摘要
为提高省级电能计量自动化系统海量数据的计算效率,提出分布式并行处理的方法和模型,通过对电能计量自动化系统的分析、业务数据处理流程的梳理,设计开发了海量数据处理平台。在海量数据处理平台和传统的存储过程平台上对实际运行数据进行测试对比,结果表明所设计的海量数据处理平台能有效地解决海量数据存储方式、海量数据吞吐、容错能力和高效计算处理等方面的问题。
For improving computing efficiency of massive data of provincial electric energy metering automation system,this paper proposes distributed parallel processing method and model.By analyzing electric energy metering automation system and carding business data processing flow,it designs a massive data processing platform.On the massive data processing platform and traditional storage platform,it tests and compares operational data and the result indicates that the designed massive data processing platform is effective to solve organization way for massive data storage,massive data throughout,capacity of fault tolerance and high effective computing and processing.
出处
《广东电力》
2014年第4期82-85,共4页
Guangdong Electric Power
关键词
电能计量自动化系统
海量数据
分布式并行计算
electric energy metering automation system
massive data
distributed parallel computing
