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Búsquedas avanzadas tipo grep de tesis realizadas en la ESPOL utilizando el paradigma map-reduce

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dc.contributor.author Aragundi, Grace
dc.contributor.author Bedoya, Adriana
dc.contributor.author Abad, Cristina
dc.date.accessioned 2010-02-23
dc.date.available 2010-02-23
dc.date.issued 2010-02-23
dc.identifier.uri http://www.dspace.espol.edu.ec/handle/123456789/9078
dc.description.abstract Currently the amount of information stored by companies in their databases and through the Web, has grown dramatically, this has led to the need to implement alternative to traditional mechanisms, based on parallel processing. This document explains the implementation of an advanced search mechanism on the thesis and graduation projects in ESPOL, which is efficient and scalable, based on the Map Reduce paradigm and implemented on Hadoop framework, running on clusters raised with the distributed computing EC2 service of the Amazon Web Services (AWS). Tests were performed using different regular expressions, that enabled us to create queries with higher levels of complexity, making that the results generated through this application were fully representative of what is expected to find. en
dc.language.iso spa en
dc.rights openAccess
dc.subject HADOOP en
dc.subject MAPREDUCE en
dc.subject EC2 en
dc.subject S3 en
dc.subject GREP en
dc.subject EXPRESIÓN REGULAR en
dc.subject TESIS en
dc.subject ESPOL. en
dc.title Búsquedas avanzadas tipo grep de tesis realizadas en la ESPOL utilizando el paradigma map-reduce en
dc.type Article en


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