The price of resiliency: a case study on sorting with memory faults

  • Authors:
  • Umberto Ferraro-Petrillo;Irene Finocchi;Giuseppe F. Italiano

  • Affiliations:
  • Dipartimento di Statistica, Probabilità e Statistiche Applicate, Università di Roma "La Sapienza", Rome, Italy;Dipartimento di Informatica, Università di Roma "La Sapienza", Roma, Italy;Dipartimento di Informatica, Sistemi e Produzione, Università di Roma "Tor Vergata", Roma, Italy

  • Venue:
  • ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
  • Year:
  • 2006

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Abstract

We address the problem of sorting in the presence of faults that may arbitrarily corrupt memory locations, and investigate the impact of memory faults both on the correctness and on the running times of mergesort-based algorithms. To achieve this goal, we develop a software testbed that simulates different fault injection strategies, and we perform a thorough experimental study using a combination of several fault parameters. Our experiments give evidence that simpleminded approaches to this problem are largely impractical, while the design of more sophisticated resilient algorithms seems really worth the effort. Another contribution of our computational study is a carefully engineered implementation of a resilient sorting algorithm, which appears robust to different memory fault patterns.