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A Review of Cost Management Approaches in Cloud Computing

Authors

Pradip Ghanty

Assistant Professor & Coordinator, Department of Computer Science, Asansol Girls’ College, Asansol, West Bengal, India (IN)

Ankit Pandey

Final Year Students of B. Tech in Computer Science and Engineering (Data Science), Kazi Nazrul University, Asansol, West Bengal, India. (IN)

Rounak Bhardwaj

Final Year Students of B. Tech in Computer Science and Engineering (Data Science), Kazi Nazrul University, Asansol, West Bengal, India. (IN)

Keshab Mondal

Final Year Students of B. Tech in Computer Science and Engineering (Data Science), Kazi Nazrul University, Asansol, West Bengal, India. (IN)

Ritesh Choudhry

Final Year Students of B. Tech in Computer Science and Engineering (Data Science), Kazi Nazrul University, Asansol, West Bengal, India. (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2025.1411000084

Subject Category: Computer Science

Volume/Issue: 14/11 | Page No: 890-898

Publication Timeline

Submitted: 2025-12-18

Published: 2025-12-18

Abstract

Cloud computing has revolutionized the IT industry by offering scalable and on-demand resources under a pay-as-you-go model. However, the same flexibility that makes cloud computing attractive also introduces challenges in managing costs effectively. Cloud Cost Management (CCM) focuses on monitoring, analyzing and optimizing expenditure to achieve an ideal balance between performance and affordability. This paper reviews existing cost management strategies, techniques, and tools used across different cloud environments. It highlights traditional budgeting and monitoring methods, advanced optimization models using machine learning, and automation through FinOps practices. There view also identifies current challenges such as complex pricing structures, lack of cost visibility in multi-cloud environments, and unpredictable billing patterns. Finally, the paper discusses emerging trends and future research directions aimed at intelligent and sustainable cost optimization in cloud ecosystems.

Keywords

Computer Science

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References

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