introduce a user mode file system, CannyFS, that hides latency by assumingall I/O operations will succeed. The user mode process will in turn reporterrors, allowing proper cleanup and a repeated attempt to take place. Wedemonstrate benefits for the model tasks of extracting archives and removingdirectory trees in a real-life HPC environment, giving typical reductions intime use of over 80%.  This approach can be considered a view of HPC jobs and their I/O activity astransactions. In general, file systems lack clearly defined transactionsemantics. Over time, the competing trends to add cache and maintain dataintegrity have resulted in different practical tradeoffs.  High-performance computing is a special case where overall throughput demandsare high. Latency can also be high, with non-local storage. In addition, atheoretically possible I/O error (like permission denied, loss of connection,exceeding disk quota) will frequently warrant the resubmission of a full job ortask, rather than traditional error reporting or handling. Therefore,opportunistically treating each I/O operation as successful, and part of alarger transaction, can speed up some applications that do not leverageasynchronous I/O.

CannyFS: Opportunistically Maximizing I/O Throughput Exploiting the Transactional Nature of Batch-Mode Data Processing