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
Link To Document :
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