Title :
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
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;
Conference_Titel :
Green Computing and Communications (GreenCom), 2012 IEEE International Conference on
Conference_Location :
Besancon
Print_ISBN :
978-1-4673-5146-1
DOI :
10.1109/GreenCom.2012.18
