Cloud Computing Services for Mobile Applications

Authors

  • Dr. S. T. Patil  Professor, Vishwakarma Institute of Technology Pune, Maharashtra, India
  • Swarom Muley  Vishwakarma Institute of Technology Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT228555

Keywords:

Cloud Computing, iOS, Android, Compute, Storage

Abstract

Mobile applications are now dominating the marketplace, and the ease with which users can install and use the applications has also increased. To solve the problem of back-end infrastructure not being to handle high amounts of traffic generated by worldwide audiences, mobile developers now use cloud computing technologies. There are different options available in the market. In this research paper, we will go through the cloud service providers like AWS, Google Cloud, Oracle Cloud, and Microsoft Azure Cloud and compare their offerings.

References

  1. Microsoft Azure. (2022, September 29). In Wikipedia. https://en.wikipedia.org/wiki/Microsoft_Azure
  2. Google Cloud Platform. (2022, October 4). In Wikipedia. https://en.wikipedia.org/wiki/Google_Cloud_Platform
  3. Amazon Web Services. (2022, September 28). In Wikipedia. https://en.wikipedia.org/wiki/Amazon_Web_Services
  4. Oracle Cloud. (2022, July 28). In Wikipedia. https://en.wikipedia.org/wiki/Oracle_Cloud
  5. Android (operating system). (2022, October 6). In Wikipedia. https://en.wikipedia.org/wiki/Android_(operating_system)
  6. Usage share of operating systems. (2022, September 25). In Wikipedia. https://en.wikipedia.org/wiki/Usage_share_of_operating_systems
  7. Verma, Abhishek, et al. "Large-scale cluster management at Google with Borg." Proceedings of the Tenth European Conference on Computer Systems. 2015.
  8. Brendan Burns, Brian Grant, David Oppenheimer, Eric Brewer, and John Wilkes. 2016. Borg, Omega, and Kubernetes: Lessons learned from three container-management systems over a decade. Queue 14, 1 (January-February 2016), 70–93. https://doi.org/10.1145/2898442.2898444
  9. Verbitski, Alexandre & Bao, Xiaofeng & Gupta, Anurag & Saha, Debanjan & Brahmadesam, Murali & Gupta, Kamal & Mittal, Raman & Krishnamurthy, Sailesh & Maurice, Sandor & Kharatishvili, Tengiz. (2017). Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases. 1041-1052. 10.1145/3035918.3056101.
  10. Google. (n.d.). Cloud spanner  |  google cloud. Google. Retrieved October 6, 2022, from https://cloud.google.com/spanner
  11. Building Uber's fulfillment platform for planet-scale using google cloud spanner. Uber Blog. (2021, September 29). Retrieved October 6, 2022, from https://www.uber.com/en-IN/blog/building-ubers-fulfillment-platform/
  12. Engdahl, S. (2008). Blogs. Amazon. Retrieved October 6, 2022, from https://aws.amazon.com/blogs/database/reduce-database-cost-and-improve-availability-when-you-migrate-to-the-aws-cloud/
  13. Strand Street Press. (2002). S3. Amazon. Retrieved October 6, 2022, from https://aws.amazon.com/s3/storage-classes/glacier

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

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Published

2022-11-30

Issue

Volume 8, Issue 6, November-December-2022

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]
Dr. S. T. Patil, Swarom Muley, " Cloud Computing Services for Mobile Applications" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 6, pp.194-200, November-December-2022. Available at doi : https://doi.org/10.32628/CSEIT228555