Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Study Papers | Computer Science and Information Technology | United States of America | Volume 14 Issue 1, January 2025 | Popularity: 5.1 / 10


     

Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation

Binoj Melath Nalinakshan Nair


Abstract: With cloud services becoming central to business operations, optimizing costs is a priority. This study explores how anomaly detection, powered by machine learning, identifies inefficiencies in cloud resource usage. By integrating anomaly detection with event - driven automation, organizations can proactively address issues, reduce costs, and improve operational efficiency.


Keywords: Cloud management, cost optimization, machine learning, automation frameworks, cloud efficiency


Edition: Volume 14 Issue 1, January 2025


Pages: 533 - 536


DOI: https://www.doi.org/10.21275/SR25111050909


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Binoj Melath Nalinakshan Nair, "Optimizing Cloud Costs with Anomaly Detection and Event-Driven Automation", International Journal of Science and Research (IJSR), Volume 14 Issue 1, January 2025, pp. 533-536, https://www.ijsr.net/getabstract.php?paperid=SR25111050909, DOI: https://www.doi.org/10.21275/SR25111050909

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