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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:Kurt Ferreira (Sandia National Laboratories, University of New
  Mexico) and Scott Levy (Sandia National Laboratories)\n\nFault tolerance 
 remains a key challenge for current high performance computing systems. Ef
 fective and efficient scheduling of mitigation methods continues to be a c
 ritical issue in the face of dynamic and difficult-to-predict error rates 
 found on many systems. Using failure data from the Astra supercomputer, we
  examine the efficacy of a simple method to determine if a sliding window 
 of recent failures contains an unusual pattern of errors. Specifically, we
  investigate using Benford’s Law to predict the likelihood that the system
  is currently in a period of unusual failure occurrences. While still in i
 ts initial stages, this work provides critical analysis of failure status 
 for extreme-scale systems and a simple form of prediction for determining 
 when the scheduling of failure mitigation may be suboptimal and needs to b
 e reevaluated due to the unusual pattern of errors that are occurring.\n\n
 Tag: Fault Handling and Tolerance, Large Scale Systems\n\nRegistration Cat
 egory: Workshop Reg Pass\n\nSession Chairs: John Daly (US Department of De
 fense), Scott Levy (Sandia National Laboratories), and Keita Teranishi (Oa
 k Ridge National Laboratory (ORNL))\n\n
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