Prompt Identification: Service Outage Prediction through Anomaly Detection
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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Case Studies | Computer Science and Information Technology | United States of America | Volume 13 Issue 11, November 2024 | Popularity: 5 / 10


     

Prompt Identification: Service Outage Prediction through Anomaly Detection

Binoj Melath Nalinakshan Nair


Abstract: Anomaly detection is the process of identifying unusual patterns or behaviors in data that do not conform to expected norms. These anomalies, often referred to as outliers, can indicate significant events such as fraud, network intrusions, equipment failures, or operational issues. Overall, anomaly detection is a crucial tool for maintaining system integrity and enhancing decision - making across various industries.


Keywords: Oracle Cloud, OCI Anomaly detection, service disruption


Edition: Volume 13 Issue 11, November 2024


Pages: 149 - 152


DOI: https://www.doi.org/10.21275/SR241101214037



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Binoj Melath Nalinakshan Nair, "Prompt Identification: Service Outage Prediction through Anomaly Detection", International Journal of Science and Research (IJSR), Volume 13 Issue 11, November 2024, pp. 149-152, https://www.ijsr.net/getabstract.php?paperid=SR241101214037, DOI: https://www.doi.org/10.21275/SR241101214037