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DTSTART;TZID=America/Denver:20231112T162600
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UID:submissions.supercomputing.org_SC23_sess434_ws_ftxs109@linklings.com
SUMMARY:Using Benford's Law to Identify Unusual Failure Regions
DESCRIPTION:Workshop\n\nKurt Ferreira (Sandia National Laboratories, Unive
 rsity of New Mexico) and Scott Levy (Sandia National Laboratories)\n\nFaul
 t tolerance remains a key challenge for current high performance computing
  systems. Effective and efficient scheduling of mitigation methods continu
 es to be a critical issue in the face of dynamic and difficult-to-predict 
 error rates found on many systems. Using failure data from the Astra super
 computer, we examine the efficacy of a simple method to determine if a sli
 ding window of recent failures contains an unusual pattern of errors. Spec
 ifically, we investigate using Benford’s Law to predict the likelihood tha
 t the system is currently in a period of unusual failure occurrences. Whil
 e still in its initial stages, this work provides critical analysis of fai
 lure status for extreme-scale systems and a simple form of prediction for 
 determining when the scheduling of failure mitigation may be suboptimal an
 d needs to be reevaluated due to the unusual pattern of errors that are oc
 curring.\n\nTag: Fault Handling and Tolerance, Large Scale Systems\n\nRegi
 stration Category: Workshop Reg Pass\n\nSession Chairs: John Daly (US Depa
 rtment of Defense), Scott Levy (Sandia National Laboratories), and Keita T
 eranishi (Oak Ridge National Laboratory (ORNL))
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