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Shared Memory Randomized Algorithms and Distributed Models and Algorithms

  • Paris Christos Kanellakis
  • Alex Allister Shvartsman
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 401)

Abstract

IN THIS final chapter1 we give an overview of the research results in robust computation for shared memory randomized algorithms and for the message passing model of computation.

Keywords

Shared Memory Message Complexity Byzantine Agreement Crash Failure Logical Clock 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Bibliographic Notes

  1. [34]
    R. De Prisco, A. Mayer, M. Yung, “Time-Optimal Message-Efficient Work Performance in the Presence of Faults”, in Proc. of the 13-th ACM Symposium on Principles of Distributed Computing, pp. 161–171, 1994.CrossRefGoogle Scholar
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    C. Dwork, J. Halpern, O. Waarts, “Performing Work Efficiently in the Presence of Faults”, to appear in SIAM J. on Computing, prelim. vers. appeared in Proc. 11th ACM Symposium on Principles of Distributed Computing, pp. 91–102, 1992.Google Scholar
  3. [43]
    Z. Galil, A. Mayer and M. Yung, “Resolving the Message Complexity of Byzantine Agreement and Beyond”, in Proceedings of the IEEE Foundations of Computer Science FOCS, 1995.Google Scholar
  4. [102]
    HÀaTwvoç, AnroAo-yta EoicpaTovç,quoted from L. Dyer (ed.), T.D. Seymour (rev.), Plato, Apology of Socrates and Crito,p. 114, 1905 (reprint, Demetrios amp Victor, Booksellers, Los Angeles, 1973).Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Paris Christos Kanellakis
    • 1
  • Alex Allister Shvartsman
    • 2
  1. 1.Brown UniversityProvidenceUSA
  2. 2.Massachusetts Institute of TechnologyCambridgeUSA

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