摘要
以流数据为核心主线,通过研究相关系列的流处理技术,如流采集、流存储、流计算及流安全等,形成一套先进的分布式流数据处理体系。通过引用自适应编码、时分复用及效用均值等先进技术,提升系统的处理效率和预测精准度。面对未来广而大的电网应用场景,能够从容面对庞大数据流的冲击,并且在复杂的多源异构的数据业务接入时,能够协同处理和精准计算,为未来电网顺利融合发展提供数据安稳传输的可靠保障。
Taking stream data as the core line,a series of advanced distributed stream data processing systems are formed by studying a series of related stream processing technologies such as stream collection,stream storage,stream calculation,and stream securi,ty.By introducing concepts such as adaptive coding,time division multiplexing,and utility average,the processing efficiency and predictive accuracy of the system are improved.In the face of the large and wide grid application scenarios in the future,it is able to face the impact of huge data flows with ease;and in the face of complex multi-source heterogeneous data services,it can be processed collaboratively and accurately,providing reliable protection for secure data transmission of future smooth integration and development of the power grid.
作者
相坤
杨建设
XIANG Kun;YANG Jianshe(Information Communication Branch,State Grid Jiangxi Electric Power Co.,Ltd.,Nanchang Jiangxi 100761,China;Beijing Zhonghua Puhua Information Technology Co.,Ltd.,Beijing 100192,China)
出处
《计算机与网络》
2018年第23期68-71,共4页
Computer & Network
关键词
多源异构
大数据
分布式流
multi-source heterogeneous
big data
distributed flow
