Secure Data Migration of Data Center during Disaster using Disaster Monitoring in Cloud Computing

IJCSEC Front Page

Abstract:
The remote monitoring system is growing very rapidly due to the growth of supporting technologies as well. And also 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 focuses on the situation for sensing on the environment condition and disaster early detection. Sensors are used to predict the disaster situations. Data are automatically get change over based on sensor information. 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 then prototype model in a comprehensive manner from the remote terminal till development method for data retrieval. We also propose using FTR-HTTP method to guarantee the delivery from remote client to server.

Keywords: Cloud, hardware, software, Data, TPA.

References:

  1. J. Xie, W. Yu, G. Li, An inter-agency collaborative computing framework for fast flood mapping using distributed remote sensing data. Fifth International Conference on Agro-Geoinformatics. 2016.
  2. A. Kotsev, F. Pantisano, S. Schade, S. Jirka, Architecture of a Service-Enabled Sensing Platform for the Environment. Sensors, 15 (2015),4470-4495.
  3. G. Stancalie, V. Craciunescu, A. Irimescu, et aI, Development of Downstream Emergency Response Service for Disaster Hazard Management Based on Earth Observation Data, AgroLife Scientific Journal,5 (I), 199-208,2016.
  4. Y. Ding, Y. Fan, Z. Du, et aI, An integrated geospatial information service system for disaster management in China, International Journal of Digital Earth, 2014, 8(11), 918-945.
  5. C. H. Yang, U. Soergel, Ch. Lanaras, E. Baltsavias, K. Cho, F. Remondino, H. Wakabayashi, Rapid Disaster Analysis based on Remote Sensing: A Case Study about the Tohoku Tsunami Disaster 2011, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7, 2014.
  6. M. Karamouz, Z. Zahmatkesh, T. Saad, Cloud Computing in Urban Flood Disaster Management, World Environmental and Water Resources Congress, 2013.