Skip to main content

A Power Grid GIS Cloud Framework Based on Docker and OpenStack

  • Conference paper
  • First Online:
Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 848))

Included in the following conference series:

  • 1182 Accesses

Abstract

The fast development of intelligence power grid has posed increasingly great demand over power grid GIS. To establish a cloud based power grid platform is of great importance to information sharing, information exchange and GIS based application. In this paper, we combine Docker and OpenStack to build a containerized based cloud power grid GIS platform management framework. To take advantage of Docker container’s characteristics such as lightweight, low system overhead, high system resource utilization, easy deployment with multiple running instances and great extensibility, we combine OpenStack to manage the resource in a uniform supervisor which simplify development, testing and maintenance and enhance the system efficiency. Compared with classic cloud based deployment method in a simulated system, our framework can reduce GIS based application deploy time greatly and poses better extensibility as cloud node numbers increase.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Markovic, D.S., Zivkovic, D., Branovic, I., Popovic, R., Cvetkovic, D.: Smart power grid and cloud computing. Renew. Sustain. Energy Rev. 24(Suppl. C), 566–577 (2013). https://doi.org/10.1016/j.rser.2013.03.068

    Article  Google Scholar 

  2. Zhou, Y., Xu, T., Fu, L.: Electric power GIS system architecture based on CIM and SOA. Power Syst. Technol. 38(4), 1115–1121 (2014)

    Google Scholar 

  3. Panteli, M., Kirschen, D.S.: Situation awareness in power systems: theory, challenges and applications. Electr. Power Syst. Res. 122, 140–151 (2015)

    Article  Google Scholar 

  4. Lian, H., Di, X., Shen, Z., Feng, M.: Detailed power distribution network planning based on the description of load characteristics. Paper presented at the China international conference on electricity distribution (CICED) (2014)

    Google Scholar 

  5. Cuffe, P., Keane, A.: Visualizing the electrical structure of power systems. IEEE Syst. J. 11(3), 1810–1821 (2017)

    Article  Google Scholar 

  6. Turnbull, J.: The Docker Book: Containerization is the New Virtualization. James Turnbull (2014)

    Google Scholar 

  7. Docker: Docker Engine (2017). https://docs.docker.com/engine/docker-overview/#docker-engine

  8. OpenStack (2017). https://rmohan.com/?p=3606

  9. OpenStack Glance (2017). https://docs.openstack.org/glance/latest/

  10. Tihfon, G.M., Park, S., Kim, J., Kim, Y.-M.: An efficient multi-task PaaS cloud infrastructure based on Docker and AWS ECS for application deployment. Clust. Comput. 19(3), 1585–1597 (2016)

    Article  Google Scholar 

  11. OpenStack and Docker Integration (2017). https://wiki.openstack.org/wiki/Docker

  12. Green, R.C., Wang, L., Alam, M.: Applications and trends of high performance computing for electric power systems: focusing on smart grid. IEEE Trans. Smart Grid 4(2), 922–931 (2013)

    Article  Google Scholar 

  13. Lin, Y., Yongning, Z.: A review on wind power prediction based on spatial correlation approach. Autom. Electr. Power Syst. 38(14), 126–135 (2014)

    Google Scholar 

  14. Spector, A.Z.: Achieving application requirements. In: Mullender, S. (ed.) Distributed Systems. ACM Press Frontier Series, pp. 19–33. ACM, New York (1989). http://doi.acm.org/10.1145/90417.90738

Download references

Acknowledgement

This work is supported by science and technology project of China State Grid Corporation-Research and Application of Grid GIS Platform Based on Cloud Computing (Grant No. SGTYHT/15-JS-191).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xin Ji .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ji, X., Li, B., Yang, J., Hu, Q. (2018). A Power Grid GIS Cloud Framework Based on Docker and OpenStack. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0893-2_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0892-5

  • Online ISBN: 978-981-13-0893-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics