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