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On Data Recovery in Distributed Databases

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Information Theory, Combinatorics, and Search Theory

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7777))

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Abstract

We present an approach for data encoding and recovery of lost information in a distributed database system. The dependencies between the informational redundancy of the database and its recovery rate are investigated, and fast recovery algorithms are developed.

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References

  1. Fernau, H.: Complexity of a {0,1}-matrix problem. Austral. J. Combin. 29, 273–310 (2004)

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Author information

Authors and Affiliations

  1. Dept. of Mathematics and Computer Science, University of Wisconsin-Superior, USA

    Sergei L. Bezrukov & Uwe Leck

  2. National Science Foundation, Arlington, VA, USA

    Victor P. Piotrowski

Authors
  1. Sergei L. Bezrukov
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  2. Uwe Leck
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  3. Victor P. Piotrowski
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Editor information

Editors and Affiliations

  1. Department of Mathematics, University of Bielefeld, Universitätsstr. 25, 33615, Bielefeld, Germany

    Harout Aydinian  & Christian Deppe  & 

  2. Department of Computer Science, University of Salerno, via Ponte don Melillo, 84084, Fisciano, Italy

    Ferdinando Cicalese

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Bezrukov, S.L., Leck, U., Piotrowski, V.P. (2013). On Data Recovery in Distributed Databases. In: Aydinian, H., Cicalese, F., Deppe, C. (eds) Information Theory, Combinatorics, and Search Theory. Lecture Notes in Computer Science, vol 7777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36899-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-36899-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36898-1

  • Online ISBN: 978-3-642-36899-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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