%0 Journal Article %1 noauthororeditor %A |, Arjun Reddy Kunduru %D 2023 %J CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES %K Artificial Intelligence %N 8 %P 42-47 %T ARTIFICIAL INTELLIGENCE USAGE IN CLOUD APPLICATION PERFORMANCE IMPROVEMENT %U https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/491/552 %V 4 %X The rapid proliferation of cloud computing has transformed the way businesses and organizations deploy and manage their applications. Ensuring optimal performance of these applications in the cloud environment is critical for achieving high levels of user satisfaction and operational efficiency. Artificial Intelligence (AI) has emerged as a powerful tool for enhancing cloud application performance by leveraging data-driven insights and automation. This paper explores the various ways in which AI is being used to improve cloud application performance, including resource allocation, predictive scaling, anomaly detection, and intelligent load balancing. Through an in-depth analysis of these techniques, this paper highlights the benefits, challenges, and future prospects of incorporating AI into cloud application performance optimization.

@article{noauthororeditor, abstract = {The rapid proliferation of cloud computing has transformed the way businesses and organizations deploy and manage their applications. Ensuring optimal performance of these applications in the cloud environment is critical for achieving high levels of user satisfaction and operational efficiency. Artificial Intelligence (AI) has emerged as a powerful tool for enhancing cloud application performance by leveraging data-driven insights and automation. This paper explores the various ways in which AI is being used to improve cloud application performance, including resource allocation, predictive scaling, anomaly detection, and intelligent load balancing. Through an in-depth analysis of these techniques, this paper highlights the benefits, challenges, and future prospects of incorporating AI into cloud application performance optimization.}, added-at = {2024-02-26T11:09:18.000+0100}, author = {|, Arjun Reddy Kunduru}, biburl = {https://www.bibsonomy.org/bibtex/22fe878302c2c1f851691268d2840cfe9/centralasian_20}, interhash = {bddc1b8630d5a2c6944d13e2b0d0e58c}, intrahash = {2fe878302c2c1f851691268d2840cfe9}, issn = {2660-5309}, journal = {CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES}, keywords = {Artificial Intelligence}, language = {english}, month = aug, number = 8, pages = {42-47}, timestamp = {2024-02-26T11:09:18.000+0100}, title = {ARTIFICIAL INTELLIGENCE USAGE IN CLOUD APPLICATION PERFORMANCE IMPROVEMENT}, url = {https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/491/552}, volume = 4, year = 2023 }