Resource Management in AI-Enabled Cloud Native Databases: A Systematic Literature Review Study


  • Shantanu Kumar, Shruti Singh, Harshavardhan Nerella


Resource Management; Artificial Intelligence; Cloud Native Databases; Digital Transformation.


In the face of digital transformation, organizations are currently grappling with the differences between new and classic business models, which require agile, adaptable, personalized, and intelligent approaches. Cloud-native, as a novel technological idea, plays a crucial role in assisting organizations in constructing and operating adaptable and expandable applications in modern dynamic environments, including public, private, and hybrid clouds. Cloud-native offers several benefits, including enhanced performance, optimized resource utilization, reduced operational expenses, and improved scalability. The main aim of this work is to investigate resource management in cloud-native databases that are enabled by artificial intelligence. The research methodology utilized in this study is a comprehensive literature review. This study conducted a comprehensive analysis of 30 scholarly papers sourced from various online academic databases spanning the period from 2018 to 2024. Based on this research, efficiently managing resources in AI-enabled cloud-native databases is crucial for enterprises seeking to harness the potential of artificial intelligence while optimizing productivity and reducing expenses. The results of this study assist database developers in choosing suitable objectives and devising strategies for enhancing AI-enabled Cloud-native databases.


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How to Cite

Shantanu Kumar. (2024). Resource Management in AI-Enabled Cloud Native Databases: A Systematic Literature Review Study. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 3621 –. Retrieved from



Research Article