Proposes an integrated self-healing DBMS using MAML for few-shot anomaly detection, GNNs for dependency-based cascade prediction, and multi-objective RL for recovery, reporting high performance on cluster and TPC data.
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2025 1verdicts
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Efficient and Scalable Self-Healing Databases Using Meta-Learning and Dependency-Driven Recovery
Proposes an integrated self-healing DBMS using MAML for few-shot anomaly detection, GNNs for dependency-based cascade prediction, and multi-objective RL for recovery, reporting high performance on cluster and TPC data.