The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Estimating Error-Probability and Its Application for Optimizing Roll-back Recovery with Checkpointing

På svenska

Author

  • Dimitar Nikolov
  • Urban Ingelsson
  • Virendra Singh
  • Erik Larsson

Summary, in English

The probability for errors to occur in electronic systems is not known in advance, but depends on many factors including influence from the environment where the system operates. In this paper, it is demonstrated that inaccurate estimates of the error probability lead to loss of performance in a well known fault tolerance technique, Roll-back Recovery with checkpointing (RRC). To regain the lost performance, a method for estimating the error probability along with an adjustment technique are proposed. Using a simulator tool that has been developed to enable experimentation, the proposed method is evaluated and the results show that the proposed method provides useful estimates of the error probability leading to near-optimal performance of the RRC fault-tolerant technique.

Publishing year

2010

Language

English

Pages

281-285

Publication/Series

[Host publication title missing]

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

5th IEEE Intl. Symposium on Electronic Design, and Applications (DELTA 2010)

Conference date

2010-01-13 - 2010-01-15

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-0-7695-3978-2