Extend L4SBOA Prototype for DICOM Imaging Use Case

[ASHISH-JHA94]

I propose extending the L4SBOA simulation prototype to evaluate its performance for DICOM imaging, a high-volume, latency-tolerant telehealth application. This will help assess L4S's suitability for transferring large medical imaging files.

Proposed Plan

1. Understand Current Prototype:
   • Review the existing implementation and run the prototype.
2. Extend for DICOM Imaging:
   • Add a traffic model for DICOM file transfers using bulk data simulation.
   • Integrate L4S congestion control (e.g., DualQ PI2) and queuing disciplines.
   • Simulate network conditions (e.g., latency, packet loss, congestion).
3. Add Metrics and Evaluation:
   • Collect metrics like transfer time, throughput, and packet loss.
   • Compare L4S performance with non-L4S configurations.
   • Visualize results using Python libraries (e.g., Matplotlib).
4. Test and Validate:
   • Validate the prototype against real-world DICOM transfer benchmarks.
   • Debug and optimize as needed.
5. Document and Share:
   • Update documentation with setup and usage instructions.
   • Submit a pull request with the enhancements.

Expected Outcomes

• A prototype extended for DICOM imaging.
• Performance evaluation results for L4S in DICOM transfers.
• Documentation and visualizations.

[pradeeban]

Sounds good!