User-Centric System Fault Identification Using IO500 Benchmark

Abstract

I/O performance in a multi-user environment is difficult to predict. Users do not know what I/O performance to expect when running and tuning applications. We propose to use the IO500 benchmark as a way to guide user expectations on their application’s performance and to aid identifying root causes of their I/O problems that might come from the system. Our experiments describe how we manage user expectation with IO500 and provide a mechanism for system fault identification. This work also provides us with information of the tail latency problem that needs to be addressed and granular information about the impact of I/O technique choices (POSIX and MPI-IO).

Authors 5

1. Radita Liem Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

2. Dmytro Povaliaiev Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

3. Jay Lofstead

   Sandia National Laboratories California · Sandia National Laboratories

   Affiliation as printed

   Sandia National Labs

4. Julian Martin Kunkel

   University of Göttingen

   Affiliation as printed

   Göttingen University

5. Christian Terboven Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University