CyberinfraV1, Main, Exploration, bibRecord, 001093

An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems

Identifieur interne : 001093 ( Main/Exploration ); précédent : 001092; suivant : 001094

An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems

Auteurs : Kumar Mahinthakumar [États-Unis] ; Gregor Von Laszewski [États-Unis] ; Ranji Ranjithan [États-Unis] ; Downey Brill [États-Unis] ; Jim Uber [États-Unis] ; Ken Harrison [États-Unis] ; Sarat Sreepathi [États-Unis] ; Emily Zechman [États-Unis]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.

RBID : ISTEX:40E34C45C4FF4959C5E89313B0AB63FFB5D18665

Descripteurs français

Pascal (Inist)
- Calcul réparti, Collecticiel, Contaminant, Echantillonnage, Gestion ressource eau, Haute performance, Intégration numérique, Machine parallèle, Modélisation, Méthode adaptative, Méthode domaine temps, Méthode optimisation, Panache, Plan échantillonnage, Synthèse commande, Système adaptatif, Système dynamique, Système modulaire, Système réparti, Système temps réel, Temps réel, Temps réponse, Traitement parallèle, Workflow, Zone urbaine.
Wicri :
- topic : Zone urbaine.

English descriptors

KwdEn :
- Adaptive method, Adaptive system, Contaminant, Control synthesis, Distributed computing, Distributed system, Dynamical system, Groupware, High performance, Modeling, Modular system, Numerical integration, Optimization method, Parallel machines, Parallel processing, Plume, Real time, Real time system, Response time, Sampling, Sampling design, Time domain method, Urban area, Water resource management, Workflow.

Abstract

Abstract: Threat management in drinking water distribution systems involves real-time characterization of any contaminant source and plume, design of control strategies, and design of incremental data sampling schedules. This requires dynamic integration of time-varying measurements along with analytical modules that include simulation models, adaptive sampling procedures, and optimization methods. These modules are compute-intensive, requiring multi-level parallel processing via computer clusters. Since real-time responses are critical, the computational needs must also be adaptively matched with available resources. This requires a software system to facilitate this integration via a high-performance computing architecture such that the measurement system, the analytical modules and the computing resources can mutually adapt and steer each other. This paper describes the development of such an adaptive cyberinfrastructure system facilitated by a dynamic workflow design.

Url:

https://api.istex.fr/document/40E34C45C4FF4959C5E89313B0AB63FFB5D18665/fulltext/pdf

DOI: 10.1007/11758532_54

Affiliations:

Le document en format XML

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<front><div type="abstract" xml:lang="en">Abstract: Threat management in drinking water distribution systems involves real-time characterization of any contaminant source and plume, design of control strategies, and design of incremental data sampling schedules. This requires dynamic integration of time-varying measurements along with analytical modules that include simulation models, adaptive sampling procedures, and optimization methods. These modules are compute-intensive, requiring multi-level parallel processing via computer clusters. Since real-time responses are critical, the computational needs must also be adaptively matched with available resources. This requires a software system to facilitate this integration via a high-performance computing architecture such that the measurement system, the analytical modules and the computing resources can mutually adapt and steer each other. This paper describes the development of such an adaptive cyberinfrastructure system facilitated by a dynamic workflow design.</div>
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An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems

An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems

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Descripteurs français

English descriptors

Abstract

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