Enabling cloud computing in emergency management systems

Qiu, Meikang, Ming, Zhong, Wang, Jihe, Yang, Laurence T. and Xiang, Yang 2014, Enabling cloud computing in emergency management systems, IEEE cloud computing, vol. 1, no. 4, pp. 60-67, doi: 10.1109/MCC.2014.71.

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Title Enabling cloud computing in emergency management systems
Author(s) Qiu, Meikang
Ming, Zhong
Wang, Jihe
Yang, Laurence T.
Xiang, Yang
Journal name IEEE cloud computing
Volume number 1
Issue number 4
Start page 60
End page 67
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2014-11
ISSN 2325-6095
Keyword(s) 3D evacuation
cloud computing
data analytics
emergency management
sensor array
smartphones.
Summary 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.
Language eng
DOI 10.1109/MCC.2014.71
Field of Research 080303 Computer System Security
Socio Economic Objective 890202 Application Tools and System Utilities
HERDC Research category C2 Other contribution to refereed journal
ERA Research output type C Journal article
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072802

Document type: Journal Article
Collection: School of Information Technology
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