A Three Tier Architecture for LiDAR Interpolation and Analysis
Identifieur interne : 001096 ( Main/Exploration ); précédent : 001095; suivant : 001097A Three Tier Architecture for LiDAR Interpolation and Analysis
Auteurs : Efrat Jaeger-Frank [États-Unis] ; J. Crosby [États-Unis] ; Ashraf Memon [États-Unis] ; Viswanath Nandigam [États-Unis] ; Ramon Arrowsmith [États-Unis] ; Jeffery Conner [États-Unis] ; Ilkay Altintas [États-Unis] ; Chaitan Baru [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
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.
Url:
DOI: 10.1007/11758532_123
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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