Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Analysis of Open Source Edge Computing Platforms: Architecture, Features, and Comparison

오픈 소스 엣지 컴퓨팅 플랫폼 분석: 구조, 특징, 비교

  • Lim, Huhnkuk (Division of Computer and Information Engineering, Hoseo University) ;
  • Lee, Heejin (Division of Computer and Information Engineering, Hoseo University)
  • Received : 2020.07.21
  • Accepted : 2020.07.28
  • Published : 2020.08.31
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Abstract

Edge computing is a technology that can prepare for a new era of cloud computing. Edge computing is not a remote data center where data is processed and computed, but low-latency/high-speed computing is realized by adding computing power and data processing power to the edge side close to an access point such as a terminal device or a gateway. It is possible. The types of edge computing include mobile edge computing, fog computing, and cloudlet computing. In this article, we describes existing open source platforms for implementing edge computing nodes. By presenting and comparing the structure, features of open source edge platforms, it is possible to acquire knowledge required to select the best edge platform for industrial engineers who want to build an edge node using an actual open source edge computing platform.

엣지 컴퓨팅은 데이터를 처리하고 연산하는 곳이 멀리 떨어진 데이터센터에 있는 게 아니라, 단말 장치 혹은 게이트웨이와 같은 엑세스 포인트에 가까운 엣지 사이드에 컴퓨팅 능력 및 데이터 처리 능력을 부가함으로써 저지연/초고속컴퓨팅의 실현을 가능케 한다. 이러한 엣지 컴퓨팅의 종류로는 Mobile edge computing, Fog computing, Cloudlet computing이 있으며, 본 논문에서는 엣지 컴퓨팅을 실제 구현/구축하기 위해 현존하는 오픈 소스 플랫폼들에 대해 초점을 맞추고 분석한다. 각 오픈 소스 엣지 플랫폼에 대해 구조 및 특징들을 체계적으로 묘사하고 비교 분석함으로써 오픈 소스 엣지 플랫폼을 이용하여 실제 엣지 노드를 구축 하고자 하는 산업계 엔지니어들에게 사용 사례에 부합한 최선의 엣지 플랫폼을 선택 할 수 있도록 하나의 제반 지식을 제공하고자 한다.

Keywords

References

  1. P. Mach, and Z. Becvar, "Mobile edge computing: A survey on architecture and computation offloading," IEEE Communications Surveys & Tutorials, vol. 19, no. 3,
  2. W. Yu, F. Liang, X. He, W. G. Hatcher, C. Lu, and J. Lin, "A survey on the edge computing for the Internet of Things," IEEE Access, vol. 6, pp. 6900-6919, Nov. 2017. https://doi.org/10.1109/access.2017.2778504
  3. W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, "Edge computing: Vision and challenges," IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637-646, Oct. 2016. https://doi.org/10.1109/JIOT.2016.2579198
  4. Y. Mao, C. You, J. Zhang, K. Huang, and K. B. Letaief, "A Survey on Mobile Edge Computing: The Communication Perspective," IEEE Communicartions Surveys & Tutorials, vol. 19, pp. 2322-2358, Aug. 2017. https://doi.org/10.1109/COMST.2017.2745201
  5. L. Tong, Y. Li, and W. Gao, "A hierarchical edge cloud architecture for mobile computing," IEEE International Conference on Computer Communications 2016, pp. 1-9
  6. D. M. Shila, W. Shen, Y. Cheng, X. Tian, and X. S. Shen, "AMCloud: Toward a secure autonomic mobile ad hoc cloud computing system," IEEE Wireless Commun, vol. 24, no. 2, pp. 74-81, Apr. 2017. https://doi.org/10.1109/MWC.2016.1500119RP
  7. B. Ismail, E. Goortani, M. Karim, and W. Setapa, "Challenges and opportunities in edge computing," 2015 IEEE Conference on Open Systems, pp. 24-29, Aug. 2015.
  8. Y. Kim, H. Yang, and J. Oh, "Edge Computing Open Source Project Trends," The Proceedings of the Korean Institute of Electromagnetic Engineering and Science, vol. 30, no. 3, pp. 16-22, May. 2019.
  9. Akraino [Internet]. Available: https://www.lfedge.org/projects-old/akraino/.
  10. StalingX [Internet]. Available: https://www.starlingx.io/.
  11. Airship [Internet]. Available: https://www.airshipit.org/.
  12. OpenEdge [Internet]. Available: https://www.opennetworking.org/cord/.
  13. OPNFV [Internet]. Available: https://www.opnfv.org/.
  14. EdgeX Foundy [Internet]. Available: https://www.edgexfoundry.org/.
  15. OpenEdge [Internet]. Available: https://www.opencompute.org/.
  16. KubeEdge [Interent]. Available: https://kubeedge.io/ko/