RORSE
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ALL-RUSSIA OPEN ANNUAL CONFERENCES ON

CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

Principal physics, methods and techniques for monitoring the environment, potentially dangerous phenomena and objects



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Information Technologies in Remote Sensing of the Earth - RORSE 2018

Proceedings of the 16th Conference (November 12-16, 2018, Moscow, Russia)

Organization of Functioning of the Space Monitoring System of Emercom of Russia Regarding Using Information Technologies of Distributed Storage and Multithreaded Data Processing to Improve Quality and Efficiency of Decision Making in Forecasting and Eliminating Emergency Situations

Yaroslav V. Alekseenko1,2

  1. Russian Agency for Disaster and Emergency Management, Moscow, Russia
    alex.zik@mail.ru
  2. Saint-Petersburg University of State Fire Service of EMERCOM of Russia, Saint-Petersburg, Russia
DOI 10.21046/rorse2018.335
Emercom of Russia actively applies results of remote sensing to ensuring protection of the population and territories from emergency situations. The observed growth of volume of the obtained data demands to provide guaranteed data storage and also to provide operational data processing. During the forecasting and emergency response the population, objects of economy and the environment need to take in the shortest possible time measures for prevention of loss of human life and causing material damage. It it can be reached only by reduction of time from the moment of detection of threat prior to holding necessary actions. For a solution of this problem in article the model of creation of a distributed file system and the distributed multithreaded data processing received by the System of space monitoring of Emercom of Russia is offered. The offered model allows to provide guaranteed data storage, to reduce time for data processing and also to provide flexible scaling of hardware.
Keywords: data processing, data storage, processing of space pictures, the distributed data storage, multithreaded processing, the system of space monitoring, Emercom of Russia
References:

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Section 6. Information systems for working with remote monitoring data

335-342