CyberinfraV1, PascalFrancis, Corpus, bibRecord, 000227

A Three Tier Architecture for LiDAR Interpolation and Analysis

Identifieur interne : 000227 ( PascalFrancis/Corpus ); précédent : 000226; suivant : 000228

A Three Tier Architecture for LiDAR Interpolation and Analysis

Auteurs : Efrat Jaeger-Frank ; Christopher J. Crosby ; Ashraf Memon ; Viswanath Nandigam ; J. Ramon Arrowsmith ; Jeffery Conner ; Ilkay Altintas ; Chaitan Baru

Source :

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

RBID : Pascal:08-0051275

Descripteurs français

Pascal (Inist)
- Système réparti, Base donnée très grande, Allocation ressource, Calcul réparti, Grille, Haute performance, Collecticiel, Workflow, Analyse donnée, Processeur pipeline, Radar optique, Evaluation performance.

English descriptors

KwdEn :
- Data analysis, Distributed computing, Distributed system, Grid, Groupware, High performance, Lidar, Performance evaluation, Pipeline processor, Resource allocation, Very large databases, Workflow.

Abstract

Emerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide a modularized and configurable environment for accessing Grid clusters and executing high performance computational tasks. In addition, it is beneficial to make these tools available to the community in a unified framework through a shared cyberinfrastructure, or a portal, so scientists can focus on their scientific work and not be concerned with the implementation of the underlying infrastructure. In this paper we describe a scientific workflow approach to coordinate various resources as data analysis pipelines. We present a three tier architecture for LiDAR. interpolation and analysis, a high performance processing of point intensive datasets, utilizing a portal, a scientific workflow engine and Grid technologies. Our proposed solution is available through the GEON portal and, though focused on LiDAR processing, is applicable to other domains as well.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0302-9743`
A05				`@2 3991`
A08	`01`	`1`	`ENG`	`@1 A Three Tier Architecture for LiDAR Interpolation and Analysis`
A09	`01`	`1`	`ENG`	`@1 Computational science. Part I-IV : ICCS 2006 : 6th international conference, Reading, UK, May 28-31, 2006 : proceedings`
A11	`01`	`1`		`@1 JAEGER-FRANK (Efrat)`
A11	`02`	`1`		`@1 CROSBY (Christopher J.)`
A11	`03`	`1`		`@1 MEMON (Ashraf)`
A11	`04`	`1`		`@1 NANDIGAM (Viswanath)`
A11	`05`	`1`		`@1 ARROWSMITH (J. Ramon)`
A11	`06`	`1`		`@1 CONNER (Jeffery)`
A11	`07`	`1`		`@1 ALTINTAS (Ilkay)`
A11	`08`	`1`		`@1 BARU (Chaitan)`
A14	`01`			`@1 San Diego Supercomputer Center, University of California, Sail Diego, 9500 Gilman Drive @2 La Jolla, CA 92093 @3 USA @Z 1 aut. @Z 3 aut. @Z 4 aut. @Z 7 aut. @Z 8 aut.`
A14	`02`			`@1 Department of Geological Sciences, Arizona State University @2 Tempe, AZ 85281 @3 USA @Z 2 aut. @Z 5 aut. @Z 6 aut.`
A20				`@1 920-927`
A21				`@1 2006`
A23	`01`			`@0 ENG`
A26	`01`			`@0 3-540-34379-2`
A43	`01`			`@1 INIST @2 16343 @5 354000172811804420`
A44				`@0 0000 @1 © 2008 INIST-CNRS. All rights reserved.`
