Show simple item record

dc.contributor.advisorRivera, Wilson
dc.contributor.authorCarvajal-Jimenez, Carmen Liliana
dc.date.accessioned2019-05-14T14:54:12Z
dc.date.available2019-05-14T14:54:12Z
dc.date.issued2004
dc.identifier.urihttps://hdl.handle.net/20.500.11801/2157
dc.description.abstractHyperspectral imaging analysis demands large input data sets and in turn re- quires signi¯cant CPU time and memory capacity. Grid Computing has the potential of improving the performance of these types of data and computational intensive applications. In this thesis we describe the design and implementation of Grid-HSI, a Service Oriented Architecture-based Grid application to enable hyperspectral imaging analysis. Grid-HSI provides users with a transparent interface to access computational resources and perform remotely hyperspectral imaging analysis through a set of Grid services. The base of the system is composed by a Portal Grid Interface, a Data Broker and a set of specialized Grid services. The system is based on the Open Grid Service Architecture (OGSA), and imple- mented on the top of Globus Toolkit 3 (GT3). We have conducted experiments that show the suitability of Grid-HSI to perform e±ciently hyperspectral analysis.en_US
dc.description.abstractLas imágenes hiperespectrales demandan gran tiempo de procesamiento al igual que gran requerimiento de capacidad de memoria. La computación en malla tiene el potencial de mejorar el rendimiento para el análisis de imágenes hyperespactrales y de aplicaciones de computacion intensiva. En esta tesis se describe el dise~no y la implementacion de Grid-HSI, una aplicación en malla basada en una arquitectura orientada a servicio para habilitar el análisis de imágenes hyperespactrales. Grid-HSI provee a los usuarios una inter- fase transparente para acceder a recursos computacionales y ejecutar remotamente análisis de imágenes hyperespectrales a través de un conjunto de servicios grid. El sistema esta basado en Open Grid Services Architecture (OGSA), e implementado con Globos Toolkit 3.0.en_US
dc.language.isoEnglishen_US
dc.subjectGrid computingen_US
dc.subjecthyperspectral imaging analysisen_US
dc.titleUsing grid computing to enable hyperspectral imaging analysisen_US
dc.typeThesisen_US
dc.rights.licenseAll rights reserveden_US
dc.rights.holder(c) 2004 Carmen Liliana Carvajal-Jimenezen_US
dc.contributor.committeeRodriguez, Manuel
dc.contributor.committeeRodriguez, Nestor
dc.contributor.representativeGonzalez, Ana C.
thesis.degree.levelM.S.en_US
thesis.degree.disciplineComputer Engineeringen_US
dc.contributor.collegeCollege of Engineeringen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.description.graduationYear2004en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Theses & Dissertations
    Items included under this collection are theses, dissertations, and project reports submitted as a requirement for completing a degree at UPR-Mayagüez.

Show simple item record

All rights reserved
Except where otherwise noted, this item's license is described as All Rights Reserved