Gleaner replaces slow graph-based trace analysis with bag-of-edges set operations plus log semantics and alarm-driven diversity to deliver faster, higher-fidelity sampling that improves RCA accuracy even at 1% rates.
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2026 3verdicts
UNVERDICTED 3representative citing papers
TORAI finds fine-grained root causes in microservice failures with blind spots by measuring anomaly severity from multi-source telemetry, clustering services by symptoms, ranking via causal analysis within clusters, and aggregating with hypothesis testing.
A new taxonomy for dynamics-aware microservice management, synthesized from 84 systems, finds that production dynamics are often only partially modeled and that reported performance gains depend on evaluation realism.
citing papers explorer
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Gleaner: A Semantically-Rich and Efficient Online Sampler for Microservice Diagnostics
Gleaner replaces slow graph-based trace analysis with bag-of-edges set operations plus log semantics and alarm-driven diversity to deliver faster, higher-fidelity sampling that improves RCA accuracy even at 1% rates.
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TORAI: Multi-source Root Cause Analysis for Blind Spots in Microservice Service Call Graph
TORAI finds fine-grained root causes in microservice failures with blind spots by measuring anomaly severity from multi-source telemetry, clustering services by symptoms, ranking via causal analysis within clusters, and aggregating with hypothesis testing.
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Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions
A new taxonomy for dynamics-aware microservice management, synthesized from 84 systems, finds that production dynamics are often only partially modeled and that reported performance gains depend on evaluation realism.