Skip to main navigation menu Skip to main content Skip to site footer

Vol. 27 No. 47 (2018)

Papers

Enterprise file synchronization and sharing services for educational environments in case of disaster

https://doi.org/10.19053/01211129.v27.n47.2018.7806

Published 2018-01-15

Ana Isabel Delgado-Domínguez
Escuela Politécnica Nacional (Quito, Ecuador)

Walter Marcelo Fuertes-Díaz
Universidad de las Fuerzas Armadas ESPE (Sangolquí, Ecuador)

Sandra Patricia Sánchez-Gordón
Escuela Politécnica Nacional (Quito, Ecuador)

Abstract

Cloud computing is an emerging solution that responds to the concept of Smart University; it aims at offering an intelligent environment of business continuity for the actors of an educational center. This research offers a recovery plan of educational services in case of disaster, through an action research, which analyzed free software for cloud computing, focusing on Enterprise File Synchronization and Sharing (EFSS). To achieve this, the implementation was placed in a local scenario (Linux Apache, MySQL, PHP, LAMP), and stress tests were performed on three applications: Nextcloud, Seafile and Pydio. Nextcloud had more consistent and better results than the other two applications; however, it lacks a system that allows synchronizing two Nextcloud instances. To solve this, we developed a routine aimed at providing an environment that monitors the hot site where the application is hosted and, from time to time, synchronize the instance to avoid data loss during disaster events. Afterwards, we configured a second application on a cold site that is alert to a possible service breakdown, so it can respond and sent immediate alerts. Finally, the usability of the routine was evaluated, and the disaster recovery plan for the EFSS was assembled, to offer a continuity of the educational services that are running in these environments.

Keywords

business continuity, cloud computing, disaster recovery, educational technology, information technology, open source

PDF XML

References

  1. F. Daryabar, A. Dehghantanha, and K.-K. R. Choo, “Cloud storage forensics: MEGA as a case study,” Aust. J. Forensic Sci., pp. 1–14, Apr. 2016. http://doi.org/10.1080/00450618.2016.1153714.
  2. L. Yang, “Education Cloud: New Development of Informationization Education in China,” in Frontier and Future Development of Information Technology in Medicine and Education, 2014. DOI: http://doi.org/10.1007/978-94-007-7618-0_131.
  3. S. Kamada, T. Ichimura, T. Shigeyasu, and Y. Takemoto, “Registration system of cloud campus by using android smart tablet,” Springerplus, vol. 3 (1), pp. 761–774, 2014. DOI: http://doi.org/10.1186/2193-1801-3-761.
  4. T. Dong, Y. Ma, and L. Liu, “The Application of Cloud Computing in Universities’ Education Information Resources Management,” in International Conference on Information Engineering, 2012. DOI: http://doi.org/10.1007/978-1-4471-2386-6_122.
  5. Chrysikos and R. Ward, “Cloud Computing Within Higher Education: Applying Knowledge as a Service (KaaS),” in Continued Rise of the Cloud: Advances and Trends in Cloud Computing, Z, 2014. DOI: http://doi.org/10.1007/978-1-4471-6452-4_13.
  6. D. C. Wyld, and R. L. Juban, “Education in the Clouds: How Colleges and Universities are Leveraging Cloud Computing,” in Technological Developments in Networking, Education and Automation, 2010. DOI: http://doi.org/10.1007/978-90-481-9151-2_1.
  7. J. Zhang, S. Sagar, and E. Shihab, “The Evolution of Mobile Apps: An Exploratory Study,” in International Workshop on Software Development Lifecycle for Mobile, 2013. DOI: http://doi.org/10.1145/2501553.2501554.
  8. J. C. Augusto, “Ambient intelligence: opportunities and consequences of its use in smart Classrooms,” Innov. Teach. Learn. Inf. Comput. Sci., vol. 8, no. 2, pp. 53–63, Jun. 2009. DOI: http://doi.org/10.11120/ital.2009.08020053.
  9. Y. Shi, H. H. Yang, Z. Yang, and D. Wu, “Trends of Cloud Computing in Education,” in 7th International Conference Hybrid Learning, 2014. DOI: http://doi.org/10.1007/978-3-319-08961-4_12.
  10. K. B. Nayar, and V. Kumar, “Benefits of Cloud Computing in Education During Disaster,” in International Conference on Transformations in Engineering Education: ICTIEE, 2014. DOI: http://doi.org/10.1007/978-81-322-1931-6_24.
  11. Gregus, and V. Karovic, “Practical Implementation of Private Cloud Based on Open Source ownCloud for Small Teams - Case Study,” 2016, pp. 183–187.
  12. I. Arpaci, “Antecedents and consequences of cloud computing adoption in education to achieve knowledge management,” Comput. Human Behav., vol. 70, pp. 382–390, May. 2017. DOI: http://doi.org/10.1016/j.chb.2017.01.024.
  13. V. Paranjape, and V. Pandey, “An Innovation in Education Through Cloud Computing,” in All India Seminar on Biomedical Engineering, 2012.
  14. X. Wang, and Q. Cai, “The Analysis of the Application of Cloud Computing in the Field of Basic Education,” in Second International Conference Technology in Education, 2015. DOI: http://doi.org/10.1007/978-3-662-48978-9_16.
  15. S. Pizard, F. Aceranza, V. Casella, S. Moreno, and D. Vallespir, “Conceptos de Ingeniería de Software Basada en Evidencias,” Reporte Técnico, RT 15-08, 2015.
  16. M. Basso, C. Smulders, and J. Mann, “Magic Quadrant for Enterprise File Synchronization and Sharing Market,” Gart. Inc., Jul. 2015, pp. 16, 2014.
  17. F. J. Díaz, C. M. Banchoff Tzancoff, A. S. Rodríguez, and V. Soria, “Usando Jmeter para pruebas de rendimiento,” in XIV Congreso Argentino de Ciencias de la Computación, 2008.
  18. S. Powers, “Graph Any Data with Cacti!,” Linux Journal, vol. 271. pp. 50–68, Nov. 2016.
  19. ULEAM, “Reporte de matriculados 2016 y 2017,” Universidad Laica Eloy Alfaro de Manabí, 2017.
  20. ISO/IEC, “ISO/IEC 22301:2012 Societal security -- Business continuity management systems --- Requirements,” 2012.
  21. Alberta Education, “IT Disaster Recovery Planning Guide”, 2016. Available in: http://education.alberta.ca/media/3272747/2-it-disaster-recovery-planning-guide.pdf.
  22. ISO/IEC, “ISO/IEC 25010 (2011) - Systems and software Quality Requirements and Evaluation (SQuaRE) - System and software quality models,” 2011.
  23. K. Esaki, “Verification of Quality Requirement Method Based on the SQuaRE System Quality Model,” Am. J. Oper. Res., vol. 3 (1), pp. 70–79, 2013. DOI: http://doi.org/10.4236/ajor.2013.31006.

Downloads

Download data is not yet available.

Most read articles by the same author(s)