An Explainable Causal Temporal Framework for Failure Prediction in Event Driven Distributed Systems Using Logs, Metrics, Traces, and Event Streams
Keywords:
Causal Failure Prediction, Event-Driven Systems, Distributed Systems, Logs, Metrics, Traces, Event Streams, Explainable AI, LSTM, Transformer, Causal Graph Neural Network, Predictive Reliability ManagementAbstract
Distributed systems based on events are becomingmore problematic in terms of their reliability as a resultof the growing complexity of interactions betweenmicroservices, message queues, databases, andinfrastructure elements. This study presents an Explainable Causal Temporal Failure PredictionFramework, a combination of logs, metrics
References
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