DocumentCode
1689803
Title
A Disaster-Recovery IT Framework Based on Disaster Indexing Measurement Mechanism in E-Government
Author
Wu, Zhenhua ; Ni, Yong
Author_Institution
China Dev. Lab., IBM, Beijing, China
fYear
2009
Firstpage
87
Lastpage
90
Abstract
Recently, the frequency of natural disasters is increasing sharply, especially the seismic activities which have been reached to a new peak, such as WenChuan earthquake in China, LpsilaAquila earthquake in Italy. The disasters not only cause immeasurable casualties and infrastructures damage, but information and data losses, which will bring big troubles to the post-disaster reconstruction projects, since the re-collect work will be time-consuming and need unpredictable efforts. In this paper, a new disaster-recovery IT framework is proposed. The framework is combined with P2M (point to multi-points) and P2P (point to point) to form a hierarchical IT infrastructure distributed in different geographic location. It ensures the high availability for the data through the DIMM (disaster indexing measurement mechanism), which uses a scheduling model for the data backup and synchronization locally and remotely, based on the hierarchical infrastructure. Once the disaster happens, the framework can quickly regain the lost data in the area from its hierarchical structure, meanwhile the DIMM guarantees to maintain the data with high availability and avoid data losses.
Keywords
Internet; disasters; government data processing; disaster indexing measurement mechanism; disaster-recovery IT framework; e-government; hierarchical IT infrastructure; natural disasters; scheduling model; Availability; Conference management; Disaster management; Earthquakes; Electronic government; Hazards; Humans; Indexing; Risk management; Seismic measurements; Disaster Index Measurement; Disaster Recovery; E-Government; Hierrarchical Framwork;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government, 2009. ICMECG '09. International Conference on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3778-8
Type
conf
DOI
10.1109/ICMeCG.2009.110
Filename
5279864
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