DocumentCode :
743772
Title :
Enabling Cloud Computing in Emergency Management Systems
Author :
Meikang Qiu ; Zhong Ming ; Jihe Wang ; Yang, Laurence T. ; Yang Xiang
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
1
Issue :
4
fYear :
2014
Firstpage :
60
Lastpage :
67
Abstract :
Emergencies, including both natural and man-made disasters, increasingly pose an immediate threat to life, health, property, and environment. For example, Hurricane Katrina, the deadliest and most destructive Atlantic tropical cyclone of the 2005 Atlantic hurricane season, led to at least 1,883 people´s death and an estimated loss of -108 billion property. To reduce the damage by emergencies, a wide range of cutting-edge technologies on medicine and information are used in all phases of emergency management. This article proposes a cloud-based emergency management system for environmental and structural monitoring that utilizes the powerful computing and storage capability of datacenters to analyze the mass data collected by the wireless intelligent sensor network deployed in civil environment. The system also benefits from smartphone and social network platform to setup the spatial and population models, which enables faster evacuation and better resource allocation.
Keywords :
cloud computing; emergency management; Atlantic hurricane season; civil environment; cloud based emergency management system; destructive Atlantic tropical cyclone; emergency management systems; enabling cloud computing; environmental monitoring; man-made disasters; natural disasters; population models; resource allocation; smartphone platform; social network platform; spatial models; structural monitoring; wireless intelligent sensor network; Cloud computing; Data analysis; Emergency services; Mobile communication; Sensor arrays; Sensor phenomena and characterization; Smart phones; Three-dimensional displays; 3D evacuation; cloud computing; data analytics; emergency management; sensor array; smartphones.;
fLanguage :
English
Journal_Title :
Cloud Computing, IEEE
Publisher :
ieee
ISSN :
2325-6095
Type :
jour
DOI :
10.1109/MCC.2014.71
Filename :
7057594
Link To Document :
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