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Optimal equidistant checkpointing of fault tolerant systems subject to correlated failure

Author

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  • Bentolhoda Jafary
  • Lance Fiondella
  • Ping-Chen Chang

Abstract

Checkpointing is a technique to back up work at periodic intervals so that if computation fails, it will not be necessary to restart from the beginning but will instead be able to restart from the latest checkpoint. Performing checkpointing operations requires time. Therefore, it is necessary to consider the tradeoff between the time to perform checkpointing operations and the time saved when computation restarts at a checkpoint. This article presents a method to model the impact of correlated failures on an application that performs a specified amount of computation and implements checkpointing operations at equidistant periods during this computation. We develop a Markov model and superimpose a correlated life distribution. Two cases are considered. The first assumes that reaching a checkpoint resets the failure distribution. The second allows the probability of failure to progress. We illustrate the approach through a series of examples. The results indicate that correlation can negatively impact checkpointing, necessitating more frequent checkpointing and increasing the total time required, but that the approach can still identify the optimal number of equidistant checkpoints, despite this correlation.

Suggested Citation

  • Bentolhoda Jafary & Lance Fiondella & Ping-Chen Chang, 2020. "Optimal equidistant checkpointing of fault tolerant systems subject to correlated failure," Journal of Risk and Reliability, , vol. 234(4), pages 636-648, August.
    • Handle: RePEc:sae:risrel:v:234:y:2020:i:4:p:636-648
    DOI: 10.1177/1748006X19893569
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    References listed on IDEAS

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    1. Jafary, Bentolhoda & Fiondella, Lance, 2016. "A universal generating function-based multi-state system performance model subject to correlated failures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 16-27.
    2. Catello Di Martino & Zbigniew Kalbarczyk & Ravishankar Iyer, 2016. "Measuring the Resiliency of Extreme-Scale Computing Environments," Springer Series in Reliability Engineering, in: Lance Fiondella & Antonio Puliafito (ed.), Principles of Performance and Reliability Modeling and Evaluation, pages 609-655, Springer.
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