ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM110
doi: 10.71141/30485037/ICETETI-MSM110

Advanced Techniques in Cloud Database Management: Automating Security and Performance Enhancements

Sophie Miller, Muhammadu Sathik Raja Sathik Raja M.S

Citation:
Sophie Miller, Muhammadu Sathik Raja Sathik Raja M.S, "Advanced Techniques in Cloud Database Management: Automating Security and Performance Enhancements" International Journal of Multidisciplinary on Science and Management, pp. 86-94, 2024.

Abstract:
Cloud database management has emerged as a crucial component in modern computing environments due to its ability to provide scalable, efficient, and secure data storage solutions. This paper explores advanced techniques for automating security and performance enhancements in cloud database management systems (DBMS). We examine the latest trends in database automation, covering encryption, access control, anomaly detection, workload optimization, and self-healing mechanisms. Additionally, we discuss the use of machine learning and artificial intelligence in predictive analysis and proactive performance tuning. The study presents a comparative analysis of traditional versus automated security models, followed by an evaluation of real-world case studies demonstrating the effectiveness of automation in cloud database management. The findings indicate that integrating automation significantly reduces human intervention while ensuring higher security standards and optimized performance.

Keywords: Cloud Database Management, Automation, Security, Performance Enhancement, AI-Driven Optimization, Machine Learning, Encryption, Self-Healing Systems.

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