VLDB 2025 — 2 Technical Articles

Aug 31, 2025 · Big Data

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.

Cross Contrastive LearningDisaggregated State ManagementFlink

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Disaggregated Flink State AI Anomaly Detection, Slow‑Query Ranking (VLDB 2025)

Alibaba Cloud Big Data AI Platform

Jul 25, 2025 · Big Data

Cross-Contrastive Learning Cuts Flink Anomaly Detection Errors by 12%

The paper “Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection”, accepted at VLDB 2025, introduces a novel cross‑contrastive method that leverages attention‑based representations and a boundary‑aware loss to detect Flink‑specific hotspot anomalies, achieving a 12.1% F1 improvement over state‑of‑the‑art techniques.

Cross-Contrastive LearningFlinkNoise Matters

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Cross-Contrastive Learning Cuts Flink Anomaly Detection Errors by 12%