A Three Tier Architecture for LiDAR Interpolation and Analysis
Identifieur interne : 000227 ( PascalFrancis/Corpus ); précédent : 000226; suivant : 000228A 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 BaruSource :
- Lecture notes in computer science [ 0302-9743 ] ; 2006.
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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.
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Format Inist (serveur)
NO : | PASCAL 08-0051275 INIST |
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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:08-0051275Le 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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<fC03 i1="09" i2="X" l="FRE"><s0>Analyse donnée</s0>
<s5>14</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Data analysis</s0>
<s5>14</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Análisis datos</s0>
<s5>14</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Processeur pipeline</s0>
<s5>15</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Pipeline processor</s0>
<s5>15</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Procesador oleoducto</s0>
<s5>15</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Radar optique</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Lidar</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Radar óptico</s0>
<s5>18</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Evaluation performance</s0>
<s5>19</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Performance evaluation</s0>
<s5>19</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Evaluación prestación</s0>
<s5>19</s5>
</fC03>
<fN21><s1>028</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
<pR><fA30 i1="01" i2="1" l="ENG"><s1>IInternational Conference on Computational Science</s1>
<s2>6</s2>
<s3>Reading GBR</s3>
<s4>2006</s4>
</fA30>
</pR>
</standard>
<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>
<CC>001D02B04; 001D02B07D; 001D02A05</CC>
<FD>Système réparti; Base donnée très grande; Allocation ressource; Calcul réparti; Grille; Haute performance; Collecticiel; Workflow; Analyse donnée; Processeur pipeline; Radar optique; Evaluation performance</FD>
<ED>Distributed system; Very large databases; Resource allocation; Distributed computing; Grid; High performance; Groupware; Workflow; Data analysis; Pipeline processor; Lidar; Performance evaluation</ED>
<SD>Sistema repartido; Asignación recurso; Cálculo repartido; Rejilla; Alto rendimiento; Groupware; Workflow; Análisis datos; Procesador oleoducto; Radar óptico; Evaluación prestación</SD>
<LO>INIST-16343.354000172811804420</LO>
<ID>08-0051275</ID>
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