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Experimental evaluation of certification trails using abstract data type validation

Published 2019-06-26 From Legacy CDMS 3 authors

Attribution

This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Legacy CDMS.

Abstract

Verbatim from NASA NTRS. Not paraphrased, not summarized.

Certification trails are a recently introduced and promising approach to fault-detection and fault-tolerance. Recent experimental work reveals many cases in which a certification-trail approach allows for significantly faster program execution time than a basic time-redundancy approach. Algorithms for answer-validation of abstract data types allow a certification trail approach to be used for a wide variety of problems. An attempt to assess the performance of algorithms utilizing certification trails on abstract data types is reported. Specifically, this method was applied to the following problems: heapsort, Hullman tree, shortest path, and skyline. Previous results used certification trails specific to a particular problem and implementation. The approach allows certification trails to be localized to 'data structure modules,' making the use of this technique transparent to the user of such modules.

Authors

  • Wilson, Dwight S. Johns Hopkins Univ.
  • Sullivan, Gregory F. Johns Hopkins Univ.
  • Masson, Gerald M. Johns Hopkins Univ.

Citation: Wilson, Dwight S., Sullivan, Gregory F., Masson, Gerald M. (2019). Experimental evaluation of certification trails using abstract data type validation. Legacy CDMS. NASA NTRS ID 19940031560. https://ntrs.nasa.gov/citations/19940031560 ↗