Approach to Process Smart Grid Time-Serial Big Data Based on HBase

Authors

Wang Yuan, 1. China Realtime Database Co., Ltd, State Grid Electric Power Institute, Nanjing 210012, China;;
Tao Ye, 2. Department of Computer Science & Technology, Nanjing University, Nanjing 210046, China;
Yuan Jun, 1. China Realtime Database Co., Ltd, State Grid Electric Power Institute, Nanjing 210012, China;;
He Wei, 1. China Realtime Database Co., Ltd, State Grid Electric Power Institute, Nanjing 210012, China;;

Abstract

Abstract: 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-serial 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, an approach was proposed to store and process big time-serial data in smart grid based on the HBase. The emphasis is a policy-driven method to make the time-serial data organized in HBase on demand. The HBase cluster was deployed to verify effectiveness of the approach.

Recommended Citation

Yuan, Wang; Ye, Tao; Jun, Yuan; and Wei, He (2020) "Approach to Process Smart Grid Time-Serial Big Data Based on HBase," Journal of System Simulation: Vol. 28: Iss. 3, Article 8.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss3/8

First Page

559

Revised Date

2014-11-05

DOI Link

https://doi.org/

Last Page

568

CLC

TP274+.2

Recommended Citation

Wang Yuan, Tao Ye, Yuan Jun, He Wei. Approach to Process Smart Grid Time-Serial Big Data Based on HBase[J]. Journal of System Simulation, 2016, 28(3): 559-568.