Network Protocol & Congestion Modeling
Provided deep visibility into low-level network behavior, enabling validation of emerging high-performance protocols under realistic workloads.
Situation
Next-generation workloads, particularly AI/ML training, required near-memory-speed communication across distributed systems. Traditional testing environments could not replicate these conditions at scale.
Solution
Engineered detailed protocol and congestion models within the simulation framework to enable precise evaluation of protocol performance under extreme conditions.
OUTCOMES
Challenges
Transport
- •RDMA modeling gaps
Congestion
- •Congestion modeling gaps
Lossless
- •Flow-control modeling gaps
Scaling
- •GPU traffic complexity
Solutions
Transport Protocol Modeling
Modeling of advanced transport protocols and custom communication patterns.
- Modeled RDMA and custom transports
- Represented latency-sensitive communication paths
Congestion Propagation Simulation
Simulation of congestion propagation and backpressure across network fabrics.
- Simulated fabric-wide congestion dynamics
- Modeled backpressure behavior realistically
- Supported bottleneck sensitivity testing
Lossless Networking Emulation
Emulation of lossless networking behaviors, with pause frame dynamics.
- Simulated pause frame propagation
- Modeled lossless switching environments
- Validated deterministic delivery scenarios
High-Stress Performance Testing
Stress testing under high-throughput, latency-sensitive workloads.
- Executed high-load simulation scenarios
- Evaluated latency-sensitive performance behavior