• DocumentCode
    2308230
  • Title

    Environmental and disaster sensing using cloud computing infrastructure

  • Author

    Suakanto, Sinung ; Supangkat, Suhono H. ; Suhardi ; Saragih, Roberd ; Nugroho, Tunggul Arief ; Nugraha, I. Gusti Bagus Baskara

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Inst. Teknol. Bandung, Bandung, Indonesia
  • fYear
    2012
  • fDate
    26-27 April 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The remote monitoring system is growing very rapidly due to the growth of supporting technologies as well. Problem that may occur in remote monitoring such as the number of objects to be monitored and how fast, how much data to be transmitted to the data center to be processed properly. This study proposes using a cloud computing infrastructure as processing center in the remote sensing data. This study focuses on the situation for sensing on the environment condition and disaster early detection. Where those two things, it has become an important issue, especially in big cities big cities that have many residents. This study proposes to build the conceptual and also prototype model in a comprehensive manner from the remote terminal unit until development method for data retrieval. We also propose using FTR-HTTP method to guarantee the delivery from remote client to server.
  • Keywords
    cloud computing; computer centres; disasters; emergency services; remote sensing; FTR-HTTP method; cloud computing infrastructure; data center; data retrieval; disaster sensing; environmental sensing; remote client; remote monitoring system; remote sensing data; remote terminal unit; server; Cities and towns; Cloud computing; Computer architecture; Monitoring; Sensors; Servers; Virtual machining; cloud computing; disaster; environment; online; remote monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Social Networking (ICCCSN), 2012 International Conference on
  • Conference_Location
    Bandung, West Java
  • Print_ISBN
    978-1-4673-1815-0
  • Type

    conf

  • DOI
    10.1109/ICCCSN.2012.6215712
  • Filename
    6215712