Digi-Clima Grid: image processing and distributed computing for recovering historical climate data

dc.date2015-12-01
dc.date.accessioned2023-09-25T18:35:38Z
dc.date.available2023-09-25T18:35:38Z
dc.identifierhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002015000300005
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8838643
dc.descriptionThis article describes the Digi-Clima Grid project, whose main goals are to design and implement semi-automatic techniques for digitalizing and recovering historical climate records applying parallel computing techniques over distributed computing infrastructures. The specific tool developed for image processing is described, and the implementation over grid and cloud infrastructures is reported. An experimental analysis over institutional and volunteer-based grid/cloud distributed systems demonstrate that the proposed approach is an efficient tool for recovering historical climate data. The parallel implementations allow to distribute the processing load, achieving accurate speedup values.
dc.formattext/html
dc.languageen
dc.publisherCentro Latinoamericano de Estudios en Informática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCLEI Electronic Journal v.18 n.3 2015
dc.subjectDistributed computing
dc.subjectimage processing
dc.subjectrecovering climate data
dc.titleDigi-Clima Grid: image processing and distributed computing for recovering historical climate data
dc.typeinfo:eu-repo/semantics/article


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