Towards a Model of a Scalable Middleware Architecture Based on Cloud Computing, Application Reliable Integration and E-Learning Platforms in Academic Information Systems

Authors

  • Abdellah Lalaoui Hassani Laboratory : Signals, Distributed Systems and Artificial Intelligence (SSDIA) ENSET Mohammedia, University Hassan II OF Casablanca, Morocco
  • Khalifa Mansouri Laboratory : Signals, Distributed Systems and Artificial Intelligence (SSDIA) ENSET Mohammedia, University Hassan II OF Casablanca, Morocco

DOI:

https://doi.org/10.14738/tmlai.54.3329

Keywords:

E-Learning, Higher Education, University’s Information System, Middleware Architecture, Integration, EAI, SOA, ESB, Cloud computing.

Abstract

Throughout the present article , we will examine, on the one hand, systems integration approaches of e-Learning applications in university’s information systems. On the other hand, we will establish a study about the integration of applications between the internal information systems and the Cloud. Then between the applications on the private cloud and the public cloud.

 

References

(1) Bernard Manouvrier and, Laurent Ménard , “Application Integration: EAI, B2B, BPM and SOA”,ISBN: 978-1-84821-088-2, chapter 5, Published Online: 27 JAN 2010.

(2) BumSuk Jang and Young-guk Ha, “Improvement of Schema-Informed XML Binary Encoding Using Schema Optimization Method”,Computers, Networks, Systems, and Industrial Applications, Springer, 2011.

(3) Chappel, Dave , “Enterprise Service Bus”, O'Reilly,2004.

(4) Christian Baun, Marcel Kunze, Jens Nimis, and Stefan Tai,

"Cloud Computing Web-Based Dynamic IT Services," in Cloud Computing.: Springer Berlin Heidelberg, 2011, pp. 15--48.

(5) Dimitrios Zissis and Dimitrios Lekkas, “Addressingcloud computing security issues”, Future GeberationComputer Systems, pp. 583-592, 2012.

(6) Faouzia MESSAOUDI , “DISPOSITIFS DE E-LEARNING : QUELS USAGES POUR AMELIORER LA FORMATION AU MAROC ? Du premier baromètre national du e-Learning à l’étude de cas de la formation continue” , pp.58-95, 2013.

(7) Fenouillet, F & Déro, M, “ Le e-learning est-il efficace ? Une analyse de la littérature anglo-saxonne, in Savoirs ”, vol. 12, n° 3, pp. 88-101,2006.

(8) FLETCHER J. D, “ Effective-ness and cost of interactive videodisc instruction », Machine Mediated Learning, pp. 361-385, 1991.

(9) Guillaume SUPERCZYNSKI, “Alfresco 3.4 Travail collaboratif et GED avec la plate-forme Share”, Editions ENI, 2011.

(10) isga.ma, "GESFO System", 2008. [Online]. Available: http://isga.ma/fr/espace-etudiant.

(11) J.A. Hijar Miranda,Daniel Vazquez Sanchez, Dario Emmanuel Vazquez Ceballos,Erika Hernandez Rubio, Amilcar Meneses Viveros, Elena Fabiola Ruiz Ledezma, “Middleware to integrate heterogeneous Learning Management Systems and initial results”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 5, No. 10, 2014.

(12) Marinela Mircea and Anca Ioana Andreescu, “Using Cloud Computin, in Higher Education: A Strategy to Improve Agility in the Current Financial Crisis, IBIMA publishing”, Article ID 875547,

(13) Mell, P., & Grance, T, "The NIST Definition of Cloud Computing", 2012.[Online].Available: http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf.

(14) Sebastian Pätzold, Sabine Rathmayer, Stephan Graf , “ Proposal for the design and implementation of a modern system architecture and integration infrastructure in context of e-learning and exchange of relevant data “, pp. 1-8, 2014.

(15) T Mather, S Kumaraswamy, S Latif,Cloud Security and Privacy, O’REILLY, September 2009

(16) Vivek Kale , “Enhancing Enterprise Intelligence: Leveraging ERP, CRM, SCM, PLM, BPM, and BI”, ISBN: 978-1-4987-0597-4, CRC Press, 2016.

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Published

2017-09-01

How to Cite

Hassani, A. L., & Mansouri, K. (2017). Towards a Model of a Scalable Middleware Architecture Based on Cloud Computing, Application Reliable Integration and E-Learning Platforms in Academic Information Systems. Transactions on Machine Learning and Artificial Intelligence, 5(4). https://doi.org/10.14738/tmlai.54.3329

Issue

Section

Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems