CyberinfraV1, PascalFrancis, Corpus, bibRecord, 000228

An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems

Identifieur interne : 000228 ( PascalFrancis/Corpus ); précédent : 000227; suivant : 000229

An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems

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

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2006.

RBID : Pascal:08-0051206

Descripteurs français

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

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

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 08-0051206 INIST
ET :	An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems
AU :	MAHINTHAKUMAR (Kumar); VON LASZEWSKI (Gregor); RANJITHAN (Ranji); BRILL (Downey); UBER (Jim); HARRISON (Ken); SREEPATHI (Sarat); ZECHMAN (Emily)
AF :	North Carolina State University/Raleigh, NC/Etats-Unis (1 aut., 3 aut., 4 aut., 7 aut., 8 aut.); University of Chicago/Chicago, IL/Etats-Unis (2 aut.); University of Cincinnati/Cincinnati, OH/Etats-Unis (5 aut.); University of South Carolina/Columbia, SC/Etats-Unis (6 aut.)
DT :	Publication en série; Congrès; Niveau analytique
SO :	Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 3991; Pp. 401-408; Bibl. 14 ref.
LA :	Anglais
EA :	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.
CC :	001D02B04; 001D02B07D; 001D02A05
FD :	Système temps réel; Synthèse commande; Calcul réparti; Haute performance; Système réparti; Traitement parallèle; Temps réel; Temps réponse; Système adaptatif; Système dynamique; Collecticiel; Workflow; Gestion ressource eau; Zone urbaine; Contaminant; Panache; Plan échantillonnage; Méthode adaptative; Intégration numérique; Méthode domaine temps; Modélisation; Echantillonnage; Méthode optimisation; Système modulaire; Machine parallèle
ED :	Real time system; Control synthesis; Distributed computing; High performance; Distributed system; Parallel processing; Real time; Response time; Adaptive system; Dynamical system; Groupware; Workflow; Water resource management; Urban area; Contaminant; Plume; Sampling design; Adaptive method; Numerical integration; Time domain method; Modeling; Sampling; Optimization method; Modular system; Parallel machines
SD :	Sistema tiempo real; Síntesis control; Cálculo repartido; Alto rendimiento; Sistema repartido; Tratamiento paralelo; Tiempo real; Tiempo respuesta; Sistema adaptativo; Sistema dinámico; Groupware; Workflow; Gestión recurso agua; Zona urbana; Contaminante; Penacho; Plan muestreo; Método adaptativo; Integración numérica; Método dominio tiempo; Modelización; Muestreo; Método optimización; Sistema modular
LO :	INIST-16343.354000172811803730
ID :	08-0051206

Links to Exploration step

Pascal:08-0051206

Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adaptive method</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Système temps réel</term>
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<term>Traitement parallèle</term>
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<term>Temps réponse</term>
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<front><div type="abstract" xml:lang="en">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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<server><NO>PASCAL 08-0051206 INIST</NO>
<ET>An Adaptive Cyberinfrastructure for Threat Management in Urban Water Distribution Systems</ET>
<AU>MAHINTHAKUMAR (Kumar); VON LASZEWSKI (Gregor); RANJITHAN (Ranji); BRILL (Downey); UBER (Jim); HARRISON (Ken); SREEPATHI (Sarat); ZECHMAN (Emily)</AU>
<AF>North Carolina State University/Raleigh, NC/Etats-Unis (1 aut., 3 aut., 4 aut., 7 aut., 8 aut.); University of Chicago/Chicago, IL/Etats-Unis (2 aut.); University of Cincinnati/Cincinnati, OH/Etats-Unis (5 aut.); University of South Carolina/Columbia, SC/Etats-Unis (6 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 3991; Pp. 401-408; Bibl. 14 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
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<ED>Real time system; Control synthesis; Distributed computing; High performance; Distributed system; Parallel processing; Real time; Response time; Adaptive system; Dynamical system; Groupware; Workflow; Water resource management; Urban area; Contaminant; Plume; Sampling design; Adaptive method; Numerical integration; Time domain method; Modeling; Sampling; Optimization method; Modular system; Parallel machines</ED>
<SD>Sistema tiempo real; Síntesis control; Cálculo repartido; Alto rendimiento; Sistema repartido; Tratamiento paralelo; Tiempo real; Tiempo respuesta; Sistema adaptativo; Sistema dinámico; Groupware; Workflow; Gestión recurso agua; Zona urbana; Contaminante; Penacho; Plan muestreo; Método adaptativo; Integración numérica; Método dominio tiempo; Modelización; Muestreo; Método optimización; Sistema modular</SD>
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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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