Enhancing Cloud Computing Efficiency Through Scalable Architecture and Robust Security Frameworks for Privacy Protection

Chang gu lee

Authors

Chang gu lee Researcher Author

Keywords:

Cloud Computing, Cloud Architecture, Cloud Security, Privacy Protection, Scalable Systems, Cloud Infrastructure

Abstract

Cloud computing has transformed IT infrastructures by offering scalable resources and cost-efficient services. However, ensuring optimal efficiency while maintaining security and privacy remains a critical challenge. This paper explores methods for enhancing cloud efficiency through scalable architecture and robust security frameworks. It examines key architectural strategies, including microservices and serverless computing, while assessing security mechanisms such as encryption, identity management, and intrusion detection systems. A detailed literature review presents existing research contributions before 2024, highlighting technological advancements and challenges. The study further provides empirical data through graphs, charts, and models to illustrate the impact of architectural and security improvements in cloud environments.

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