Advancing Cloud Computing Architectures: Boosting Scalability, Security, and Innovation in Enterprise Applications During Digital Transformation
Keywords:
Cloud computing, enterprise IT infrastructure, digital transformation, hybrid cloud, multi-cloud, serverless computing, cybersecurity, scalability, cloud architecture trendsAbstract
Cloud computing has continuously evolved, reshaping the scalability, agility, and security of enterprise applications. As businesses transition to cloud-based infrastructures, emerging architectures such as hybrid cloud, multi-cloud, and serverless computing have become instrumental in fostering innovation. This paper traces the historical development of cloud computing architectures, examines their impact on enterprise application scalability, and explores the security challenges posed by digital transformation. Through an extensive review of existing literature and trend analysis, this study offers valuable insights into advancements in cloud architectures, associated security risks, and best practices for enterprises. Additionally, it presents statistical analyses and graphical representations of key cloud computing trends, providing a comprehensive overview of the field
References
Armbrust, M., et al. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
Omkar Reddy Polu. (2024). AI-Driven Prognostic Failure Analysis for Autonomous Resilience in Cloud Data Centers. International Journal of Cloud Computing (IJCC), 2(2), 27–37. doi: https://doi.org/10.34218/IJCC_02_02_003
Buyya, R., Yeo, C. S., & Venugopal, S. (2011). Market-oriented cloud computing. Future Generation Computer Systems, 25(6), 599-616.
Omkar Reddy Polu, Cognitive Cloud-Orchestrated AI Chatbots For Real-Time Customer Support Optimization, International Journal of Computer Applications (IJCA), 5(2), 2024, pp. 20–29 doi: https://doi.org/10.34218/IJCA_05_02_003
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. NIST Special Publication.
Omkar Reddy Polu, AI Optimized Multi-Cloud Resource Allocation for Cost-Efficient Computing, International Journal of Information Technology (IJIT), 5(2), 2024, pp. 26-33 doi: https://doi.org/10.34218/IJIT_05_02_004
Srinivasagopalan, L. N. (2023). Evaluating Healthcare Insurance Through Integrated Frameworks: Implications for Equity and Social Justice in Public Health. Frontiers in Health Informatics, 12, 6920–6932.
Zissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future Generation Computer Systems, 28(3), 583-592.
Omkar Reddy Polu, Machine Learning for Predicting Software Project Failure Risks, International Journal of Computer Engineering and Technology (IJCET), 15(4), 2024, pp. 950-959.
Srinivasagopalan, L. N., Daniel, D. A., & Velmurugan, J. P. (2022). Improving Health System Performance Using Risk Pooling Mechanism: Case Study. International Journal on Recent and Innovation Trends in Computing and Communication, 10(6), 121–129.
Omkar Reddy Polu, Reinforcement Learning for Autonomous UAV Navigation: Intelligent Decision-Making and Adaptive Flight Strategies, International Journal of Graphics and Multimedia (IJGM) 11(2), 2024, pp. 17-27 doi: https://doi.org/10.34218/IJGM_11_02_002
Villamizar, M., et al. (2015). Evaluating the impact of microservices architecture. Journal of Cloud Computing, 4(1), 1-18.
Omkar Reddy Polu. (2024). AI-Based Fake News Detection Using NLP. International Journal of Artificial Intelligence & Machine Learning, 3(2), 231–239. doi: https://doi.org/10.34218/IJAIML_03_02_019
Sahni, J., et al. (2017). Security and privacy in cloud computing. Computer Networks, 120, 86-102.
Srinivasagopalan, L. N. (2023). Predicting health insurance premiums using machine learning: A novel regression-based model for enhanced accuracy and personalization. World Journal of Advanced Research and Reviews, 19(01), 1580–1592.
Fernandez, E. B., et al. (2018). Security patterns in cloud computing. Computers & Security, 74, 98-118.
Ali, M., et al. (2019). Cost optimization strategies in cloud computing. IEEE Access, 7, 842-859.
Xie, J., et al. (2020). AI-driven security analytics for cloud computing. Journal of Cybersecurity, 5(1), 35-49.
Srinivasagopalan, L. N. (2023). Understanding the link between healthcare coverage literacy and policyholder outcomes in a rapidly changing global healthcare landscape. Nanotechnology Perceptions, 19(3), 142–155.
Sharma, R., et al. (2021). Multi-cloud security frameworks. ACM Computing Surveys, 54(3), 1-32.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Bhavani murugan (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.