Using High Performance Computing and Open Source Technologies for Solving Behaviour Analytics Problems in E-Learning

Laimonis Zacs, Anita Jansone

Abstract


In this paper the authors describe solution for solving various analytical problems in E-learning, Course Management Systems like Moodle by using HPC (High Performance Computing) and Apache Hadoop open source technologies in Liepaja University. The problem is that nowadays there are collecting huge amounts of analytics data from several gigabytes to petabytes, which is hard to store, process, analyse and visualize. This article reflects one of the solutions concerning distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that can store and process the data, can scale without limits and provides technological opportunities of reliable, scalable and distributed computing.

 


Keywords


Apache Hadoop; Big Data; E-Learning technologies; High Performance Computing; online learning platform; open-source software

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References


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DOI: http://dx.doi.org/10.17770/sie2015vol4.405

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