Cloud Database Service Approach to the Management of Sensor DataCloud Database Service Approach to the Management of Sensor Data

Zhenguo Cui(quejinkook@gmail.com)Cyber-Infrastructure Research Lab

Konkuk University

Env / Eco Study

Phenomenon Data Knowledge

Sensor?

Cloud Computing

Cloud Computing Services

Env / Eco Study

Phenomenon Data Knowledge

SensorGoogle App Engine

Web Application

Prototype Implementation

• Domain: Lake• Property: Water Quality• Site: Soyang Lake. Korea• Data Model: similar to gleon-vega

Prototype Interface

http://gaebasedkleon.appspot.com

Management Page(Google)

http://appengine.google.com

ConclusionProblem: The management of monitoring data in scientific domains raises two challenging issues to domain scientists: •Develop their own data management systems for their applications•Maintain those systems on their own.

Technique: Cloud Computing

Solution:We purposed a Cloud Database Service built on PaaS (Platform as a Service)

Conclusion

Pros• Lower cost• Easy to build/run web-

application in global scale• No need to worry about

system environment maintenance

• Access to the system anytime, anywhere via any device with web browser capability.

Cons• Network is required• Platform dependent• Restrictions• Performance may lower

than local system.• Data Security.