DocumentCode
611089
Title
A Development and Execution Environment for Early Warning Systems for Natural Disasters
Author
Balis, Bartosz ; Bartynski, T. ; Bubak, M. ; Dyk, G. ; Gubala, T. ; Kasztelnik, M.
Author_Institution
Dept. of Comput. Sci., AGH Univ. of Sci. & Technol., Krakow, Poland
fYear
2013
fDate
13-16 May 2013
Firstpage
575
Lastpage
582
Abstract
Early Warning Systems (EWS) may become a powerful tool for mitigating the negative impact of natural disasters, especially when combined with advanced IT solutions - such as on-demand scenario simulations, semi-automatic impact assessment, or real-time analysis of measurements from in-situ sensors. However, such complex systems require a proper computing environment supporting their development and operation. We propose the Common Information Space (CIS), a software framework facilitating design, deployment and execution of early warning systems based on real-time monitoring of natural phenomena and computationally intensive, time-critical computations. CIS provides a service-oriented technology stack which helps design ´blueprints´ for early warning application scenarios and deploy these blueprints as services - system factories enabling users to rapidly deploy new EWSs in new settings. CIS also provides advanced runtime services and resource orchestration capabilities in order to address the specific requirements of EWSs: continuous operation, highly variable resource demands and mission-critical computations. The CIS concept is validated through the Flood Early Warning System whose goal is to monitor embankments in urban areas and assist in rapid decision making whenever a dike failure results in a flooding threat.
Keywords
alarm systems; decision making; disasters; emergency management; floods; CIS; EWS; IT solution; common information space; decision making; dike failure; execution environment; flood early warning system; flooding threat; in-situ sensor; natural disaster; natural phenomena; on-demand scenario simulation; real-time monitoring; resource orchestration capability; semiautomatic impact assessment; service-oriented technology stack; software framework; Alarm systems; Computational modeling; Home appliances; Mission critical systems; Monitoring; Sensors; Virtual machining; common information space; early warning system; flood monitoring; in-situ sensors; service-oriented computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on
Conference_Location
Delft
Print_ISBN
978-1-4673-6465-2
Type
conf
DOI
10.1109/CCGrid.2013.101
Filename
6546141
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