Design and Implementation of Dispatching and Control Cloud PaaS Platform Based on Container

被引：0
|
作者：
Yang Q. [1 ]
Chen Z. [1 ,2 ]
Liu D. [1 ]
Xia W. [1 ]
Huang Y. [1 ]
Li D. [1 ]
Di F. [1 ]
Gao X. [3 ]
机构：
[1] Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology, China Electric Power Research Institute, Haidian District, Beijing
[2] Big Data Center, State Grid Corporation of China, Xicheng District, Beijing
[3] Institute of Microelectronics, Chinese Academy of Sciences, Chaoyang District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 06期
关键词：
Dispatching and control cloud; Docker container; Elastic telescoping; PaaS platform; Resource scheduling;
D O I：
10.13335/j.1000-3673.pst.2019.1565
中图分类号：
学科分类号：
摘要：
With the continuous advancement of the dispatching and control cloud, the traditional dispatching and control cloud based on virtualization technology has no good support in resource scheduling, elastic scaling, rapid response of the applications and other aspects, which poses a certain threat to the maintainability and availability of the dispatching and control cloud platform based on virtualization technology. The rapid development of docker technology solved the shortcomings of the traditionally virtual machine based PaaS platform of the dispatching and control cloud. In this paper, the Docker container technology is used to design the PaaS platform of the dispatching and control cloud, at the same time, the resource scheduling, elastic scaling and rapid response for container was analyzed and verified. The experiment shows that the container based PaaS platform of the dispatching and control cloud has good effect in the aspects of reasonable resource allocation, timely response, elastic management and so on. © 2020, Power System Technology Press. All right reserved.
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页码：2030 / 2037
页数：7
相关论文
共 18 条
  • [1] Liang Shouyu, Hu Rong, Zhou Huafeng, Et al., A new generation of power dispatching automation system based on cloud computing architecture, Southern Power System Technology, 10, 6, pp. 8-14, (2016)
  • [2] Xu Hongqiang, The architecture of dispatching and control cloud and its application prospect, Power System Technology, 41, 10, pp. 3104-3111, (2017)
  • [3] Cao Yang, Gao Zhiyuan, Yang Shengchun, Et al., Application of cloud computing in power dispatching systems, Electric Power, 45, 6, pp. 14-17, (2012)
  • [4] Wang Junxiang, Guo Lei, Enterprise container cloud platform solution based on kubernetes and docker technology, Journal of Shanghai Institute of Ship Transportation Science, 41, 3, pp. 51-57, (2018)
  • [5] (2018)
  • [6] Peng Liping, Lu Xiaodan, Jiang Chaohui, Et al., Flexible scheduling strategy of cloud resources based on Docker[J], Computer application, 38, 2, pp. 557-562, (2018)
  • [7] Qi Lei, Zhang Haifeng, Zhang Tianxiao, Et al., PaaS cloud platform scheme based on container technology, Telecommunications Science, 33, 4, pp. 177-182, (2017)
  • [8] (2017)
  • [9] Bhimani J, Yang Z, Mi N, Et al., Docker container scheduler for I/O intensive applications running on NVMe SSDs[J], IEEE Transactions on Multi-Scale Computing Systems, 4, 3, pp. 313-326, (2018)
  • [10] (2017)
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