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Scalable update propagation in epidemic replicated databases

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Advances in Database Technology — EDBT '96 (EDBT 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1057))

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Abstract

Many distributed databases use an epidemic approach to manage replicated data. In this approach, user operations are executed on a single replica. Asynchronously, a separate activity performs periodic pair-wise comparison of data item copies to detect and bring up to date obsolete copies. The overhead due to comparison of data copies grows linearly with the number of data items in the database, which limits the scalability of the system.

We propose an epidemic protocol whose overhead is linear in the number of data items being copied during update propagation. Since this number is typically much smaller than the total number of data items in the database, our protocol promises significant reduction of overhead.

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Authors and Affiliations

  1. AT&T Bell Laboratories, 600 Mountain Ave, 07974, Murray Hill, NJ

    Michael Rabinovich, Narain Gehani & Alex Kononov

Authors
  1. Michael Rabinovich
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  2. Narain Gehani
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  3. Alex Kononov
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Editor information

Peter Apers Mokrane Bouzeghoub Georges Gardarin

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© 1996 Springer-Verlag Berlin Heidelberg

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Rabinovich, M., Gehani, N., Kononov, A. (1996). Scalable update propagation in epidemic replicated databases. In: Apers, P., Bouzeghoub, M., Gardarin, G. (eds) Advances in Database Technology — EDBT '96. EDBT 1996. Lecture Notes in Computer Science, vol 1057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014154

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  • DOI: https://doi.org/10.1007/BFb0014154

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61057-1

  • Online ISBN: 978-3-540-49943-5

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