Smart Grid Time Series Big Data Processing System
With the development of critical theories and technologies in Internet of things (IOT),more and more attentions have been focused on the IOT applications.Smart Grid is one of the typical IOT applications on which a huge number of sensors have been deployed to gather and generate time series data to make sense of the running states of the key devices.How to apply these data to make Smart Grid running secure and stable is a hot research topic.By considering the fact that Smart Grid is characterized by a huge number of devices,a huge amount of data and the high speed data generating,this paper presents an approach to store and process time series big data in Smart Grid based on HBase.Based on the method above,we built a processing system for time series big data in Smart Grid.The emphasis is a policy-driven method to make the time series data organized on demand.We deploy the HBase cluster to verify effectiveness of our work.Finally,we conclude and outlook the future research directions.
big data smart grid policy-driven time-serial data performance optimization
Yuan Wang Jun Yuan Jun Yuan Jianguo Bao
HighSoon Research and Development Center China Realtime Database Co., Ltd, State Grid Electric Power Institute, Nanjing 210000, China
国际会议
重庆
英文
393-400
2015-12-19（万方平台首次上网日期，不代表论文的发表时间）