Cloud-Based Free Services for Educational Institutes

Authors

  • Maroof Naieem Qadri  Department of Computer Science, University of Kashmir, Srinagar, J&K, India
  • S M K Quadri  Department of Computer Science, Jamia Millia Islamia, New Delhi, India

Keywords:

Cloud Computing; Cloud Services; Hybrid Computing; educational cloud; Universities; Mapped Computing.

Abstract

Internet has changed the way computing through network model can take place from off-site locations without the need for the organizations to heavily invest on building its own infrastructure. The advent of cloud computing has made it possible, an innovative technology with dynamic scalability and usage of virtualized resources that can be shared by the users as a service through internet. The pay-as-you-use service model is one of the key factors for the success of cloud computing paradigm: resources are used only when needed and charged on basis of their actual usage. Some of the ICT services through cloud are even provided free to educational institutions and they can benefit from these services. Universities necessarily do not have enough resources to spend on subscribing or establishing ICT facilities but these facilities are essential for improving the way faculty & student interact, communicate, and carry research activities. Faculty, staff and students have access to services like institutional email, 1 TB drive space, Office applications free which otherwise require purchased licenses. In this paper, the different free cloud services provided for educational use are discussed, analysed for perception of its adoption. Adopting these services will give operational ease, high reliability, ease of accessibility with no financial implications. The cloud services for education guarantees the desired performance level and minimises the expenditure otherwise to be incurred on setting up or subscribing to such services.

