Preview of Auto scaling and Cost prediction in Serverless Computing Applications

Authors

  • Pooja Kumari Jha Research Scholar, Dr APJ Abdul Kalam University, Indore
  • Dr Deepika Pathak Professor, Dr APJ Abdul Kalam University, Indore

DOI:

https://doi.org/10.31305/rrijm.2025.v10.n6.042

Keywords:

Auto scaling, Cost prediction, Serverless, FaaS

Abstract

Server less computing is emerging as a new and compelling paradigm for the deployment of cloud applications, largely due to the recent shift of enterprise application architectures to containers and micro services. Using server less gives pay-as-you-go without additional work to start and stop server and is closer to original expectations for cloud computing to be treated like as a utility. Developers using server less computing can get cost savings and scalability without needing to have a high level of cloud computing expertise that is time-consuming to acquire. Server less computing is a platform that hides server usage from developers and runs code on-demand automatically scaled and billed only for the time the code is running. A study has been conducted by us about the various techniques of auto scaling in serverless applications. Also, the cost prediction methods are discussed in detail in the report. In cloud computing applications, the cost prediction for usage and auto scaling is also studied by the team. The detail about the pricing models, various types of costs and methods of auto scaling is elaborated here. The objective and conclusion of the study is also mentioned.

References

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Published

16-06-2025

How to Cite

Jha, P. K., & Pathak, D. (2025). Preview of Auto scaling and Cost prediction in Serverless Computing Applications. RESEARCH REVIEW International Journal of Multidisciplinary, 10(6), 359–364. https://doi.org/10.31305/rrijm.2025.v10.n6.042