Model based assessment of network scaling risks including topology, SDN, routing, and fault tolerance.
Network infrastructure scaling involves interconnected decisions across topology design, SDN configuration, routing protocols, and fault tolerance mechanisms. Each can be modeled individually, but the structural risk emerges from their interaction at scale. A topology that provides excellent fault tolerance at current scale may interact with SDN routing policies to create structural vulnerabilities at target scale.
The structural problem is that network scaling risk is not the sum of component-level risks. It is an emergent property of how topology, routing, fault tolerance, and SDN control interact under the stress patterns of the target scale.
This application addresses network architecture planning for AI and HPC infrastructure, spanning physical topology design, SDN control plane configuration, routing protocol selection, and fault tolerance strategy. The relevant system boundary extends from switch-level connectivity through fabric-level topology to the SDN control plane that manages traffic engineering.
Network infrastructure represents a long-term commitment that is expensive to modify after deployment. Structural risk modeling for scaling scenarios prevents the costly situation where network investment fails to support the planned compute expansion due to emergent interaction effects.
The SORT framework addresses this application through four structural dimensions, each providing a distinct analytical layer.
Network scaling creates unexpected risk profiles.
Topology, SDN, and routing interact non-linearly at scale.
Model-based risk assessment for network scaling scenarios.
Network architecture, topology decisions, SDN configuration.