AI-Driven Predictive Performance Bottleneck Detection in Mission-Critical  Financial Systems

Hariprasad Pandian

AI-Driven Predictive Performance Bottleneck Detection in Mission-Critical Financial Systems

Authors

Hariprasad Pandian

Keywords:

Predictive Performance Monitoring, Mission-Critical Financial Systems, Long Short Term Memory (LSTM), Bottleneck Detection, Anomaly Detection.

Abstract

Financial systems that are mission-critical still suffer from cascading performance bottleneckscenarios where unplanned downtime results in significant financial losses per minute, revealing fundamental shortcomings in traditional rule-based monitoring methods.

References

Li, X.; Tang, P. Stock Index Prediction Based on Wavelet Transform and FCD-MLGRU. J. Forecast. 2020, 39, 1229–1237. [Google Scholar] [CrossRef]

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Published

2022-03-10

How to Cite

Hariprasad Pandian. (2022). AI-Driven Predictive Performance Bottleneck Detection in Mission-Critical Financial Systems . Journal of Computational Analysis and Applications (JoCAAA), 30(2), 1019–1033. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5006