微服务应用系统迁移上云改造模型
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国网安徽省电力有限公司项目(SG-I6000)


Retrofit Model of Micro Service Application System Migrating to Cloud Platform
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对当前电网信息通信运维系统存在硬件平台超期服役,信息处理任务无法快速完成等问题,本文提出一种基于Spring Could框架的微服务应用系统迁移上云改造模型,将电网信息通信运维系统迁移至云平台,模型针对集中式系统迁移上云后转变为分布式系统后出现的管理问题,将系统服务全部迁入EDAS体系,实现一键部署、弹性伸缩、灰度发布以及故障自愈.此外,针对系统上云过程中数据量庞大的一致性校验问题,设计了一种基于吉布斯采样的数据一致性采样校验方法,提高了数据一致性校验的效率,减少了系统上云工作量.之后通过国网安徽电力SG-I6000微服务系统上云的实际案例,证明了系统的成功上云和可靠运行.

    Abstract:

    Aiming at the problems that the current power grid information communication operation and maintenance system has hardware platform out-of-date service and information processing tasks cannot be completed quickly, this study proposes a migration model of micro service application system based on Spring Could to the cloud. This model migrates the power grid information communication operation and maintenance system to a cloud platform. In response to the management problems that occurred after the centralized system was migrated to the cloud and transformed into a distributed system, all system services were moved into the EDAS system to achieve one-click deployment, elastic scaling, grayscale release, and fault self-healing. In addition, a data consistency sampling verification method based on Gibbs sampling is designed to solve the problem of consistency check of huge amount of data in the cloud process. This method improves the efficiency of data consistency verification and reduces the cloud workload on the system. Afterwards, this article proves the system’s successful cloud deployment and reliable operation through the actual case of the cloud of the State Grid Anhui Electric Power SG-I6000 microservice system.

    参考文献
    相似文献
    引证文献
引用本文

马永,李明,曹弯弯,张弛,王靓,李婕.微服务应用系统迁移上云改造模型.计算机系统应用,2020,29(10):127-132

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2020-03-10
  • 最后修改日期:2020-04-10
  • 录用日期:
  • 在线发布日期: 2020-09-30
  • 出版日期: 2020-10-15
文章二维码
您是第位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京海淀区中关村南四街4号 中科院软件园区 7号楼305房间,邮政编码:100190
电话:010-62661041 传真: Email:csa (a) iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号