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In this paper, we propose an efficient framework to investigate the root cause of SLO violation in the 5G Online Charging System with the following highlights.
The first contribution is a playbook-driven framework architecture for root cause investigation.
Then, we propose a method to enrich alarms with topology context from multiple sources.
We also propose algorithms for detecting time-series patterns and anomalies applied for real world problem in system operation.
Finally, we conduct experiments to demonstrate the efficiency of our investigative framework.
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