Cloud Systems and Applications : A Review

Authors

  • Michael O. Ogbole  Information Security and Risk Management, Eaglewings Network Solutions Ltd., Ikeja, Lagos, Nigeria
  • Engr. Adakole L. Ogbole  Group Audit & Compliance, Unified Payment Services Ltd., VI, Lagos, Nigeria
  • Ayomide Olagesin  Student, Algonquin College Ottawa, Ontario, Canada

DOI:

https://doi.org/10.32628/CSEIT217131

Keywords:

Cloud Computing, Service Provider, Cloud Computing Stack, Cloud Platform

Abstract

Cloud computing has become a buzz word over the last decade. It has continued to attract businesses due to its on-demand service, applications and cost-effectiveness. There exist different Cloud Computing service providers today with inherent ambiguity of services and billing structure. To overhaul these ambiguities, in this paper, we discussed an overview of cloud computing, evaluated and diagrammatically stratified the Cloud Computing stack with their examples and their common elements. Further, the biggest Cloud Computing service providers are Amazon Web Services (AWS), Google App Engine and Microsoft Azure. We selected the service providers to analyse critically, compare and contrast their services, billing, performance and functionalities.

References

  1. Araujo, V. M., Vázquez, J. A., & Cota, M. P. (2014). A framework for the evaluation of SaaS impact. arXiv preprint arXiv:1406.2822.
  2. Brandt, R.L., 2011. One click: Jeff Bezos and the rise of Amazon. com. Penguin.
  3. Chabanon, D. (2013). How capacity issues in large urban commuter networks in Europe are addressed by implementing modern train control systems. In 2013 Rail ConferenceAmerican Public Transportation Association.
  4. Dempsey, D., & Kelliher, F. (2018). Cloud Computing: The Emergence of the 5th Utility. In Industry Trends in Cloud Computing (pp. 29-43). Palgrave Macmillan, Cham.
  5. Godse, M. and Mulik, S., 2009, September. An approach for selecting software-as-a-service (SaaS) product. In Cloud Computing, 2009. CLOUD'09. IEEE International Conference on (pp. 155-158). IEEE.
  6. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J. and Ghalsasi, A., 2011. Cloud computing—The business perspective☆. Decision Support Systems, 51, pp.176-189.
  7. Roloff, E., Birck, F., Diener, M., Carissimi, A., & Navaux, P. O. (2012, June). Evaluating high performance computing on the windows azure platform. In 2012 IEEE Fifth International Conference on Cloud Computing (pp. 803-810). IEEE.
  8. Sikeridis, D., Papapanagiotou, I., Rimal, B.P. and Devetsikiotis, M., 2017. A Comparative Taxonomy and Survey of Public Cloud Infrastructure Vendors. arXiv preprint arXiv:1710.01476.
  9. Tak, B.C., Urgaonkar, B. and Sivasubramaniam, A., 2011, June. To Move or Not to Move: The Economics of Cloud Computing. In HotCloud.
  10. Tan, C., Liu, K. and Sun, L., 2013. A design of evaluation method for SaaS in cloud computing. Journal of Industrial Engineering and Management, 6(1), p.50.
  11. Lee, V. W., Kim, C., Chhugani, J., Deisher, M., Kim, D., Nguyen, A. D., ... & Dubey, P. (2010, June). Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU. In Proceedings of the 37th annual international symposium on Computer architecture (pp. 451-460).
  12. Lenk, A., Klems, M., Nimis, J., Tai, S., & Sandholm, T. (2009, May). What's inside the Cloud? An architectural map of the Cloud landscape. In Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing (pp. 23-31). IEEE Computer Society.
  13. Prodan, R., Sperk, M., & Ostermann, S. (2012). Evaluating High-Performance Computing on Google App Engine. IEEE Software, 29(2).
  14. Gorbenko, A., Kharchenko, V., Mamutov, S., Tarasyuk, O. and Romanovsky, A., 2012, May. Exploring uncertainty of delays as a factor in end-to-end cloud response time. In Dependable Computing Conference (EDCC), 2012 Ninth European (pp. 185-190). IEEE.
  15. Copeland, M., Soh, J., Puca, A., Manning, M. and Gollob, D., 2015. Microsoft azure and cloud computing. In Microsoft Azure (pp. 3-26). Apress, Berkeley, CA.
  16. Yaqoob, I., Salah, K., Jayaraman, R., & Al-Hammadi, Y. (2021). Blockchain for healthcare data management: Opportunities, challenges, and future recommendations. Neural Computing and Applications, 1-16.

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

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Published

2021-02-28

Issue

Volume 7, Issue 1, January-February-2021

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]
Michael O. Ogbole, Engr. Adakole L. Ogbole, Ayomide Olagesin, " Cloud Systems and Applications : A Review" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 1, pp.142-149, January-February-2021. Available at doi : https://doi.org/10.32628/CSEIT217131