Cloud Brokerage and Cost Optimization: An Empirical Study of Cloud Cost Saving

Cloud Brokerage and Cost Optimization: An Empirical Study of Cloud Cost Saving

Authors

  • Aniket Surkunde
  • Diven Gardas
  • Krishna Dharrao
  • Shubham Shinde
  • Dr. Syed Irfan

Keywords:

Green computing, server virtualization, eco-labeling, cloud brokerage, cost optimization

Abstract

Green cloud computing is a hot topic in the IT industry due to the rising demand for large data storage and computational power. The innovative use of cloud computing to virtualize servers and data centers has made it possible to save energy and make the most of IT resources. Nonetheless, the enormous power utilization of these assets has brought about energy deficiencies and ecological worries. Green Cloud Computing aims to provide solutions that promote sustainability while simultaneously reducing operational costs and energy consumption.

In the IT sector, green IT plays a crucial role in addressing environmental issues. It includes energyefficient resources, server virtualization, data center design, eco-labeling, sustainability design, power management, and recycling methods. The purpose of this review is to provide a brief overview of the various Green IT application areas, followed by a discussion of Cloud and Green Computing.

Through a comparative analysis of Green IT fields, this review identifies green IT-related research issues, including objectives, challenges, and potential solutions. It emphasizes the importance of sustainable IT practices, which have the potential to benefit the IT industry and the environment over time. Businesses and organizations can significantly reduce their carbon footprint, promote sustainability, and contribute to a better future by implementing Green IT practices.

Downloads

Download data is not yet available.

References

Chang, V., Ramachandran, M., & Nepal, S. (2019). The effectiveness of a cloud brokerage platform in reducing cloud costs and improving performance in a healthcare setting. Future Generation Computer Systems, 92, 369-381. https://doi.org/10.1016/-j.future.2018.09.016

Vasan, A., Hester, V., & Subramanian, R. (2018). Evaluating cloud brokerage architectures in financial services firms. Journal of Cloud Computing, 7(1), 1-15. https://link.springer.com/article/10.1186/s13677018-0115-5

Sushil, M. K., Rana, N. P., Dwivedi, Y. K., & Gupta, A. (2020). Cloud computing adoption in healthcare: A systematic review of empirical research. International Journal of Information Management, 50, 169-185. https://doi.org/10.1016/j.ijinfomgt.2019.-08.010

Rahman, M. M., Abdel-Basset, M., Nafi, N. S., Alnuaimi, O. A., & Hussain, A. J. (2021). Cloud computing adoption in financial services: An empirical investigation. Technological Forecasting and Social Change, 165, 120521. https://doi.org/10.1016/-j.techfore.2020.120 521

Tan, B., Lu, Y., Wu, Z., Zhang, L., & Yao, L. (2021). Investigating cloud brokerage adoption for cost savings: The role of the selection of cloud services and providers. Journal of Business Research, 130, 714-725. https://doi.org/10.1016/j.jbusres.-2021.01.030

Alothman, M. A. (2020). Cloud brokerage: a systematic review. Journal of Cloud Computing, 9(1), 1-15. https://doi.org/10.1186/s13677-020-00185-9

Kotsovinos, E. (2019). Cloud services brokerage: A systematic review. Journal of Systems and Software, 155, 1-20. https://doi.org/10.1016/j.jss.2019.04.064

Kumar, R., Gupta, M., & Ahsan, A. (2021). Adoption of cloud brokerage services in SMEs: a multi-stakeholder perspective. Journal of Cloud Computing, 10(1), 1-20. https://doi.org/10.1186/s13677-021-00232-y

Wu, L., Ding, S., Liang, B., & Li, M. (2019). Dynamic cloud services selection and composition: a survey. Journal of Network and Computer Applications, 123, 114-127. https://doi.org/10.1016/j.jnca.2018.10.008

Additional Files

Published

30-05-2023

How to Cite

Aniket Surkunde, Diven Gardas, Krishna Dharrao, Shubham Shinde, & Dr. Syed Irfan. (2023). Cloud Brokerage and Cost Optimization: An Empirical Study of Cloud Cost Saving. Vidhyayana - An International Multidisciplinary Peer-Reviewed E-Journal - ISSN 2454-8596, 8(si7), 650–659. Retrieved from https://vidhyayanaejournal.org/journal/article/view/849
Loading...