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A Microservice-Based Industrial Control System Architecture Using Cloud and MEC

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Edge Computing – EDGE 2020 (EDGE 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12407))

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Abstract

Cloud computing has been adapted for various application areas. Several research projects are underway to migrate Industrial Control Systems (ICSs) to the public cloud. Some functions of ICSs require real-time processing that is difficult to migrate to the public cloud because network latency of the internet is unpredictable. Fog computing is a new computing paradigm that could address this latency issue. In particular, Multi-access Edge Computing (MEC) is a fog computing environment integrated with the 5G network, and therefore the real-time processing requirement of ICSs could be satisfied by using MEC. In this paper, we propose a microservice-based ICS architecture using the cloud and fog computing. In the architecture, each function of an ICS is implemented as a microservice and its execution locations are determined by an algorithm minimizing the total usage fee for cloud and fog computing while satisfying the real-time processing requirement. The proposed architecture and placement algorithm are evaluated by simulation under the scenario of a virtual power plant that manages distributed energy resources. The simulation result shows the proposed placement algorithm suppresses VM usage fee while satisfying the requirement of a real-time control function.

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Notes

  1. 1.

    https://www.docker.com/.

  2. 2.

    https://aws.amazon.com/.

  3. 3.

    https://azure.microsoft.com/.

  4. 4.

    https://cloud.google.com/.

  5. 5.

    https://aws.amazon.com/wavelength.

  6. 6.

    https://aws.amazon.com/ec2/.

  7. 7.

    https://www.meti.go.jp/shingikai/enecho/denryoku_gas/denryoku_gas/seido_kento/pdf/028_05_00.pdf.

  8. 8.

    https://aws.amazon.com/fargate/.

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Author information

Authors and Affiliations

  1. Corporate Research and Development Center, Toshiba Corporation, Kawasaki, Japan

    Yu Kaneko, Yuhei Yokoyama, Nobuyuki Monma, Yoshiki Terashima, Keiichi Teramoto, Takuya Kishimoto & Takeshi Saito

Authors
  1. Yu Kaneko
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  2. Yuhei Yokoyama
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  3. Nobuyuki Monma
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  4. Yoshiki Terashima
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  5. Keiichi Teramoto
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  6. Takuya Kishimoto
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  7. Takeshi Saito
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Corresponding author

Correspondence to Yu Kaneko .

Editor information

Editors and Affiliations

  1. Missouri State University, Springfield, IL, USA

    Ajay Katangur

  2. North Carolina State University, Raleigh, NC, USA

    Shih-Chun Lin

  3. Department of Software and Information System, University of North Carolina, Charlotte, NC, USA

    Jinpeng Wei

  4. Purdue University Northwest, Hammond, IN, USA

    Shuhui Yang

  5. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

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Kaneko, Y. et al. (2020). A Microservice-Based Industrial Control System Architecture Using Cloud and MEC. In: Katangur, A., Lin, SC., Wei, J., Yang, S., Zhang, LJ. (eds) Edge Computing – EDGE 2020. EDGE 2020. Lecture Notes in Computer Science(), vol 12407. Springer, Cham. https://doi.org/10.1007/978-3-030-59824-2_2

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  • DOI: https://doi.org/10.1007/978-3-030-59824-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59823-5

  • Online ISBN: 978-3-030-59824-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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