An Efficient Data Storage Method of NoSQL Database for HEM Mobile Applications in IoT

Author

Wei-Chen Chen ; Chao-Lin Wu ; Ya-Hung Chen ; Li-Chen Fu

Author_Institution

Intel-NTU Connected Context Comput. Center, Nat. Taiwan Univ., Taipei, Taiwan

fYear

2014

Firstpage

336

Lastpage

339

Abstract

In this work, an efficient data storage method of NoSQL database is proposed for mobile devices and Internet applications to monitor appliance status in a home environment in real-time, and a home energy management (HEM) mobile App for monitoring this information is also developed. An HBase cluster is constructed as a test bed for evaluation. The evaluation is conducted based on the developed APP accessing data stored by the proposed method, and it shows promising efficiency. This App together with the proposed method can help users better aware of the details of their home energy usage, and can even help other remote software agents/applications to deliver further useful applications, e.g. Large scale monitoring on demand response.

Keywords

Internet of Things; SQL; graphical user interfaces; home automation; mobile agents; mobile computing; relational databases; APP accessing data Storage; HBase cluster; HEM mobile App; HEM mobile application; IoT; NoSQL database; home energy management; home energy usage; remote software agent; Databases; Electricity; Home appliances; Mobile communication; Monitoring; Smart phones; HBase; IoT applications; NoSQL database; smart phones;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE

Print_ISBN

978-1-4799-5967-9

Type

conf

DOI

10.1109/iThings.2014.62

Filename

7059687