DOI QR코드

DOI QR Code

지능형 에지 컴퓨팅 및 네트워킹 기술

Technologies of Intelligent Edge Computing and Networking

  • 발행 : 2019.02.01

초록

In the upcoming post-app era, real-time, intelligent and immersive services such as autonomous vehicles, virtual secretaries, virtual reality, and augmented reality are expected to dominate. However, there is a growing demand for new networking and computing infrastructure capabilities because existing physical connection-oriented networks and centralized cloud-based service environments have inherent limitations to effectively accommodate these services. To this end, research on intelligent edge network computing technology is underway to analyze the contextual situation of human and things and to configure the service environment on the network edge so that the application services can be performed optimally. In this article, we describe the technology issues for edge network intelligence and introduce related research trends.

키워드

HJTOCM_2019_v34n1_23_f0001.png 이미지

(그림 1) 지능형 에지 네트워크 개념도

HJTOCM_2019_v34n1_23_f0002.png 이미지

(그림 2) DNN 협력적 분산 처리 구조

HJTOCM_2019_v34n1_23_f0003.png 이미지

(그림 3) 분산 에지 마이크로 서비스 관리 구조

HJTOCM_2019_v34n1_23_f0004.png 이미지

(그림 4) 분산 에지 동적 자원 자율관리 구조

HJTOCM_2019_v34n1_23_f0005.png 이미지

(그림 5) 분산 에지 네트워킹 구조

HJTOCM_2019_v34n1_23_f0006.png 이미지

(그림 6) 실시간 Telemetry 측정 및 감시 구성도

참고문헌

  1. M. Resnick, N. Jones, and M. O'Neill, "Preparing for a World Beyond Apps," Gartner, May 18, 2017.
  2. K. Panetta, "Gartner's Top 10 Strategic Technology Trends for 2017," Gartner, Oct. 18, 2016.
  3. D. Cearley, B. Burke, and M. Walker, "Top 10 Strategic Technology Trends for 2016," Gartner, Feb. 29, 2016.
  4. Frost & Sullivan, "Future Applications of Virtual Reality (Immersive Computing)," Frost & Sullivan, Dec. 30, 2016.
  5. LG CNS, "Creative & Smart Welcome to LG CNS official blog," LG CNS, Apr. 2018.
  6. B. Butler, "에지 컴퓨팅의 이해와 네트워크의 변화," ITWorld Korea, Sept. 26, 2017.
  7. D. Reinsel, J. Gantz, and J. Rydning, "The Digitization of the World from Edge to Core, DATA AGE 2025," IDC, Nov. 2018.
  8. S. Teerapittayanon, B. McDanel, and H. Kung, "Distributed Deep Neural Networks over the Cloud, the Edge and End Devices," in Proc. IEEE Int. Conf. Distr. Comput. Syst., Atlanta, GA, USA, June 5-8, 2017, pp. 328-339.
  9. E. Li, Z. Zhou, and X. Chen, "Edge Intelligence: On-Demand Deep Learning Model Co-inference with Device-Edge Synergy," in Proc. Workshop Mobile Edge Commun., Budapest, Hungary, Aug. 20, 2018, pp. 31-36.
  10. Y. Kang et al., "Neurosurgeon: Collaborative Intelligence between the Cloud and Mobile Edge," in Proc. Int. Conf. Archit. Support Program. Lang. Oper. Syst., Xi'an, China, Apr. 8-12, 2017, pp. 615-629.
  11. ONAP Project, https://onap.readthedocs.io/en/latest/
  12. A. Xiang et al, "NFV Release 2: Management and Orchestration: Functional Requirements Specification," ETSI GS NFV-IFA 010 V2.3.1, Aug. 2017.
  13. K. Tocz and S. Nadjm-Tehrani, "A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing," Wireless Commun. Mobile Comput., vol. 2018, May 2018, pp. 7476201:1-7476201:23.
  14. B.J. Ko and K.K. Leung, "Machine Learning for Dynamic Resource Allocation at Network edge," in SPIE Defense+Security, Orlando, FL, USA, May 2018.
  15. Y. Nam, S. Song, and J.M. Chung, "Clustered NFV Service Chaining Optimization in Mobile Edge Clouds," IEEE Commun. Lett., vol. 21, no. 2, Feb. 2018, pp. 350-353. https://doi.org/10.1109/LCOMM.2016.2618788
  16. W. Tarneberg et al.,"Dynamic Application Placement in the Mobile Cloud Network," Future Generation Comput. Syst., vol. 70, May 2017, pp. 163-177. https://doi.org/10.1016/j.future.2016.06.021
  17. Y. Zhang, J. Yao, and H. Guan, "Intelligent Cloud Resource Management with Deep Reinforcement Learning," IEEE Cloud Comput., vol. 4, no. 6, Oct. 2017, pp. 60-69. https://doi.org/10.1109/MCC.2017.41
  18. W. Tarneberg et al., "Resource Management with Deep Reinforcement Learning," HotNets '16, Proc. ACM Workshop Hot Topics Netw., Atlanta, GA, USA, Nov. 9-10, 2016, pp. 50-56.
  19. Wikipedia, "Customer-Premises Equipment," Available: https://en.wikipedia.org/wiki/Customer-premises_equipment
  20. AT&T, "AT&T Universal Customer Premises Equipment (uCPE)," AT&T Whitepaper, June 2016.
  21. Netmanias Blog, "SDN/NFV-based Enterprise Service (vCPE) Commercialization - AT&T and Verizon," Aug. 2016.
  22. M.C. Smith, "Is SD-WAN better than MPLS?" Network World, Sept., 2017. Available: https://www.networkworld.com/article/3226371/wide-area-networking/is-sd-wan-better-than-mpls.html
  23. J. Ruparel, "How SD-WAN as a Service Solves MPLS Limitations," sdx Cetral, Oct., 2018. Available: https://www.sdxcentral.com/articles/contributed/sd-wan-as-a-service-solves-mpls-limitations/2018/10/
  24. Riverbed, "Key Requirements for SD-WAN: Rethink Networking for the Cloud Era," Riverbed Whitepaper, 2017.
  25. ZeroTier Project, "ZeroTier Manual," Available: https://my.zerotier.com/
  26. K8S Project, "Cluster Networking Documentations," Available: https://kubernetes.io/docs/concepts/cluster-administration/networking/
  27. sFlow Project, https://sflow.org/
  28. P4 Project, https://p4.org/