Benchmarking Kubernetes and WebAssembly runtimes for sub-10ms failover across moving vehicles and roadside edge nodes.
Connected vehicle applications span radically different computational constraints: emergency braking requires sub-5 millisecond deterministic guarantees on bare-metal silicon, while traffic heatmaps tolerate multi-second latency and thrive on massive cloud elasticity.
V2Orchestration deploys a federated control plane. Using eBPF observability and lightweight WebAssembly runtimes, microservices migrate autonomously between vehicle gateways, roadside units, and 5G edge nodes depending on instantaneous network jitter and vehicle velocity. ``` +-----------------------+ Latency Budget +-----------------------+ | Tactile Sensor Task | --------------------------------> | Onboard Vehicle Node | | Emergency Brake Hook | (< 5ms SLA) | (Bare Metal ARM/RISC) | +-----------------------+ +-----------------------+ | +---------------------------+---------------------------+ | | v v Roadside RSU Node Hyperscale Cloud (< 15ms Sensor Fusion) (Global ML Retraining) ```
In benchmark testing under simulated 50-car corridor surges, V2Orchestration achieved a 99.999% SLA compliance rate, migrating perception jobs without a single dropped packet.