000015918 001__ 15918 000015918 005__ 20150429092409.0 000015918 037__ $$aTAZ-PFC-2014-371 000015918 041__ $$aeng 000015918 1001_ $$aCerdán Lázaro, Mario 000015918 24500 $$aScalability of a cloud-based data store: improving HBase performance 000015918 260__ $$aZaragoza$$bUniversidad de Zaragoza$$c2014 000015918 506__ $$aby-nc-sa$$bCreative Commons$$c3.0$$uhttp://creativecommons.org/licenses/by-nc-sa/3.0/ 000015918 500__ $$aPFC desarrollado en Aalto University (Helsinki, Finlandia). Resumen en español. 000015918 520__ $$aCloud computing has opened doors to a new era of enterprises that harness the new Cloud enabled business. More and more novel applications are leveraging this paradigm every day, which translates to a never seen increase in the amount of stored data. This phenomenon is commonly known as Big Data; the presence of rapidly expanding high-volume data sets. Many of these applications bring new challenges to databases and therefore the scalability of the Cloud-based databases has become a top-research issue of the Cloud Computing infrastructure. As an alternative to the well-known relational databases, NoSQL databases have born to fit Big Data application requirements. Traditional relational databases as they are often implemented are not sufficient anymore for Internet scale distributed systems dealing with Big Data. Nevertheless, NoSQL have proved to be robust in Big Data applications. The purpose of this project is to scaling out the data of a San Diego company that produces software for wireless multimedia, which is currently implemented on a MySQL cluster. In order to improve the performance of the computation, we propose a solution using Apache HBase, a NoSQL database. This final project proposes implementations as well as comparison details of a number of computation techniques conducted in HBase along with different open-source distributed computing components such as Hadoop HDFS and MapReduce, and presents benchmarks of our developed solution. 000015918 521__ $$aIngeniero en Informática 000015918 540__ $$aDerechos regulados por licencia Creative Commons 000015918 6531_ $$acloud computing 000015918 6531_ $$anosql 000015918 6531_ $$ahbase 000015918 6531_ $$ahadoop 000015918 6531_ $$amapreduce 000015918 6531_ $$acap 000015918 6531_ $$adata skew 000015918 700__ $$aHeljanko, Keijo$$edir. 000015918 7102_ $$aUniversidad de Zaragoza$$bInformática e Ingeniería de Sistemas$$cLenguajes y Sistemas Informáticos 000015918 7202_ $$aBañares Bañares, José Ángel$$eponente 000015918 8560_ $$f578215@celes.unizar.es 000015918 8564_ $$s1247024$$uhttps://zaguan.unizar.es/record/15918/files/TAZ-PFC-2014-371.pdf$$yMemoria (eng)$$zMemoria (eng) 000015918 8564_ $$s1555755$$uhttps://zaguan.unizar.es/record/15918/files/TAZ-PFC-2014-371_ANE.pdf$$zAnexos (eng) 000015918 909CO $$ooai:zaguan.unizar.es:15918$$pproyectos-fin-carrera$$pdriver 000015918 950__ $$a 000015918 980__ $$aTAZ$$bPFC$$cEINA