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.

Key words: Big data, Internet of things, HBase, Time-serial data, performance optimization