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International Computer Symposium

ICS 2018: New Trends in Computer Technologies and Applications pp 338–345Cite as

Auto-scaling in Kubernetes-Based Fog Computing Platform

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1013))

Abstract

Cloud computing benefits emerging Inter of Things (IoT) applications by providing virtualized computing platform in the cloud. However, increasing demands of low-latency services motivates the placement of computing platform on the edge of network, a new computing paradigm named fog computing. This study assumes container as virtualized computing platform and uses Kubernetes to manage and control geographically distributed containers. We consider the design and implementation of an auto-scaling scheme in this environment, which dynamically adjusts the number of application instances to strike a balance between resource usage and application performance. The key components of the implementation include a scheme to monitor load status of physical hosts, an algorithm that determines the appropriate number of application instances, and an interface to Kubernetes to perform the adjustment. Experiments have been conducted to investigate the performance of the proposed scheme. The results confirm the effectiveness of the proposed scheme in reducing application response time.

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References

  1. de la Bastida, D., Lin, F.J.: OpenStack-based highly scalable IoT/M2M platforms. In: IEEE International Conference on Internet of Things, Exeter, UK, June 2017

    Google Scholar 

  2. Bellavista, P., Zanni, A.: Feasibility of fog computing deployment based on Docker containerization over RaspberryPi. In: Proceedings of the 18th International Conference on Distributed Computing and Networking, January 2017

    Google Scholar 

  3. Brogi, A., Mencagli, G., Neri, D., Soldani, J., Torquati, M.: Container-based support for autonomic data stream processing through the fog. In: Heras, D.B., Bougé, L. (eds.) Euro-Par 2017. LNCS, vol. 10659, pp. 17–28. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75178-8_2

    Chapter  Google Scholar 

  4. Chang, C.C., Yang, S.R., Yeh, E.H., Lin, P., Jeng, J.Y.: A kubernetes-based monitoring platform for dynamic cloud resource provisioning. In: IEEE Global Communications Conference, December 2017

    Google Scholar 

  5. Dupont, C., Giaffreda, R., Capra, L.: Edge computing in IoT context: horizontal and vertical Linux container migration. In: Global Internet of Things Summit, June 2017

    Google Scholar 

  6. Hao, Z., Novak, E., Yi, S.: Challenges and software architecture for fog computing. IEEE Internet Comput. 21(2), 44–53 (2017)

    Article  Google Scholar 

  7. Hu, P., Ning, H., Qiu, T., Zhang, Y., Luo, X.: Fog computing based face identification and resolution scheme in internet of things. IEEE Trans. Ind. Inform. 13(4), 1910–1920 (2017)

    Article  Google Scholar 

  8. Ismail, B.I., Goortani, E.M., Karim, M.B.A.: Evaluation of Docker as edge computing platform. In: 2015 IEEE Conference on Open Systems, Bandar Melaka, Malaysia, August 2015

    Google Scholar 

  9. kubernetes: production-grade container orchestration. https://kubernetes.io/

  10. Mebrek, A., Merghem-Boulahia, L., Esseghir, M.: Efficient green solution for a balanced energy consumption and delay in the IoT-fog-cloud computing. In: 16th International Symposium on Network Computing and Applications, Cambridge, MA, USA, October 2017

    Google Scholar 

  11. Rocket: a security-minded, standards-based container engine. https://coreos.com/rkt

  12. Tsai, P.H., Hong, H.J., Cheng, A.C.: Distributed analytics in fog computing platforms using TensorFlow and Kubernetes. In: 19th Asia-Pacific Network Operations and Management Symposium, Seoul, South Korea, September 2017

    Google Scholar 

  13. Yu, T., Wang, X., Shami, A.: A novel fog computing enabled temporal data reduction scheme in IoT systems. In: IEEE Global Communications Conference, December 2017

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan

    Wei-Sheng Zheng & Li-Hsing Yen

Authors
  1. Wei-Sheng Zheng
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  2. Li-Hsing Yen
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Corresponding author

Correspondence to Li-Hsing Yen .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Douliu, Taiwan

    Chuan-Yu Chang

  2. National Yunlin University of Science and Technology, Douliu, Taiwan

    Chien-Chou Lin

  3. Southern Taiwan University of Science and Technology, Tainan, Taiwan

    Horng-Horng Lin

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Zheng, WS., Yen, LH. (2019). Auto-scaling in Kubernetes-Based Fog Computing Platform. In: Chang, CY., Lin, CC., Lin, HH. (eds) New Trends in Computer Technologies and Applications. ICS 2018. Communications in Computer and Information Science, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-13-9190-3_35

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  • DOI: https://doi.org/10.1007/978-981-13-9190-3_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9189-7

  • Online ISBN: 978-981-13-9190-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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