A Storage Solution for Massive IoT Data Based on NoSQL

Author

Tingli Li ; Yang Liu ; Ye Tian ; Shuo Shen ; Wei Mao

Author_Institution

Comput. Network Inf. Center, Beijing, China

fYear

2012

fDate

20-23 Nov. 2012

Firstpage

50

Lastpage

57

Abstract

Storage is an important research direction of the data management of the Internet of Things. Massive and heterogeneous data of the Internet of Things brings the storage huge challenges. Based on the analysis of the IoT data characteristics, this paper proposed a storage management solution called IOTMDB based on NoSQL as current storage solutions are not well support storing massive and heterogeneous IoT data. Besides, the storage strategies about expressing and organizing IoT data in a uniform manner were proposed, some evaluations were carried out. Furthermore, we not only just concerned about descripting the data itself, but also cared for sharing of the data, so a data sharing mechanism based on ontology was proposed. Finally, index was studied and a set of query syntaxes to meet the needs of different kinds of IoT queries based NoSQL was given.

Keywords

Internet of Things; SQL; data analysis; ontologies (artificial intelligence); storage management; IOTMDB solution; Internet of Things; IoT data analysis; NoSQL; Not Only Structured Query Language; data descripting; data expression; data organization; data sharing; heterogeneous IoT data; massive IoT data; ontology; query syntax; storage management solution; Computer architecture; Databases; Internet; Multimedia communication; Standards; Temperature sensors; Internet of Things; NoSQL; data storage; heterogeneous data; massive data;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing and Communications (GreenCom), 2012 IEEE International Conference on

Conference_Location

Besancon

Print_ISBN

978-1-4673-5146-1

Type

conf

DOI

10.1109/GreenCom.2012.18

Filename

6468294