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
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