Performance Comparison of Lightweight Kubernetes in Edge Devices

  • Halim Fathoni
  • Chao-Tung Yang
  • Chih-Hung ChangEmail author
  • Chin-Yin Huang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1080)


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.


Lightweight kubernetes K3s KubeEdge Monitoring Edge computing 



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.


  1. 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. 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. 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)CrossRefGoogle Scholar
  4. 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. 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. 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. 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. 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. 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. 10.
    “K3S”. Accessed 09 July 2019
  11. 11.
    “KubeEdge”. Accessed 09 July 2019
  12. 12.
  13. 13.
  14. 14.
    “RancherOS”. Accessed 09 July 2019
  15. 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. 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

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Halim Fathoni
    • 1
    • 2
    • 3
  • Chao-Tung Yang
    • 2
  • Chih-Hung Chang
    • 4
    Email author
  • Chin-Yin Huang
    • 1
  1. 1.Department Industrial Engineering and Enterprise InformationTunghai UniversityTaichungTaiwan (R.O.C.)
  2. 2.Department Computer ScienceTunghai UniversityTaichungTaiwan (R.O.C.)
  3. 3.Department Ekonomi Dan Bisnis Politeknik Negeri LampungBandar LampungIndonesia
  4. 4.College of Computing and InformaticsProvidence UniversityTaichungTaiwan (R.O.C.)

Personalised recommendations