Telemetry: A Packet Centric Lens¶
Overview¶
Understanding network behavior at the packet level provides unprecedented visibility into performance bottlenecks and optimization opportunities.
Note
This project develops packet-centric telemetry tools that integrate with EdgeRIC for fine-grained network analysis.
Motivation¶
Traditional telemetry approaches aggregate data, losing critical timing and ordering information. A packet-centric approach preserves:
Per-packet latency distributions
Queue dynamics and buffer occupancy
Scheduling decision impacts
Cross-layer correlations
Key Features¶
Real-time Packet Tracing¶
Capture and analyze packets as they traverse the RAN stack with minimal overhead.
Causal Analysis¶
Link packet-level events to scheduling decisions and network conditions.
Visualization Tools¶
Interactive dashboards for exploring packet traces and identifying patterns.
Integration with EdgeRIC¶
The telemetry system provides:
Input features for ML-based μApps
Ground truth for policy evaluation
Debugging and diagnostics capabilities
Results¶
Coming soon