- 期刊
Research on Intelligent Distribution Network Architecture based on End-Edge-Cloud Collaborative Computing
摘要
The existing cloud computing-based distribution network architecture can analyze new applications, services, and intelligent collaboration with large amounts of data, but it is still limited by factors such as network flexibility, bandwidth limitations, and delay time. It is used in high-speed, low-latency, and real-time applications. The availability is greatly reduced. Based on the distribution network system of the traditional cloud computing framework, this paper proposes a distributed smart distribution network architecture based on end-edge-cloud collaborative computing, which has strong application value in the process of smart grid construction.
參考文獻
S. Cui, Q. Yu, G. Gu and Q. Gang, "Research on the architecture of electric power information communication network for smart grid," 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), 2017, pp. 1-4, doi: 10.1109/EI2.2017.8245608.
Y. Zhao, L. Chen, Y. Li and W. Tian, "Efficient task scheduling for Many Task Computing with resource attribute selection," in China Communications, vol. 11, no. 12, pp. 125-140, Dec. 2014, doi: 10.1109/ CC.2014.7019847.
Y. Amanatullah, C. Lim, H. P. Ipung and A. Juliandri, "Toward cloud computing reference architecture: Cloud service management perspective," International Conference on ICT for Smart Society, 2013, pp. 1-4, doi: 10.1109/ICTSS.2013.6588059.
X. Tang, Y. Liu, Y. Hu, R. Dai, S. Zhao and Z. Sun, "Process Management for Distribution Networks' Graph Modification Tasks in PMS 2.0 System," 2018 China International Conference on Electricity Distribution (CICED), 2018, pp. 179-183, doi: 10.1109/CICED.2018.8592495.
R. Jain and S. Tata, "Cloud to Edge: Distributed Deployment of Process-Aware IoT Applications," 2017 IEEE International Conference on Edge Computing (EDGE), 2017, pp. 182-189, doi: 10.1109/ IEEE.EDGE. 2017.32.