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Measuring the Quality of Service of Optimistic Replication

  • Geoffrey H. Kuenning
  • Rajive Bagrodia
  • Richard G. Guy
  • Gerald J. Popek
  • Peter Reiher
  • An-I Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1543)

Abstract

In large systems, replication is a useful technique for improving information accessibility and surviving network unreliability. Optimistic replication trades of consistency for availability, allowing updates despite communication failures at a small risk of violating single-copy serializability.

Keywords

Information System Operating System Communication Network Large System Database Management 
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.

References

  1. 1.
    J. Heidemann, A. Goel, and G. Popek. Defining and Measuring Conflicts in Optimistic Replication. Technical Report UCLA-CSD-950033, University of California, Los Angeles, September, 1995.Google Scholar
  2. 2.
    P. Kumar and M. Satyanarayanan. Flexible and safe resolution of file conflicts. USENIX Conference Proceedings, USENIX, New Orleans,LA, January, 1995.Google Scholar
  3. 3.
    T. W. Page, R. G. Guy, J. S. Heidemann, D. Ratner, P. Reiher, A. Goel, G. H. Kuenning, and G. J. Popek. Perspectives on optimistically replicated peer-to-peer filing. Software—Practice and Experience, 28(2), pages 155–180, February, 1998.CrossRefGoogle Scholar
  4. 4.
    A. A. Wang, P. L. Reiher, and R. Bagrodia. A Simulation Framework for Evaluating Replicated Filing Environments. Technical Report CSD-970018, University of California, Los Angeles, June, 1997.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Geoffrey H. Kuenning
    • 1
  • Rajive Bagrodia
    • 1
  • Richard G. Guy
    • 1
  • Gerald J. Popek
    • 1
  • Peter Reiher
    • 1
  • An-I Wang
    • 1
  1. 1.Computer Science DepartmentUCLALos Angeles

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