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Low-Disruptive and Timely Dynamic Software Updating of Smart Grid Components

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Smart Grid Inspired Future Technologies (SmartGift 2017)

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Abstract

Components in the power grid require security, high availability and real-time communications for reliable operation. But these components are based on software that contains issues that need to be fixed. Timely installation of software updates allows securing vulnerable software quickly but conventionally disrupts availability and communications. Rolling updates on redundant systems prevent such disruptions but delay update installations as they need to be prepared carefully to update reliably. Dynamic Software Updating shortens the installation duration of updates by implementing them in-memory, allowing timely hot-fixing and installation of new features without service disruption or degradation in soft real-time communications. As the Smart Grid settles on standardization and common technologies for interoperability, the need for timely hot-fixing and updating of software applications and libraries which are in widespread use increases.

In this paper, we discuss requirements of Smart Grid components and their updating opportunities. Afterwards, we present Lusagent, our dynamic updating system for Java 6 to 8 that is based on a novel eager program state transformation approach. We illustrate its programming efforts in a case study on an open-source Java control system framework and on several other server applications. Furthermore, we present performance measurements of dynamically updating these applications. The results demonstrate the potential of our dynamic updating approach in enabling low-disruptive and timely updating of highly available and widespread components at low and only one-time programming efforts.

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Notes

  1. 1.

    Code of Lusagent and evaluated applications: https://github.com/lusagent

  2. 2.

    https://github.com/tango-controls/JTango

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Authors and Affiliations

  1. Karlsruhe Institute of Technology, Vincenz-Priessnitz-Str. 1, 76131, Karlsruhe, Germany

    Martin Alexander Neumann, Christoph Tobias Bach, Yong Ding, Till Riedel & Michael Beigl

Authors
  1. Martin Alexander Neumann
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  2. Christoph Tobias Bach
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  3. Yong Ding
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  4. Till Riedel
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  5. Michael Beigl
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Corresponding author

Correspondence to Martin Alexander Neumann .

Editor information

Editors and Affiliations

  1. Queen Mary University of London, London, United Kingdom

    Eng Tseng Lau

  2. Queen Mary University of London, London, United Kingdom

    Michael K.K. Chai

  3. Queen Mary University of London, London, United Kingdom

    Yue Chen

  4. Austrian Institute of Technology, Vienna, Austria

    Oliver Jung

  5. University of British Columbia, Vancouver, British Columbia, Canada

    Victor C.M. Leung

  6. University of Essex, Colchester, United Kingdom

    Kun Yang

  7. Austrian Institute of Technology, Vienna, Austria

    Sandford Bessler

  8. Middlesex University London, London, United Kingdom

    Jonathan Loo

  9. University of Tsukuba, Ibaraki, Japan

    Tomonori Nakayama

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Neumann, M.A., Bach, C.T., Ding, Y., Riedel, T., Beigl, M. (2017). Low-Disruptive and Timely Dynamic Software Updating of Smart Grid Components. In: Lau, E., et al. Smart Grid Inspired Future Technologies. SmartGift 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-319-61813-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-61813-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61812-8

  • Online ISBN: 978-3-319-61813-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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