simulate_telemetry_stream
The challenge will be evaluated by assessing the functionality and robustness of the deployed AI service in detecting various simulated quantum network anomalies and providing relevant, actionable recommendations.
Evaluation overview
How the linked challenge is judged: tasks, benchmarks, and criteria count.
Task templates
Inputs and expected outputs.
simulate_telemetry_stream
Generates a stream of simulated quantum network telemetry data.
{ "anomaly_type": "noise", "duration_seconds": 300, "noise_level": 0.1 }
Stream of JSON objects to a specified Kafka topic.
query_anomaly_detection_service
Sends a query to the deployed BentoML service for anomaly detection status and recommendations.
{ "start_time": "2024-01-01T10:00:00Z", "end_time": "2024-01-01T10:05:00Z" }
{ "anomalies_detected": true, "anomaly_details": [...], "recommendations": "..." }