Praxium detects anomalies in cloud microservices via telemetry and infers root causes from dependency installations using causal impact analysis, reporting >0.97 macro-F1 on synthetic data.
Unleashing Performance Insights with Online Probabilistic Tracing
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
DisCEdge manages LLM context in tokenized form replicated on edge nodes, delivering up to 14.46% faster median responses, 15% lower sync overhead, and 90% smaller client requests versus baselines while ensuring consistency.
citing papers explorer
-
Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis
Praxium detects anomalies in cloud microservices via telemetry and infers root causes from dependency installations using causal impact analysis, reporting >0.97 macro-F1 on synthetic data.
-
DisCEdge: Distributed Context Management for Large Language Models at the Edge
DisCEdge manages LLM context in tokenized form replicated on edge nodes, delivering up to 14.46% faster median responses, 15% lower sync overhead, and 90% smaller client requests versus baselines while ensuring consistency.