Optimized data management for e-learning in the clouds towards Cloodle

  • Authors:

  • Mirna Adriani;Yeow Wei Choong;Ba Hung Ngo;Laurent d'Orazio;Dominique Laurent;Nicolas Spyratos;Bruno Bachelet;Christophe Duhamel;Tao-Yuan Jen;Claudia Marinica;Thuong Cang Phan;Gilbert Ooi Sin Cheak;Romain Perriot;Tran Thi To Quyen;Loïc Yon

  • Affiliations:

  • University of Indonesia, Depok, Indonesia;HELP University, Kuala Lumpur, Malaisia;Can Tho University, Cantho, Vietnam;Université Blaise Pascal, Clermont-Ferrand, France;Université du Grand Ouest Parisien - Université de Cergy, Cergy Pontoise, France;UniverSud Paris - Université Paris Sud, Orsay, France;Universit e Blaise Pascal;Universit e Blaise Pascal;Universit e de Cergy-Pontoise;Universit e de Cergy- Pontoise;Universit e Blaise Pascal;HELP University;Universit e Blaise Pascal;Can Tho University;Universit e Blaise Pascal

  • Venue:
  • Proceedings of the Fourth Symposium on Information and Communication Technology
  • Year:
  • 2013

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Abstract

Cloud computing provides access to "infinite" storage and computing resources, offering promising perspectives for many applications, particularly e-learning. However, this new paradigm requires rethinking of database management principles in order to allow deployment on scalable, easy to access infrastructures, applying a pay-as-you-go model in which failures are not exceptions but rather the norm. The GOD project aims to provide an optimized data management system for e-learning in the cloud by rethinking traditional database management techniques, extending them to consider the specificities of this paradigm.