Optimizing Cloud Computing Performance with Advanced DBMS Techniques: A Comparative Study
Janardhana Rao Sunkara, Sanjay Bauskar, Chandrakanth Madhavaram, Eswar Prasad Galla, Hemanth Kumar Gollangi
Abstract
In the era of digital transformation, optimizing cloud computing performance has become a critical focus for organizations striving to leverage the full potential of cloud infrastructures. This study presents a comparative analysis of advanced database management system (DBMS) techniques aimed at enhancing cloud computing performance. By examining a range of strategies, including indexing optimizations, query performance tuning, data partitioning, and caching mechanisms, the research identifies key methodologies that can significantly impact efficiency and scalability in cloud environments. Through a series of tests and performance metrics, this study evaluates the effectiveness of these techniques across various cloud platforms and workloads. The findings provide valuable insights into which DBMS approaches offer the greatest benefits in terms of speed, resource utilization, and overall system performance. This comparative study not only highlights the strengths and weaknesses of different techniques but also offers practical recommendations for organizations seeking to optimize their cloud computing infrastructure. Published: 2023-12-21