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IEEE/ICACT20260142 Slide.28        [Big Slide]	Oral Presentation
	Let¡¯s wrap up with the main takeaways. In summary, we proposed an efficient playbook-based framework that integrates topology enrichment, time-series pattern detection, and profile-based anomaly analysis to investigate SLO violations in 5G OCS. Experiments confirm high detection accuracy and practical root-cause localization, reducing MTTR and supporting near-zero-downtime requirements. In the future, we will use RAG with LLM to auto-conclude the root cause from playbook results. We also target to build an AI-agent integrates with RAG and tools to auto-investigate instead of using predefined playbooks, which must be created for each specific case.

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