A45				`@0 9 ref.`
A47	`01`	`1`		`@0 08-0051275`
A60				`@1 P @2 C`
A61				`@0 A`
A64	`01`	`1`		`@0 Lecture notes in computer science`
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C01	`01`		`ENG`	@0 Emerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide a modularized and configurable environment for accessing Grid clusters and executing high performance computational tasks. In addition, it is beneficial to make these tools available to the community in a unified framework through a shared cyberinfrastructure, or a portal, so scientists can focus on their scientific work and not be concerned with the implementation of the underlying infrastructure. In this paper we describe a scientific workflow approach to coordinate various resources as data analysis pipelines. We present a three tier architecture for LiDAR. interpolation and analysis, a high performance processing of point intensive datasets, utilizing a portal, a scientific workflow engine and Grid technologies. Our proposed solution is available through the GEON portal and, though focused on LiDAR processing, is applicable to other domains as well.
C02	`01`	`X`		`@0 001D02B04`
C02	`02`	`X`		`@0 001D02B07D`
C02	`03`	`X`		`@0 001D02A05`
C03	`01`	`X`	`FRE`	`@0 Système réparti @5 06`
C03	`01`	`X`	`ENG`	`@0 Distributed system @5 06`
C03	`01`	`X`	`SPA`	`@0 Sistema repartido @5 06`
C03	`02`	`3`	`FRE`	`@0 Base donnée très grande @5 07`
C03	`02`	`3`	`ENG`	`@0 Very large databases @5 07`
C03	`03`	`X`	`FRE`	`@0 Allocation ressource @5 08`
C03	`03`	`X`	`ENG`	`@0 Resource allocation @5 08`
C03	`03`	`X`	`SPA`	`@0 Asignación recurso @5 08`
C03	`04`	`X`	`FRE`	`@0 Calcul réparti @5 09`
C03	`04`	`X`	`ENG`	`@0 Distributed computing @5 09`
C03	`04`	`X`	`SPA`	`@0 Cálculo repartido @5 09`
C03	`05`	`X`	`FRE`	`@0 Grille @5 10`
C03	`05`	`X`	`ENG`	`@0 Grid @5 10`
C03	`05`	`X`	`SPA`	`@0 Rejilla @5 10`
C03	`06`	`X`	`FRE`	`@0 Haute performance @5 11`
C03	`06`	`X`	`ENG`	`@0 High performance @5 11`
C03	`06`	`X`	`SPA`	`@0 Alto rendimiento @5 11`
C03	`07`	`X`	`FRE`	`@0 Collecticiel @5 12`
C03	`07`	`X`	`ENG`	`@0 Groupware @5 12`
C03	`07`	`X`	`SPA`	`@0 Groupware @5 12`
C03	`08`	`X`	`FRE`	`@0 Workflow @5 13`
C03	`08`	`X`	`ENG`	`@0 Workflow @5 13`
C03	`08`	`X`	`SPA`	`@0 Workflow @5 13`
C03	`09`	`X`	`FRE`	`@0 Analyse donnée @5 14`
C03	`09`	`X`	`ENG`	`@0 Data analysis @5 14`
C03	`09`	`X`	`SPA`	`@0 Análisis datos @5 14`
C03	`10`	`X`	`FRE`	`@0 Processeur pipeline @5 15`
C03	`10`	`X`	`ENG`	`@0 Pipeline processor @5 15`
C03	`10`	`X`	`SPA`	`@0 Procesador oleoducto @5 15`
C03	`11`	`X`	`FRE`	`@0 Radar optique @5 18`
C03	`11`	`X`	`ENG`	`@0 Lidar @5 18`
C03	`11`	`X`	`SPA`	`@0 Radar óptico @5 18`
C03	`12`	`X`	`FRE`	`@0 Evaluation performance @5 19`
C03	`12`	`X`	`ENG`	`@0 Performance evaluation @5 19`
C03	`12`	`X`	`SPA`	`@0 Evaluación prestación @5 19`
N21				`@1 028`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

A30	`01`	`1`	`ENG`	`@1 IInternational Conference on Computational Science @2 6 @3 Reading GBR @4 2006`

Format Inist (serveur)

