Exclusive: Digital and Intelligent Development of Power Grid

Efficient application management and control method for container-based cloud edge

  • ZHANG Jianwen ,
  • MAO Zhengxiong ,
  • JIANG Ying ,
  • HUANG Shifeng ,
  • ZHANG Jinsong ,
  • YANG Benfu ,
  • YANG Shijun
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  • 1. Information Center of Yunnan Power Grid Co., Ltd., Kunming 650011, China;
    2. Kunming Power Supply Bureau of Yunnan Power Grid Co., Ltd., Kunming 650011, China;
    3. Yunnan Yundian Tongfang Technology Co., Ltd., Kunming 650011, China

Received date: 2023-09-13

  Revised date: 2023-12-19

  Online published: 2024-06-12

Abstract

With the surge of demand for edge computing, cloud edge collaboration has become an important evolution direction. One of the difficulties of cloud edge collaboration development lies in the deployment, management, update and upgrade of edge end and applications running on it. Container technology provides ideas for solving the above problem. Based on the lightweight, fast deployment, and easy portability characteristics of container technology, an efficient cloud edge application control method based on containerization was studied, including adding container design to the overall architecture of cloud edge collaboration and using container based application collaboration design; studying the cloud deployment update management mechanism; conducting research and implementation on the design content of container application deployment and updates, as well as container and application distribution. Experimental verification showed that this method could significantly improve system energy consumption, efficiency, computational latency, and cloud CPU utilization efficiency, thereby improving system update rate and increasing the number of available edge nodes on the server and data processing capacity. It could greatly optimize the cloud edge collaborative system and also greatly improve the overall system's computing power. The application of this technology can improve the problems of tight computing resources, heterogeneous edge devices, and complex and diverse service management requirements on the edge of the Power Grid smart electricity platform, achieving efficient application control of the Power Grid smart electricity cloud edge collaborative platform.

Cite this article

ZHANG Jianwen , MAO Zhengxiong , JIANG Ying , HUANG Shifeng , ZHANG Jinsong , YANG Benfu , YANG Shijun . Efficient application management and control method for container-based cloud edge[J]. Science & Technology Review, 2024 , 42(9) : 51 -59 . DOI: 10.3981/j.issn.1000-7857.2022.07.01102

References

[1] 白浩, 周长城, 袁智勇, 等. 基于数字孪生的数字电网展望和思考[J]. 南方电网技术, 2020, 14(8): 18-24, 40.
[2] 杜羽, 张兆云, 赵洋. 边缘计算在智能电网中的应用综述[J]. 湖北电力, 2021, 45(3): 72-81.
[3] 王骏翔, 郭磊. 基于 Kubernetes 和 Docker 技术的企业级容器云平台解决方案[J]. 上海船舶运输科学研究所学报, 2018, 41(3): 51-57.
[4] 耿贞伟, 权鹏宇, 李少华. 基于容器技术的电力系统业务应用资源池系统设计研究[J]. 数字技术与应用, 2017(1): 45-47.
[5] 陈清金, 陈存香, 张岩. Docker技术实现分析[J]. 信息通信技术, 2015, 9(2): 37-40.
[6] 汪恺, 张功萱, 周秀敏. 基于容器虚拟化技术研究[J]. 计算机技术与发展, 2015, 25(8): 138-141.
[7] 李迎. 基于Docker的新一代PaaS平台关键技术研究[D]. 西安: 西安理工大学系统工程学院, 2019.
[8] 刘思尧, 李强, 李斌. 基于 Docker 技术的容器隔离性研究[J]. 软件, 2015, 36(4): 110-113.
[9] 杨清波, 陈振宇, 刘东, 等. 基于容器的调控云PaaS平台的设计与实现[J]. 电网技术, 2020, 44(6): 2030-2037.
[10] 朱明伟. 云边资源协同技术研究[C]//5G 网络创新研讨会论文集. 北京: 移动通信杂志社, 2021: 125-129.
[11] 李彬, 贾滨诚, 曹望璋, 等. 边缘计算在电力需求响应业务中的应用展望[J]. 电网技术, 2018, 42(1): 79-87.
[12] 中国信息通讯研究院. 云边协同关键技术态势研究报告[R]. 北京: 云计算开源产业联盟, 2021.
[13] 宋胜攀, 刘振慧, 庄东燃. 开源容器技术安全分析[J]. 保密科学技术, 2021(1): 29-35.
[14] 刘亚. 关于 Docker 镜像仓库技术的研究[J]. 科学技术创新, 2021(29): 76-78.
[15] 许孟豪, 孙美, 林静, 等. 基于云边架构的容器应用协同技术研究[J]. 铁路计算机应用, 2023, 32(4): 7-10.
[16] 黄倩, 黄蓉, 王友祥, 等. 开源边缘计算平台研究分析[J]. 邮电设计技术, 2021(10): 88-92.
[17] 陈卫, 郑炜, 汤毅. 基于 KubeEdge 的云边协同技术架构的探索[J]. 微型电脑应用, 2020, 36(7): 155-157.
[18] 赵航, 刘胜, 罗坤, 等. 面向 KubeEdge边缘计算系统应用研究[J]. 智能科学与技术学报, 2022, 4(1): 118-128.
[19] 郭献彬, 林志达, 曹小明, 等. Docker 容器技术的应用部署平台设计与研究[J]. 单片机与嵌入式系统应用, 2021, 21(6): 11-14, 19.
[20] 刘丽娜, 李方硕, 王韬, 等. HPLC应用场景下的台区曲线采集效率提升方法研究[J]. 重庆理工大学学报(自然科学), 2022, 36(8): 263-269.
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