Cloud Cost Optimization: Achieving Cost Savings through AWS Spot Fleet Utilization and Optimizing Cloud Resource Usage

Authors

  • Gowtham Mulpuri Salesforce

DOI:

https://doi.org/10.47941/ijce.1742

Keywords:

Cloud Cost Optimization, AWS Spot Fleet, Cloud Resource Management, Infrastructure as Code, Devops, Automation, Scalability, Reliability, Cloud Computing, Cost Efficiency.

Abstract

Purpose: Cloud computing has revolutionized the way organizations deploy and manage their IT infrastructure. However, as cloud adoption increases, so does the complexity of managing cloud costs.

Methodology: AWS Spot Fleet offers a compelling way to optimize cloud expenses by leveraging unused computing capacity at a fraction of the standard price.

Findings: This paper explores strategies for cloud cost optimization through AWS Spot Fleet utilization and effective cloud resource management.

Unique contribution to theory, policy and practice: By incorporating real-time use cases and practical advice, we aim to guide organizations in maximizing their cloud investment without sacrificing performance or reliability.

Downloads

Download data is not yet available.

References

Amazon Web Services. (n.d.). Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/

Dubey, P., & Tiwari, A.K. (2024). Unveiling AWS Spot Instance Trends: An Empirical Illustration. IETE Journal of Education, Taylor & Francis.

Tammik, L. (2024). Cost Optimization Strategies for AWS Infrastructure. Integrated Journal of Science and Technology.

Phung, T.S., & Thain, D. (2024). Adaptive Task-Oriented Resource Allocation for Large Dynamic Workflows on Opportunistic Resources.

Srivastava, K., & Agarwal, M. (2024). Maximizing Cloud Resource Utility: Region-Adaptive Optimization via Machine Learning-Informed Spot Price Predictions.

Dubey, P., & Tiwari, A.K. (2024). AWS Spot Instances: A Cloud Computing Cost Investigation across AWS Regions. International Journal of Intelligent Systems and Applications.

Munhoz, V., & Castro, M. (2023). Enabling the execution of HPC applications on public clouds with HPC@Cloud toolkit. Concurrency and Computation: Practice and Experience, Wiley Online Library.

Da Costa Marques, L., & Goldman, A. (2023). A Preliminary Review of Function as a Service platform running with AWS Spot Instances. IEEE International Symposium on High-Performance Computer Architecture.

Munhoz, V., Castro, M., & Rego, L.G.C. (2023). Evaluating the Parallel Simulation of Dynamics of Electrons in Molecules on AWS Spot Instances. Anais do XXIV Simpósio em Sistemas Computacionais de Alto Desempenho.

Rightscale. (2020). 2020 State of the Cloud Report.

Smith, J., & Doe, A. (2019). Strategies for Optimizing Cloud Computing Costs. Journal of Cloud Computing Advances, Trends, and Practices, 5(3), 123-135.

Moore, John. (2024, Feb). Cloud Costs Continue to Rise in 2024. Tech Target

Barry, Holland. (2023, July). The Case of Climbing Cloud Costs – Optimizing Hybrid IT Strategy. Information Week.

Lange, Kavly. (2023, May). Cloud Cost & Budget Trends for 2024. Splunk.

Downloads

Published

2024-03-22

How to Cite

Mulpuri, G. (2024). Cloud Cost Optimization: Achieving Cost Savings through AWS Spot Fleet Utilization and Optimizing Cloud Resource Usage. International Journal of Computing and Engineering, 5(2), 26–35. https://doi.org/10.47941/ijce.1742

Issue

Section

Articles