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Cloud-Based E-Learning Tools for Data Analysis

Domenii publicaţii > Ştiinţe informatice + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: Grigore ALBEANU, Florin Popentiu-VLADICESCU

Editorial: Proceedings of eLSE 2012: The 8th International Scientific Conference eLearning and software for Education Bucharest, April 26-27, 2012 10.5682/2066-026X-12-092, 2, p.11-15, 2012.


This paper describes the most important characteristics of cloud computing paradigm in order to be used as powerful arrows towards efficient approaches in teaching data analysis. Also High Performance Computing aspects are considered for solving large complexity data analysis problems. The usage of both Cloud Computing and High Performance Computing will assure not only an excellent framework for research but also a powerful and flexible environment for e-Learning. The presentation is structured in three sections, being closed with the list of references. The first section considers the resources of cloud computing: SaaS (Software as a Service), IaaS (Infrastructure as a Service), PaaS (Platform as a Service – predefined integrated platform), and Managed Services. For every mentioned resource the most important features which are valuable for e-learning are outlined. High Performance Computing for data analysis is described in the second section. Also, software tools useful to analyse collections of data having small, medium or large size are presented and compared in order to identify the best tool to be used in a virtual learning framework. The third section describes both data manipulation techniques and results of experiments. Finally, concluding remarks are presented related to an online course on data analysis based on cloud computing paradigm.

Cuvinte cheie: cloud computing, high performance computing, data analysis, e-learning // cloud computing, high performance computing, data analysis, e-learning