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A Federated In-memory Database System for Life Sciences

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Real-Time Business Intelligence and Analytics (BIRTE 2015, BIRTE 2016, BIRTE 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 337))

Abstract

Cloud computing has become a synonym for elastic provision of shared computing resources operated by a professional service provider. However, data needs to be transferred from local systems to shared resources for processing, which might results in significant process delays and the need to comply with special data privacy acts. Based on the concrete requirements of life sciences research, we share our experience in integrating existing decentralized computing resources to form a federated in-memory database system. Our approach combines advantages of cloud computing, such as efficient use of hardware resources and provisioning of managed software, whilst sensitive data are stored and processed on local hardware only.

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Author information

Authors and Affiliations

  1. Hasso Plattner Institute, Enterprise Platform and Integration Concepts, August-Bebel-Str. 88, 14482, Potsdam, Germany

    Matthieu-P. Schapranow, Cindy Perscheid, Cornelius Bock, Friedrich Horschig, Franz Liedke, Janos Brauer & Hasso Plattner

  2. Max Delbrück Center, Robert-Rössle-Str. 10, 13125, Berlin, Germany

    Alf Wachsmann & Martin Siegert

Authors
  1. Matthieu-P. Schapranow
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  2. Cindy Perscheid
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  3. Alf Wachsmann
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  4. Martin Siegert
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  5. Cornelius Bock
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  6. Friedrich Horschig
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  7. Franz Liedke
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  8. Janos Brauer
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  9. Hasso Plattner
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Corresponding author

Correspondence to Matthieu-P. Schapranow .

Editor information

Editors and Affiliations

  1. Teradata, Santa Clara, CA, USA

    Malu Castellanos

  2. University of Pittsburgh, Pittsburgh, PA, USA

    Panos K. Chrysanthis

  3. University of Pittsburgh, Pittsburgh, PA, USA

    Konstantinos Pelechrinis

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Schapranow, MP. et al. (2019). A Federated In-memory Database System for Life Sciences. In: Castellanos, M., Chrysanthis, P., Pelechrinis, K. (eds) Real-Time Business Intelligence and Analytics. BIRTE BIRTE BIRTE 2015 2016 2017. Lecture Notes in Business Information Processing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-24124-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-24124-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24123-0

  • Online ISBN: 978-3-030-24124-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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