The paper introduces a global call graph that spans both the platform and application sides of serverless functions, uses a GAT-based autoencoder to score node deviations, and reaches 91.5% top-k root cause accuracy on two benchmarks.
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FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications
The paper introduces a global call graph that spans both the platform and application sides of serverless functions, uses a GAT-based autoencoder to score node deviations, and reaches 91.5% top-k root cause accuracy on two benchmarks.