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作 者:朱妮[1] ZHU Ni(Shaanxi Institute of International Trade&Commerce,Xianyang 712000,Shaanxi Province,China)
出 处:《信息技术》2024年第1期134-140,共7页Information Technology
摘 要:为了提升电力营销大数据处理和调度效率,设计大数据背景下的电力营销信息管理平台。基于Hadoop和MapReduce设计平台存储和技术框架,利用大数据技术划分电力营销大数据,实现电力营销信息状态安全分析和监控;采用云计算技术分析和处理电力营销数据。测试结果显示,所设计平台的大数据处理吞吐量较高、大数据处理加速比稳定;数据调度计算效率较高、性能稳定;将电力营销数据以对象形式缓存到内存中时,执行时间较短、耗费内存较小。该平台具备较好的数据处理及调度能力。In order to improve the efficiency of the big data processing and dispatching in power marketing,a power marketing information management platform under the background of big data is designed.The storage platform and technical framework based on Hadoop and MapReduce is designed and the big data technology is used to divide power marketing big data to realize power marketing information state security analysis and monitoring.Then,cloud computing technology is adopted to analyze and process power marketing data.The test results show that the big data processing throughput of the designed platform is high and the acceleration ratio of big data processing is stable.Besides,data scheduling has high efficiency and stable performance.When the power marketing data is cached into memory in the form of object,the execution time is short and the memory consumption is the least.All in all,the platform has good data processing and scheduling capabilities.
分 类 号:TM734[电气工程—电力系统及自动化]
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