DocumentCode :
1894684
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
fYear :
2010
fDate :
25-26 Nov. 2010
Firstpage :
1
Lastpage :
7
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;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/NESEA.2010.5678063
Filename :
5678063
Link To Document :
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