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Representative Service Providers and their Selection in Cloud Computing Domain

by Pranish Dahal, Ritika Prasai
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 26
Year of Publication: 2022
Authors: Pranish Dahal, Ritika Prasai
10.5120/ijca2022922297

Pranish Dahal, Ritika Prasai . Representative Service Providers and their Selection in Cloud Computing Domain. International Journal of Computer Applications. 184, 26 ( Aug 2022), 49-53. DOI=10.5120/ijca2022922297

@article{ 10.5120/ijca2022922297,
author = { Pranish Dahal, Ritika Prasai },
title = { Representative Service Providers and their Selection in Cloud Computing Domain },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2022 },
volume = { 184 },
number = { 26 },
month = { Aug },
year = { 2022 },
issn = { 0975-8887 },
pages = { 49-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number26/32480-2022922297/ },
doi = { 10.5120/ijca2022922297 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:22:31.179511+05:30
%A Pranish Dahal
%A Ritika Prasai
%T Representative Service Providers and their Selection in Cloud Computing Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 26
%P 49-53
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The popularity of cloud computing is growing owing to its large data storage capacity and high computation power. It provides online, on-demand, scalable application solution, removes hardware and software barriers for non-specialist, rapidly integrates and deploys desired and necessary facilities, supports quick upgrading and addition of features. Users get benefitted with the selection of the appropriate cloud computing platform for their projects. Here, our paper provides a comprehensive overview of the services provided to the users by the most common cloud computing service providers. This paper could be used as a reference while selecting the best service provider based on the requirements of the projects.