References

  1. Abhishek, & Gagandeep (2013). Benefits and security issues in cloud computing. International Journal of Emerging Research in Management & Technology, 2(1), 108-114.
  2. Aleem, A., & Ryan Sprott, C. (2012). Let me in the cloud: analysis of the benefit and risk assessment of cloud platform. Journal of Financial Crime, 20(1), 6-24.
  3. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation computer systems, 25(6), 599-616.
  4. Cadregari, C., & Cutaia, A. (2011). Every Silver Cloud Has a Dark Lining: A Primer on Cloud Computing, Regulatory and Data Security Risk. ISACA Journal, 3, 12.
  5. Catteddu, D. & Hogben, G. (2009).Cloud Computing: Benefit, Risks and Recommendations for information security.European Network and Information Security Agency(ENISA), pp. 1-125.
  6. Mukundha, C., Gayathri, P., & Prabha, I. S. (2016). Load Balance Scheduling Algorithm for Serving of Requests in Cloud Networks Using Software Defined Networks. International Journal of Applied Engineering Research, 11(6), 3910-3914.
  7. Wyld, D. C. (2010). The cloudy future of government IT: Cloud computing and the public sector around the world. International Journal of Web & Semantic Technology, 1(1), 1-20.
  8. Gupta, D. K.,Mishra, A., Dr. Sahoo, G. (2013).Cloud Computing: Solving Availability Problem in Future Framework for e-Governance, International Journal of Computer Applications & Information Technology, Vol.2, Issue 11, pp.16-20.
  9. Shin, D. H. (2013). User centric cloud service model in public sectors: Policy implications of cloud services. Government Information Quarterly, 30(2), 194-203.
  10. Ercan, T. (2010). Effective use of cloud computing in educational institutions. Procedia-Social and Behavioral Sciences, 2(2), 938-942.
  11. Furht, B. (2010). Cloud computing fundamentals. In Handbook of cloud computing (pp. 3-19). Springer US.
  12. Goscinski, A., & Brock, M. (2010). Toward dynamic and attribute based publication, discovery and selection for cloud computing. Future generation computer systems, 26(7), 947-970.
  13. Grossman, R. L. (2009). The case for cloud computing. IT professional, 11(2), 23-27.
  14. Hashemi, S., Monfaredi, K., & Masdari, M. (2013). Using cloud computing for e-government: challenges and benefits. International Journal of Computer, Information, Systems and Control Engineering, 7(9), 596-603.
  15. Hussein, A., & Mohamed, O. (2015). CLOUD COMPUTING AND ITS EFFECT ON PERFORMANCE EXCELLENCE AT HIGHER EDUCATION INSTITUTIONS IN EGYPT (AN ANALYTICAL STUDY). European Scientific Journal, ESJ, 11(10).
  16. Kaur, I., & Bala, K.(2015). E-governance: Benefits and Challenges of cloud based architecture.,International Journal of Computer Science and Technology, 6(3), 35-37.
  17. Mukherjee, K., & Sahoo, G. (2010). Cloud computing: future framework for e-Governance. International Journal of Computer Applications, 7(7), 31-34.
  18. KPMG (2011).The Cloud changing the business ecosystem.Survey report, available at: https://www.kpmg.com/IN/en/IssuesAndInsights/ThoughtLeadership/The_Cloud_Changing_the_Business_Ecosystem.pdf (accessed 13 November,2016).
  19. Vats, K., Sharma, S., & Rathee, A. (2012). A review of cloud computing and e-governance. International journal of Advanced Research in Computer science and Software engineering, 2(2).
  20. Dash, M., & Panda, R. N. (2014).Cloud in Indian e-governance model. International Journal of Recent Development in Engineering and Technology, 2(2), 13-15.
  21. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing—The business perspective. Decision support systems, 51(1), 176-189.
  22. Yuvaraj, M. (2015). Problems and prospects of implementing cloud computing in university libraries: A case study of Banaras Hindu University library system. Library Review, 64(8/9), 567-582.
  23. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing., available at: http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf (accessed 11 November, 2016).
  24. Microsoft (2011).Cloud Computing: What is Infrastructure as a Service. TechNet Magazine 2011, available at: https://technet.microsoft.com/en-us/library/hh509051.aspx(accessed 12 November, 2016).
  25. Sultan, N. (2010). Cloud computing for education: A new dawn?. International Journal of Information Management, 30(2), 109-116.
  26. Parnia Samimi, Youness Teimouri,Muriati Mukhtar (2016), "A combinatorial double action resource allocation model in cloud computing",Information Sciences 357, pp. 201-216.
  27. Prodan, R., & Ostermann, S. (2009, October). A survey and taxonomy of infrastructure as a service and web hosting cloud providers. In Grid Computing, 2009 10th IEEE/ACM International Conference on (pp. 17-25). IEEE..
  28. Qadri, E. M. N. (2014). e-Governance at University of Kashmir: Bringing Efficiency & Transparency. International Journal of Information and Computation Technology, 4(2), 119-126.
  29. Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications, 1(1), 7-18.
  30. Qian, L., Luo, Z., Du, Y., & Guo, L. (2009). Cloud computing: An overview. Cloud computing, 626-631.
  31. Rajaraman, V .(2014).Cloud computing.Resonance, 19(3),242-258.
  32. Quadri, S. M. K., Zaman,M., Qadri, M. N., (2014).E-governance development: Agile Perspective.
  33. Okai, S., Uddin, M., Arshad, A., Alsaqour, R., & Shah, A. (2014). Cloud computing adoption model for universities to increase ICT proficiency. SAGE Open, 4(3), 2158244014546461.
  34. Paquette, S., Jaeger, P. T., & Wilson, S. C. (2010). Identifying the security risks associated with governmental use of cloud computing. Government information quarterly, 27(3), 245-253.
  35. Smitha, K. K., Thomas, T., & Chitharanjan, K. (2012). Cloud based e-governance system: A survey. Procedia Engineering, 38, 3816-3823.
  36. Thomas, P. Y. (2011). Cloud computing: A potential paradigm for practising the scholarship of teaching and learning. The Electronic Library, 29(2), 214-224.
  37. Voas, J., & Zhang, J. (2009). Cloud computing: New wine or just a new bottle?. IT professional, 11(2), 15-17.
  38. Wang, L., Von Laszewski, G., Younge, A., He, X., Kunze, M., Tao, J., & Fu, C. (2010). Cloud computing: a perspective study. New Generation Computing, 28(2), 137-146.
  39. Wu, W. W., Lan, L. W., & Lee, Y. T. (2013). Factors hindering acceptance of using cloud services in university: a case study. The Electronic Library, 31(1), 84-98.
  40. Lin, W., Wang, J. Z., Liang, C., & Qi, D. (2011). A threshold-based dynamic resource allocation scheme for cloud computing. Procedia Engineering, 23, 695-703.
  41. Wu, W. W. (2011). Mining significant factors affecting the adoption of SaaS using the rough set approach. Journal of Systems and Software, 84(3), 435-441.
  42. Wu, W. W., Lan, L. W., & Lee, Y. T. (2011). Exploring decisive factors affecting an organization's SaaS adoption: A case study. International Journal of Information Management, 31(6), 556-563.
  43. Yuvaraj, M. (2015). Cloud computing software and solutions for libraries: a comparative study. Journal of Electronic resources in medical libraries, 12(1), 25-41.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Maroof Naieem Qadri, S M K Quadri, " Cloud-Based Free Services for Educational Institutes, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.1015-1022, September-October-2017.