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Map-Reduce Architecture on Intel Galileo

Map-Reduce Architecture on Intel Galileo

The basic idea of this blog is to document the implementation of a Map-Reduce framework on a Grid Computing architecture. The architecture will be implemented on a set of Intel Galileo Gen 2 protoyping boards. One result of this work will be a distributed system, with heterogeneous nodes geographically dispersed.

The Bachelor Thesis is co-tutored by Prof. Dr. Ralf Seepold (HTWG Konstanz - Germany, UC-Lab) and Prof. Dr. Juan Antonio Ortega (Universidad de Sevilla - Spain, Escuela Técnica Superior de Ingenería Informática). The thesis is executed during an ERASMUS+ stay at the University of Seville, Campus Reina Mercedes, Sevilla, Spain. 

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