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Performance Comparison of Lightweight Kubernetes in Edge Devices

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Pervasive Systems, Algorithms and Networks (I-SPAN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1080))

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Abstract

Traditional cloud computing has the challenge to serve many clients with many services. Spreading the services to across of edge server will reduce the load of traditional cloud computing. Kubernetes is one of the platforms used for cloud management. Kubernetes helps to deploy, and scaling the application. Nowadays, a lot of communities build a lightweight Kubernetes than suitable for edge device such as Raspberry Pi. This paper Investigate the performance of Kubernetes lightweight that installed in the Raspberry Pi.

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References

  1. Huang, Y., Cai, K., Zong, R., Mao, Y.: Design and implementation of an edge computing platform architecture using Docker and Kubernetes for machine learning, pp. 29–32 (2019)

    Google Scholar 

  2. Wang, P., Liu, S., Ye, F., Chen, X.: A Fog-based Architecture and Programming Model for IoT Applications in the Smart Grid (2018)

    Google Scholar 

  3. Li, C., Sun, H., Chen, Y., Luo, Y.: Edge cloud resource expansion and shrinkage based on workload for minimizing the cost. Futur. Gener. Comput. Syst. 101, 327–340 (2019)

    Article  Google Scholar 

  4. Cappos, J., Rafetseder, A., Hemmings, M., McGeer, R., Ricart, G.: EdgeNet: a global cloud that spreads by local action. In: Proceedings - 2018 3rd ACM/IEEE Symposium Edge Computer SEC 2018, pp. 359–360 (2018)

    Google Scholar 

  5. Eiermann, A., Renner, M., GroBmann, M.: On a Fog Computing Platform Built on ARM Architectures by Docker Container Technology, vol. 863, pp. 71–86 (2018)

    Google Scholar 

  6. Santoro, D., Zozin, D., Pizzolli, D., De Pellegrini, F., Cretti, S.: Foggy: a platform for workload orchestration in a fog computing environment. In: Proceedings International Conference Cloud Computing Technology Science CloudCom, vol. 2017-December, pp. 231–234 (2017)

    Google Scholar 

  7. Mittermeier, L., Katenbrink, F., Seitz, A., Muller, H., Bruegge, B.: Dynamic scheduling for seamless computing. In: Proceedings - 8th IEEE International Symposium Cloud Service Computing SC2 2018, pp. 41–48 (2018)

    Google Scholar 

  8. Abdollahi Vayghan, L., Saied, M.A., Toeroe, M., Khendek, F.: Deploying microservice based applications with kubernetes: experiments and lessons learned. IEEE Int. Conf. Cloud Comput. CLOUD 2018, 970–973 (2018)

    Google Scholar 

  9. Xiong, Y., Sun, Y., Xing, L., Huang, Y.: Extend cloud to edge with KubeEdge. In: Proceedings - 2018 3rd ACM/IEEE Symposium Edge Computing SEC 2018, pp. 373–377 (2018)

    Google Scholar 

  10. “K3S”. http://k3s.io. Accessed 09 July 2019

  11. “KubeEdge”. http://KubeEdge.io. Accessed 09 July 2019

  12. DockerHub. https://hub.docker.com/u/richardchesterwood. 30 June 2019

  13. “Kubernetes”. https://kubernetes.io/blog/2019/03/19/kubeedge-k8s-based-edge-intro/. 09 July 2019

  14. “RancherOS”. https://rancher.com/rancher-os/. Accessed 09 July 2019

  15. Chang, C., Yang, S., Yeh, E., Lin, P., Jeng, J.: A kubernetes-based monitoring platform for dynamic cloud resource provisioning. In: GLOBECOM 2017 - 2017 IEEE Global Communications Conference, pp. 1–6. Singapore (2017)

    Google Scholar 

  16. Sharma, P., Chaufournier, L., Shenoy, P., Tay, Y.C.: Containers and virtual machines at scale: a comparative study. In: Proceedings of the 17th International Middleware Conference (Middleware 2016), p. 13. ACM, New York, NY, USA, Article 1 (2016)

    Google Scholar 

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Acknowledgment

This work is supported in part by the Ministry of Science and Technology, Taiwan, ROC, under grant number MOST 108-2622-8-029-004-TM1, MOST 108-2221-E-029-010, MOST 106-2221-E-164-009-MY2 and MOST 108-2221-E-126-002.

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Correspondence to Chih-Hung Chang .

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Fathoni, H., Yang, CT., Chang, CH., Huang, CY. (2019). Performance Comparison of Lightweight Kubernetes in Edge Devices. In: Esposito, C., Hong, J., Choo, KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN 2019. Communications in Computer and Information Science, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-30143-9_25

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  • DOI: https://doi.org/10.1007/978-3-030-30143-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30142-2

  • Online ISBN: 978-3-030-30143-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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