• DocumentCode
    2896284
  • Title

    Quantitative Analysis of Long-Latency Failures in System Software

  • Author

    Yim, Keun Soo ; Kalbarczyk, Zbigniew T. ; Iyer, Ravishankar K.

  • Author_Institution
    Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2009
  • fDate
    16-18 Nov. 2009
  • Firstpage
    23
  • Lastpage
    30
  • Abstract
    This paper presents a study on long latency failures using accelerated fault injection. The data collected from the experiments are used to analyze the significance, causes, and characteristics of long latency failures caused by soft errors in the processor and the memory. The results indicate that a non-negligible portion of soft errors in the code and data memory lead to long latency failures. The long latency failures are caused by errors with long fault activation times and errors causing failures only under certain runtime conditions. On the other hand, less than 0.5% of soft errors in the processor registers used in kernel mode lead to a failure with latency longer than a thousand seconds. This is due to a strong temporal locality of the register values. The study shows also that the obtained insight can be used to guide design and placement (in the application code and/or system) of application-specific error detectors.
  • Keywords
    digital storage; operating system kernels; program processors; program testing; accelerated fault injection; application-specific error detectors; code errors; data memory; kernel mode; long-latency failures; processor; soft errors; system software analysis; Circuit faults; Computer errors; Delay; Embedded computing; Failure analysis; Hardware; Monitoring; Registers; Supercomputers; System software; Long latency failures; accelerated fault injection; and operating system robustness testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Computing, 2009. PRDC '09. 15th IEEE Pacific Rim International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3849-5
  • Type

    conf

  • DOI
    10.1109/PRDC.2009.13
  • Filename
    5368231