NO :	PASCAL 08-0051275 INIST
ET :	A Three Tier Architecture for LiDAR Interpolation and Analysis
AU :	JAEGER-FRANK (Efrat); CROSBY (Christopher J.); MEMON (Ashraf); NANDIGAM (Viswanath); ARROWSMITH (J. Ramon); CONNER (Jeffery); ALTINTAS (Ilkay); BARU (Chaitan)
AF :	San Diego Supercomputer Center, University of California, Sail Diego, 9500 Gilman Drive/La Jolla, CA 92093/Etats-Unis (1 aut., 3 aut., 4 aut., 7 aut., 8 aut.); Department of Geological Sciences, Arizona State University/Tempe, AZ 85281/Etats-Unis (2 aut., 5 aut., 6 aut.)
DT :	Publication en série; Congrès; Niveau analytique
SO :	Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 3991; Pp. 920-927; Bibl. 9 ref.
LA :	Anglais
EA :	Emerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide a modularized and configurable environment for accessing Grid clusters and executing high performance computational tasks. In addition, it is beneficial to make these tools available to the community in a unified framework through a shared cyberinfrastructure, or a portal, so scientists can focus on their scientific work and not be concerned with the implementation of the underlying infrastructure. In this paper we describe a scientific workflow approach to coordinate various resources as data analysis pipelines. We present a three tier architecture for LiDAR. interpolation and analysis, a high performance processing of point intensive datasets, utilizing a portal, a scientific workflow engine and Grid technologies. Our proposed solution is available through the GEON portal and, though focused on LiDAR processing, is applicable to other domains as well.
CC :	001D02B04; 001D02B07D; 001D02A05
FD :	Système réparti; Base donnée très grande; Allocation ressource; Calcul réparti; Grille; Haute performance; Collecticiel; Workflow; Analyse donnée; Processeur pipeline; Radar optique; Evaluation performance
ED :	Distributed system; Very large databases; Resource allocation; Distributed computing; Grid; High performance; Groupware; Workflow; Data analysis; Pipeline processor; Lidar; Performance evaluation
SD :	Sistema repartido; Asignación recurso; Cálculo repartido; Rejilla; Alto rendimiento; Groupware; Workflow; Análisis datos; Procesador oleoducto; Radar óptico; Evaluación prestación
LO :	INIST-16343.354000172811804420
ID :	08-0051275

Links to Exploration step

Pascal:08-0051275

Le document en format XML

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<front><div type="abstract" xml:lang="en">Emerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide a modularized and configurable environment for accessing Grid clusters and executing high performance computational tasks. In addition, it is beneficial to make these tools available to the community in a unified framework through a shared cyberinfrastructure, or a portal, so scientists can focus on their scientific work and not be concerned with the implementation of the underlying infrastructure. In this paper we describe a scientific workflow approach to coordinate various resources as data analysis pipelines. We present a three tier architecture for LiDAR. interpolation and analysis, a high performance processing of point intensive datasets, utilizing a portal, a scientific workflow engine and Grid technologies. Our proposed solution is available through the GEON portal and, though focused on LiDAR processing, is applicable to other domains as well.</div>
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<fA08 i1="01" i2="1" l="ENG"><s1>A Three Tier Architecture for LiDAR Interpolation and Analysis</s1>
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<fA11 i1="07" i2="1"><s1>ALTINTAS (Ilkay)</s1>
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<server><NO>PASCAL 08-0051275 INIST</NO>
<ET>A Three Tier Architecture for LiDAR Interpolation and Analysis</ET>
<AU>JAEGER-FRANK (Efrat); CROSBY (Christopher J.); MEMON (Ashraf); NANDIGAM (Viswanath); ARROWSMITH (J. Ramon); CONNER (Jeffery); ALTINTAS (Ilkay); BARU (Chaitan)</AU>
<AF>San Diego Supercomputer Center, University of California, Sail Diego, 9500 Gilman Drive/La Jolla, CA 92093/Etats-Unis (1 aut., 3 aut., 4 aut., 7 aut., 8 aut.); Department of Geological Sciences, Arizona State University/Tempe, AZ 85281/Etats-Unis (2 aut., 5 aut., 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. 920-927; Bibl. 9 ref.</SO>
<LA>Anglais</LA>
<EA>Emerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide a modularized and configurable environment for accessing Grid clusters and executing high performance computational tasks. In addition, it is beneficial to make these tools available to the community in a unified framework through a shared cyberinfrastructure, or a portal, so scientists can focus on their scientific work and not be concerned with the implementation of the underlying infrastructure. In this paper we describe a scientific workflow approach to coordinate various resources as data analysis pipelines. We present a three tier architecture for LiDAR. interpolation and analysis, a high performance processing of point intensive datasets, utilizing a portal, a scientific workflow engine and Grid technologies. Our proposed solution is available through the GEON portal and, though focused on LiDAR processing, is applicable to other domains as well.</EA>
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<ED>Distributed system; Very large databases; Resource allocation; Distributed computing; Grid; High performance; Groupware; Workflow; Data analysis; Pipeline processor; Lidar; Performance evaluation</ED>
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A Three Tier Architecture for LiDAR Interpolation and Analysis

A Three Tier Architecture for LiDAR Interpolation and Analysis

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