Conference paper
Extending sensor networks into the Cloud using Amazon Web Services
2010 IEEE International Conference on Networked Embedded Systems for Enterprise Applications, pp.1-7
IEEE
IEEE International Conference on Networked Embedded Systems for Enterprise Applications (Suzhou, China, 25/11/2010–26/11/2010)
2010
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.
Details
- Title
- Extending sensor networks into the Cloud using Amazon Web Services
- Authors/Creators
- K. Lee (Author/Creator)D. Murray (Author/Creator)D. Hughes (Author/Creator)W. Joosen (Author/Creator)
- Publication Details
- 2010 IEEE International Conference on Networked Embedded Systems for Enterprise Applications, pp.1-7
- Conference
- IEEE International Conference on Networked Embedded Systems for Enterprise Applications (Suzhou, China, 25/11/2010–26/11/2010)
- Publisher
- IEEE
- Identifiers
- 991005543426607891
- Copyright
- © 2010 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This paper appears in: 1st IEEE International Conference on Networked Embedded Systems for Enterprise Applications, NESEA 2010; Suzhou; 25 November 2010 through 26 November 2010; Category number CFP10NEE-ART; Code 83779
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