Problem
Campus GPU capacity is unevenly distributed. The project models how clients, shared links, a router, a scheduler, and heterogeneous hosts interact when GPU jobs compete with burst traffic.
Contribution
- Implemented the bus, router, GPU host, scheduler, client, and background-flow modules without the INET framework.
- Recorded JCT, utilization, queue length, routed traffic, and per-bus volume across seeded runs.
- Documented scope honestly: simulation results are not general performance guarantees.
Case note 01
A complete modeled path
Clients submit jobs, a central scheduler selects a host from capacity beacons, the host reserves a slot, and completion is observed end to end across the modeled network.
Case note 02
Measured, not generalized
Committed scenarios compare no, light, medium, and heavy burst traffic. The results belong to this topology, workload, configuration, and seed set.