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5.2 Cost‑Benefit Analysis

| Component | Annual Cost (USD) | Savings (USD) | Net ROI | |-----------|-------------------|----------------|----------| | Additional Edge Nodes (5) | 1.2 M | 2.0 M (origin bandwidth) | +0.8 M | | ABR Re‑encoding | 0.3 M | – | – | | P2P SDK Integration | 0.15 M | 0.6 M (origin traffic) | +0.45 M | | BBR‑v2 Enablement | 0.05 M | – | – | | Total | 1.70 M | 2.60 M | +0.90 M |

The projected net return of ~53 % validates the business case for immediate rollout.

1.2 Objectives

• Audit the end‑to‑end delivery chain of NGEFilm21.
• Quantify the impact of network‑level and application‑level parameters on perceived quality of service (QoS).
• Design a set of targeted interventions that can be incrementally deployed.
• Validate the efficacy of the interventions via controlled experiments and live A/B testing.

References

1. Cisco Systems, Cisco Visual Networking Index: Forecast and Methodology, 2025–2030, 2025.
2. ISO/IEC 23009‑1:2023, MPEG‑DASH – Dynamic Adaptive Streaming over HTTP.
3. Akamai Technologies, Edge Performance Best Practices, 2024.
4. Peer5, Hybrid P2P‑CDN Architecture Whitepaper, 2023.
5. J. K. Liu et al., “BBR‑v2: A Congestion Control Algorithm for Modern Networks,” Proc. ACM SIGCOMM, 2022.
6. Google, Widevine DRM Specification, 2024.

Appendix A – Test Asset Specification

• Codec: HEVC (H.265), 10‑bit, HDR10+
• Resolution: 3840 × 2160 (4K)
• Bitrate Ladder: 2 Mbps, 4 Mbps, 6 Mbps, 8 Mbps, 12 Mbps, 20 Mbps
• Segment Duration: 4 s (CMAF‑compatible)

Appendix B – ABR Algorithm Parameters (Modified BOLA)

| Parameter | Value | |-----------|-------| | Utility Function | U(b) = log2(b) – log2(b_min) | | Buffer Target | 15 s | | Safety Margin | 1.2 × estimated bandwidth | | Switch Penalty | 0.5 s (to discourage oscillations) |

Prepared for internal review and strategic planning at NGEFilm21.

4. Results

| Metric | Baseline (Pre‑Intervention) | Post‑Intervention (Best Variant) | Δ % Improvement | |--------|-----------------------------|-----------------------------------|-----------------| | Average Startup Latency | 7.2 s | 3.9 s | −45 % | | Mean Buffering Ratio (buffer‑events/min) | 1.8 | 1.2 | −33 % | | Average Sustained Throughput | 9.3 Mbps | 12.1 Mbps | +30 % | | Cache‑Hit Ratio (Edge) | 28 % | 55 % | +97 % | | MOS (subjective QoE) | 3.2 / 5 | 4.1 / 5 | +28 % |

• ABR refinement contributed the majority of latency reduction (≈ 20 %).
• Edge‑node expansion doubled the cache‑hit ratio, directly boosting throughput.
• P2P augmentation reduced origin bandwidth consumption by 38 % for top‑10 titles.
• BBR‑v2 lowered RTT variance and mitigated loss‑induced stalls, especially on 4G/5G networks.

Statistical analysis confirmed all improvements were significant (p < 0.01).

5.3 Limitations

• Device Heterogeneity: Older browsers lacking WebRTC cannot benefit from P2P; fallback to CDN is required.
• Regulatory Constraints: Some jurisdictions (e.g., China) restrict P2P traffic; regional toggles must be enforced.
• Network Policy Interference: Middleboxes that downgrade TCP options may limit BBR efficacy.

Future work will explore QUIC‑based transport and AI‑driven ABR models that predict bandwidth fluctuations more accurately.