References
  1. “Cloud Computing: An Overview | SpringerLink.” https://link.springer.com/chapter/10.1007/978-3-642-10665-1_63 (accessed Jul. 06, 2022).
  2. T. Dillon, C. Wu, and E. Chang, “Cloud Computing: Issues and Challenges,” in 2010 24th IEEE International Conference on Advanced Information Networking and Applications, Apr. 2010, pp. 27–33. doi: 10.1109/AINA.2010.187.
  3. Y. Altintas, C. Brecher, M. Weck, and S. Witt, “Virtual Machine Tool,” CIRP Ann., vol. 54, no. 2, pp. 115–138, Jan. 2005, doi: 10.1016/S0007-8506(07)60022-5.
  4. G. McGrath and P. R. Brenner, “Serverless Computing: Design, Implementation, and Performance,” in 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW), Jun. 2017, pp. 405–410. doi: 10.1109/ICDCSW.2017.36.
  5. S. Chaisiri, B.-S. Lee, and D. Niyato, “Optimization of Resource Provisioning Cost in Cloud Computing,” IEEE Trans. Serv. Comput., vol. 5, no. 2, pp. 164–177, Apr. 2012, doi: 10.1109/TSC.2011.7.
  6. F. Lombardi and R. Di Pietro, “Secure virtualization for cloud computing,” J. Netw. Comput. Appl., vol. 34, no. 4, pp. 1113–1122, Jul. 2011, doi: 10.1016/j.jnca.2010.06.008.
  7. P. Maresova, V. Sobeslav, and O. Krejcar, “Cost–benefit analysis – evaluation model of cloud computing deployment for use in companies,” Appl. Econ., vol. 49, no. 6, pp. 521–533, Feb. 2017, doi: 10.1080/00036846.2016.1200188.
  8. M. T. Amron, R. Ibrahim, and S. Chuprat, “A Review on Cloud Computing Acceptance Factors,” Procedia Comput. Sci., vol. 124, pp. 639–646, Jan. 2017, doi: 10.1016/j.procs.2017.12.200.
  9. A. Gandhi, P. Dube, A. Karve, A. Kochut, and L. Zhang, “Adaptive, Model-driven Autoscaling for Cloud Applications,” 2014, pp. 57–64. Accessed: Jul. 06, 2022. [Online]. Available: https://www.usenix.org/conference/icac14/technical-sessions/presentation/gandhi
  10. A. Reichman, “File Storage Costs Less In The Cloud Than In-House,” p. 15, 2011.
  11. I. Baldiniet al., “Serverless Computing: Current Trends and Open Problems,” in Research Advances in Cloud Computing, S. Chaudhary, G. Somani, and R. Buyya, Eds. Singapore: Springer, 2017, pp. 1–20. doi: 10.1007/978-981-10-5026-8_1.
  12. Dr. R. P. S. Mr. A. C. Sekhar, “IRJET-A WALK THROUGH OF AWS (AMAZON WEB SERVICES)”, Accessed: Jul. 06, 2022. [Online]. Available: https://www.academia.edu/13017573/IRJET_A_WALK_THROUGH_OF_AWS_AMAZON_WEB_SERVICES_
  13. E. Bisong, “An Overview of Google Cloud Platform Services,” in Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners, E. Bisong, Ed. Berkeley, CA: Apress, 2019, pp. 7–10. doi: 10.1007/978-1-4842-4470-8_2.
  14. M. Copeland, J. Soh, A. Puca, M. Manning, and D. Gollob, “Microsoft Azure and Cloud Computing,” in Microsoft Azure: Planning, Deploying, and Managing Your Data center in the Cloud, M. Copeland, J. Soh, A. Puca, M. Manning, and D. Gollob, Eds. Berkeley, CA: Apress, 2015, pp. 3–26. doi: 10.1007/978-1-4842-1043-7_1.
  15. “IBM Cloud Computing Powering a Smarter Planet | SpringerLink.” https://link.springer.com/chapter/10.1007/978-3-642-10665-1_62 (accessed Jul. 06, 2022).
  16. P. Paul, P. S. Aithal, R. Saavedra M, P. S. B. Aremu, and P. Baby, “Cloud Service Providers: An Analysis of Some Emerging Organizations and Industries.” Rochester, NY, May 25, 2020. Accessed: Jul. 06, 2022. [Online]. Available: https://papers.ssrn.com/abstract=3613033
  17. Practical Oracle Cloud Infrastructure. Accessed: Jul. 06, 2022. [Online]. Available: https://link.springer.com/book/10.1007/978-1-4842-5506-3
  18. G. Zhang and M. N. Ravishankar, “Exploring vendor capabilities in the cloud environment: A case study of Alibaba Cloud Computing,” Inf. Manage., vol. 56, no. 3, pp. 343–355, Apr. 2019, doi: 10.1016/j.im.2018.07.008.
  19. M. Amani et al., “Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 13, pp. 5326–5350, 2020, doi: 10.1109/JSTARS.2020.3021052.
  20. H. Tamiminia, B. Salehi, M. Mahdianpari, L. Quackenbush, S. Adeli, and B. Brisco, “Google Earth Engine for geo-big data applications: A meta-analysis and systematic review,” ISPRS J. Photogramm. Remote Sens., vol. 164, pp. 152–170, Jun. 2020, doi: 10.1016/j.isprsjprs.2020.04.001.
  21. Prasai, R. (2022a). An open-source web-based tool to perform spatial multicriteria analysis. International Journal of Multidisciplinary Research and Growth Evaluation, 297–301. https://doi.org/10.54660/anfo.2022.3.3.19
  22. M. Rahman, S. Iqbal, and J. Gao, “Load Balancer as a Service in Cloud Computing,” in 2014 IEEE 8th International Symposium on Service Oriented System Engineering, Apr. 2014, pp. 204–211. doi: 10.1109/SOSE.2014.31.
  23. C. Singh, N. S. Gaba, M. Kaur, and B. Kaur, “Comparison of Different CI/CD Tools Integrated with Cloud Platform,” in 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Jan. 2019, pp. 7–12. doi: 10.1109/CONFLUENCE.2019.8776985.
  24. Prasai, R. (2022b). Earth engine application to retrieve long-term terrestrial and aquatic time series of satellite reflectance data. International Journal of Multidisciplinary Research and Growth Evaluation, 165–171. https://doi.org/10.54660/anfo.2022.3.3.11
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing data storage users service provider software hardware

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