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High Availability Archive for Time-Based Data

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Computer Science and Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 114))

Abstract

An approach for archiving time-based data is presented. The basic idea is to split data intelligently into separate time-dependent areas having different logical and physical properties. It is especially useful and sustainable when dealing with just a few but very big data tables, when all-time availability becomes a principal issue or when it is necessary to have a fast restore in case of a disaster recovery—even if the database reaches sizes over one TB.

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Author information

Authors and Affiliations

  1. Siemens AG, Humboldt str. 59, 90459, Nuremberg, Germany

    Tobias Haag, Thomas Meier & Izudin Dzafic

Authors
  1. Tobias Haag
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  2. Thomas Meier
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  3. Izudin Dzafic
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Corresponding author

Correspondence to Tobias Haag .

Editor information

Editors and Affiliations

  1. SeoulTech, Computer Science and Engineering, Seoul University of Science & Technology, Gongreung 2-dong 172, Seoul, 139-742, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Inst. Computer Science & Information, Engineering, National Ilan University, 1 Sec. 1, Shen-Lung Rd., I-Lan, 260, Taiwan R.O.C.

    Han-Chieh Chao

  3. , Computer Science & Software Engineering, Monmouth University, W. Long Branch, 07764, USA

    Mohammad S. Obaidat

  4. , Division of e-Business, Kyungnam University, Changwon, Korea, Republic of (South Korea)

    Jongsung Kim

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© 2012 Springer Science+Business Media B.V.

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Haag, T., Meier, T., Dzafic, I. (2012). High Availability Archive for Time-Based Data. In: J. (Jong Hyuk) Park, J., Chao, HC., S. Obaidat, M., Kim, J. (eds) Computer Science and Convergence. Lecture Notes in Electrical Engineering, vol 114. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2792-2_20

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  • DOI: https://doi.org/10.1007/978-94-007-2792-2_20

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2791-5

  • Online ISBN: 978-94-007-2792-2

  • eBook Packages: EngineeringEngineering (R0)

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