| Metric | Test Setup (Docker container, 8 vCPU, 16 GB RAM) | Observed Value | |--------|--------------------------------------------------|----------------| | | 30 fps input, 720p H.264 (CBR 2 Mbps) | 29.8 fps (99 % of source) | | CPU utilization | Single‑core Java + hardware‑accelerated NVENC | 45 % (peak) | | Memory footprint | Virtual‑thread pool (≈ 300 threads) | 512 MB (including native buffers) | | Output size (45 min) | H.264 Baseline 2 Mbps | ≈ 675 MB | | AV1 alternative | Software encode (libaom) | 31 fps , CPU 120 % (requires more cores) | | Latency (HLS segment start) | 6 s segment size, 2 s playlist update | ≈ 8 s total | | WebRTC latency | Java‑OpenVidu + TURN server | ≈ 1.8 s (end‑to‑end) |
The impact of online content on our lives cannot be overstated. From educating us on various topics to entertaining us during our downtime, online content plays a significant role in shaping our perceptions and influencing our behaviors. JUL-720-JAVHD-TODAY-0924202101-57-45 Min
return result
Interpretation: The meets real‑time requirements for 720p streaming on modest cloud VMs. Switching to AV1 halves bandwidth but dramatically raises CPU cost, making it viable only with dedicated GPU encoders (e.g., Intel Arc, Nvidia A10) that are now supported through the FFmpeg‑Java GPU‑offload flags. | Metric | Test Setup (Docker container, 8