DocumentCode
1594843
Title
RDB-KV: A Cloud Database Framework for Managing Massive Heterogeneous Sensor Stream Data
Author
Ding, Zhiming ; Guo, Limin ; Yang, Qi
Author_Institution
Inst. of Software, Beijing, China
fYear
2012
Firstpage
653
Lastpage
656
Abstract
With the advances in sensor networks and in the Internet of Things, the data management problem for massive heterogeneous sensor data has become a hot research issue. It is obvious that a cloud data management framework for this purpose is greatly desirable. In this paper, we propose a Relational Data-Base and Key-Value store combined Cloud Data management ("RDB-KV CloudDB") framework for managing sensor data. The experimental results show that the RDB-KV CloudDB can provide satisfactory performances in large scale sensor-based systems.
Keywords
cloud computing; relational databases; Internet of Things; RDB-KV; cloud database management framework; data management problem; massive heterogeneous sensor stream data; relational database and key-value; sensor networks; Cloud computing; Keyword search; Monitoring; Query processing; Spatial databases; Cloud Database; Massive Data Processing; Sensor Data Management; Spatial-Temporal Data;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4577-2120-5
Type
conf
DOI
10.1109/ISdea.2012.410
Filename
6173291
Link To Document