Materials chemistry at Nankai University: A special issue dedicated to the 100th anniversary of Nankai University

Abstract

Proactive failure detection of instances is vitally essential to microservice systems because an instance failure can propagate to the whole system and degrade the system's performance. Over the years, many single-modal (i.e., metrics, logs, or traces) data-based anomaly detection methods have been proposed. However, they tend to miss a large number of failures and generate numerous false alarms because they ignore the correlation of multimodal data. In this work, we propose AnoFusion, an unsupervised failure detection approach, to proactively detect instance failures through multimodal data for microservice systems. It applies a Graph Transformer Network (GTN) to learn the correlation of the heterogeneous multimodal data and integrates a Graph Attention Network (GAT) with Gated Recurrent Unit (GRU) to address the challenges introduced by dynamically changing multimodal data. We evaluate the performance of AnoFusion through two datasets, demonstrating that it achieves the 𝐹 1 -score of 0.857 and 0.922, respectively, outperforming the state-of-the-art failure detection approaches. CCS CONCEPTS• Software and its engineering → Maintaining software; • Computing methodologies → Failure Detection; Graph Neural Networks.

Identification of four novel flavonoid adducts in Arabidopsis thaliana (L.) exposed to isobutyl S-2-diethylaminoethyl methylphosphonothiolate as potential plant exposure biomarkers

“…Screening and structural deducing of phosphonyl modied avonoids in Arabidopsis thaliana (L.) exposed to iBuVX by HRMS Flavonoids, a kind of secondary metabolites of plants, are widely existed in different plants. [16][17][18][19] Flavonoids contain a lot of active hydroxyls which may react with nerve agents to produce potential biomarkers. In this article, LC-HRMS was used to analyse avonoids in Arabidopsis thaliana (L.) which was not exposed to iBuVX.…”

“…In this article, LC-HRMS was used to analyse avonoids in Arabidopsis thaliana (L.) which was not exposed to iBuVX. Three avonoids (compound 1, compound 2 and compound 3) were identied [16][17][18][19] in which compound 3 was the most abundant and compound 1 was the least in the leaves (extracted ion chromatograms (EICs) of [M + H] + were shown in Fig. 1(a)).…”