Title :
Extending sensor networks into the Cloud using Amazon Web Services
Author :
Lee, Kevin ; Murray, David ; Hughes, Danny ; Joosen, Wouter
Author_Institution :
Sch. of Inf. Technol., Murdoch Univ., Murdoch, WA, Australia
Abstract :
Sensor networks provide a method of collecting environmental data for use in a variety of distributed applications. However, to date, limited support has been provided for the development of integrated environmental monitoring and modeling applications. Specifically, environmental dynamism makes it difficult to provide computational resources that are sufficient to deal with changing environmental conditions. This paper argues that the Cloud Computing model is a good fit with the dynamic computational requirements of environmental monitoring and modeling. We demonstrate that Amazon EC2 can meet the dynamic computational needs of environmental applications. We also demonstrate that EC2 can be integrated with existing sensor network technologies to offer an end-to-end environmental monitoring and modeling solution.
Keywords :
Web services; cloud computing; data acquisition; wireless sensor networks; Amazon EC2; Amazon Web services; cloud computing; computational resources; data collection; dynamic computational requirements; environmental monitoring; sensor networks; Cloud computing; Clouds; Computational modeling; Elasticity; Monitoring; Sensors; Wireless sensor networks;
Conference_Titel :
Networked Embedded Systems for Enterprise Applications (NESEA), 2010 IEEE International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4244-9178-0
Electronic_ISBN :
978-1-4244-9176-6
DOI :
10.1109/NESEA.2010.5678063