A Three Tier Architecture Applied to LiDAR Processing and Monitoring
Emerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses, which in the past were often considered difficult to solve. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide modular...
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doaj-fbf55b2f23bb46b5b19d9d07a1cf541d2021-07-02T06:44:39ZengHindawi LimitedScientific Programming1058-92441875-919X2006-01-01143-418519410.1155/2006/416895A Three Tier Architecture Applied to LiDAR Processing and MonitoringEfrat Jaeger-Frank0Christopher J. Crosby1Ashraf Memon2Viswanath Nandigam3Jeffery Conner4J. Ramon Arrowsmith5Ilkay Altintas6Chaitan Baru7San Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USADepartment of Geological Sciences, Arizona State University, Tempe, AZ 85287, USASan Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USASan Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USADepartment of Geological Sciences, Arizona State University, Tempe, AZ 85287, USADepartment of Geological Sciences, Arizona State University, Tempe, AZ 85287, USASan Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USASan Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USAEmerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses, which in the past were often considered difficult to solve. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide modularized and configurable environments for accessing Grid clusters and executing high performance computational tasks. Computationally intensive processes are also subject to a high risk of component failures and thus require close monitoring. In this paper we describe a scientific workflow approach to coordinate various resources via 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 to the community in a unified framework through a shared cyberinfrastructure, the GEON portal, enabling scientists to focus on their scientific work and not be concerned with the implementation of the underlying infrastructure.http://dx.doi.org/10.1155/2006/416895 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Efrat Jaeger-Frank Christopher J. Crosby Ashraf Memon Viswanath Nandigam Jeffery Conner J. Ramon Arrowsmith Ilkay Altintas Chaitan Baru |
spellingShingle |
Efrat Jaeger-Frank Christopher J. Crosby Ashraf Memon Viswanath Nandigam Jeffery Conner J. Ramon Arrowsmith Ilkay Altintas Chaitan Baru A Three Tier Architecture Applied to LiDAR Processing and Monitoring Scientific Programming |
author_facet |
Efrat Jaeger-Frank Christopher J. Crosby Ashraf Memon Viswanath Nandigam Jeffery Conner J. Ramon Arrowsmith Ilkay Altintas Chaitan Baru |
author_sort |
Efrat Jaeger-Frank |
title |
A Three Tier Architecture Applied to LiDAR Processing and Monitoring |
title_short |
A Three Tier Architecture Applied to LiDAR Processing and Monitoring |
title_full |
A Three Tier Architecture Applied to LiDAR Processing and Monitoring |
title_fullStr |
A Three Tier Architecture Applied to LiDAR Processing and Monitoring |
title_full_unstemmed |
A Three Tier Architecture Applied to LiDAR Processing and Monitoring |
title_sort |
three tier architecture applied to lidar processing and monitoring |
publisher |
Hindawi Limited |
series |
Scientific Programming |
issn |
1058-9244 1875-919X |
publishDate |
2006-01-01 |
description |
Emerging Grid technologies enable solving scientific problems that involve large datasets and complex analyses, which in the past were often considered difficult to solve. Coordinating distributed Grid resources and computational processes requires adaptable interfaces and tools that provide modularized and configurable environments for accessing Grid clusters and executing high performance computational tasks. Computationally intensive processes are also subject to a high risk of component failures and thus require close monitoring. In this paper we describe a scientific workflow approach to coordinate various resources via 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 to the community in a unified framework through a shared cyberinfrastructure, the GEON portal, enabling scientists to focus on their scientific work and not be concerned with the implementation of the underlying infrastructure. |
url |
http://dx.doi.org/10.1155/2006/416895 |
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