DocumentCode
28038
Title
DDDAS-Based Parallel Simulation of Threat Management for Urban Water Distribution Systems
Author
Lizhe Wang ; Dan Chen ; Wangyang Liu ; Yan Ma ; Yanhui Wu ; Ze Deng
Author_Institution
China Univ. of Geosci., Wuhan, China
Volume
16
Issue
1
fYear
2014
fDate
Jan.-Feb. 2014
Firstpage
8
Lastpage
17
Abstract
Contaminant source characterization (CSC) in a water distribution system (WDS) exhibits a computationally intensive problem. Traditional solutions to the CSC problem can´t fulfill the CSC´s quality-of-service (QoS) requirements. We present a parallel solution using the MapReduce paradigm in the cloud that can deliver a high-performance, fault-tolerant, and flexible solution.
Keywords
cloud computing; parallel programming; quality of service; water supply; CSC; DDDAS-based parallel simulation; MapReduce paradigm; QoS requirement; WDS; cloud computing; contaminant source characterization; dynamic data driven applications systems; quality-of-service requirement; threat management; urban water distribution systems; Cloud computing; Computational modeling; Contamination; Encoding; Genetic algorithms; Optimization; Hadoop; MapReduce; cloud computing; cyberinfrastructure; scientific computing;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2012.89
Filename
6253193
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