| Phase | Duration | Milestones | |-------|----------|------------| | | 2 mo | Requirement workshops; prototype API spec; proof‑of‑concept data transfer (1 GB). | | 1 – Core Platform | 4 mo | Deploy API gateway, schema registry, auth service on test cluster; integrate with one CFD solver. | | 2 – Storage & Telemetry | 3 mo | Set up object storage + Kafka cluster; ingest simulated telemetry streams. | | 3 – Scheduler Adapters | 3 mo | Implement Slurm & Azure Batch adapters; run first ensemble of 100 CFD jobs. | | 4 – Security Harden | 2 mo | Enable TLS, RBAC, audit logging; perform external security audit. | | 5 – Pilot Collaboration | 3 mo | Onboard partner lab; share a material library and live telemetry; collect user feedback. | | 6 – Production Roll‑out | 2 mo | Scale to full compute fleet; finalize documentation; hand‑over to operations team. | | 7 – Continuous Improvement | Ongoing | Add AI‑surrogate plugin, support for edge devices, periodic performance tuning. |

| Metric | Target | Rationale | |--------|--------|-----------| | | ≥ 10 GB s⁻¹ (aggregate) | Needed for multi‑TB CFD snapshots in under a minute. | | Latency (API request) | ≤ 50 ms (99th percentile) | Enables interactive UI updates for design iterations. | | Concurrent Jobs Managed | ≥ 5 000 active jobs | Supports large‑scale design‑of‑experiments (DOE) campaigns. | | Telemetry Ingestion Rate | 1 M messages s⁻¹ (small packets) | Covers high‑rate hypersonic test data (≈ 100 kHz sensor streams). | | Storage Capacity | 50 PB (scalable) | Long‑term archiving of all simulation/flight data. |