Entity-level heterogeneity creates asymmetric fault propagation dominated by service-host interactions, and NexusRCL captures this via heterogeneous graphs and active learning to improve top-1 accuracy by up to 49.85%.
Stl: A seasonal-trend decomposition procedure based on loess.J Off Stat, 6:3–73
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Which Types of Heterogeneity Matter for Root Cause Localization in Microservice Systems ?
Entity-level heterogeneity creates asymmetric fault propagation dominated by service-host interactions, and NexusRCL captures this via heterogeneous graphs and active learning to improve top-1 accuracy by up to 49.85%.