A joint prediction-alerting and scheduling architecture named STG-SPOT, aiming to break down operational silos in data centers and build an end-to-end intelligent autonomous closed loop, provides a highly efficient engineering paradigm for modern computing centers to handle heavy-tail bursts and achieve high-availabili...
Multivariate time-series anomaly detection is central to modern cyber-physical and cloud monitoring systems. While most detectors rely solely on sensor or telemetry streams, operational anomalies are often accompanied by textual evidence such as logs. This paper presents a conditional multimodal framework for time-seri...
Bo-Xuan Wang, Meng-Yao Du, Miao Zhang et al.· 2026 12th International Conf...· 0 citations
A unified online log anomaly detection framework, FLMLog, which is based on federated Learning and large language model, and adopts a prefix-aware in-context learning (ICL) refinement strategy, which achieves an improvement in prefix caching efficiency.
Shuai Xu· Poster Volume 0008 The 2026...· 0 citations
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