浙江电力

2017, v.36;No.251(03) 75-80

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基于大数据技术的实时数据中心重构研究
Research on Real-time Data Center Reconstruction Technology Based on Big Data

李贤慧,季胜鹏,周升,陈军,楼平
LI Xianhui,JI Shengpeng,ZHOU Sheng,CHEN Jun,LOU Ping

摘要(Abstract):

提出了一种基于大数据技术的电网企业实时数据中心重构的方法。通过对实时数据中心数据接入接口的改造,实现实时数据接入大数据组件HBase;通过对HBase表结构设计及相关参数的调优,实现电网企业实时数据的标准化存储;通过基于大数据组件设计符合实时数据中心规范的标准访问接口UAPI,实现实时数据中心上层业务应用的迁移和平滑过渡。该方法的可行性已在多个省(市)电力公司得到验证。
This paper presents a new method for the reconstruction of the real time data center of power grid enterprises based on big data technology. Through data interface transformation of real-time data center, realtime data can have access to HBase; By optimization of HBase table structure design and parameters, realtime data storage standardization of grid enterprises is implemented; via big data based standard access interface UAPI with its component design complying with norms of real-time data center, upper-level services of real-time data center can be migrated and smoothly transited. This method is verified in many province(prefecture) level electric power companies.

关键词(KeyWords): 实时数据中心;大数据技术;HBase;实时数据管理;数据接入;重构
real-time data center;big data technology;HBase;real-time data management;data access;reconstruction

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 李贤慧,季胜鹏,周升,陈军,楼平
LI Xianhui,JI Shengpeng,ZHOU Sheng,CHEN Jun,LOU Ping

DOI: 10.19585/j.zjdl.2017.03.018

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