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 :
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