Disaggregated Flink State AI Anomaly Detection, Slow‑Query Ranking (VLDB 2025)
At VLDB 2025, three Alibaba Cloud papers were accepted: one introduces a disaggregated state‑management architecture for Flink 2.0 that separates storage from compute, another presents a cross‑contrastive learning framework for unsupervised Flink anomaly detection, and the third proposes a multimodal ranking system for identifying root causes of slow queries in cloud databases.
