• 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