Redefining Media Delivery: Integrating a Stream Transformation Engine in the Distribution Pipeline for Next-Gen Streaming Efficiency

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Publisher: SMPTE — Pasadena, CA
Doc Type: Conference Paper
Content Type: Original Research
Volume: 00, pp. 1–16
Abstract: As media distribution has transitioned from satellite to IP-based solutions, the solutions have generally been split into two isolated worlds of dedicated hardware products and cloud solutions. Both introduce scalability issues, with configuration headaches and cost respectively. This paper discusses bridging the gap and integrating the cost-efficiency of dedicated hardware with the flexibility and ease of use of cloud solutions. This paper proposes a distributed stream transformation architecture that integrates processing capabilities directly into IP-based media transport networks. Our approach introduces a hardware-agnostic transformation framework supporting GPU, VPU (FPGA/ASIC), and CPU accelerators through unified Kubernetes orchestration. The system employs ARQ-based protocols (RIST and SRT) to achieve satellite-equivalent reliability over unmanaged internet connections. The architecture features a failure-tolerant control plane separated from the transport layer, enabling live services to continue during control plane failures. A unified transformation engine runs across both high-performance core nodes and resource-constrained edge devices, with intelligent capability detection. Composable transformation pipelines eliminate duplicate processing by collocating multiple output requirements on optimal nodes. Cost analysis demonstrates significant economic advantages: distributed processing reduces perstream costs from approximately $281/month (managed cloud) to $97/month (COTS edge deployment) over a 36-month period. This represents potential savings of $1,838 monthly for a 10-stream deployment.
Publication Date: 2025-10-13
ISBN: [object Object]
Author(s): Pierre Le Fevre
Adam Nilsson
Keyword(s): Distributed Transcoding, Edge Computing, RIST, SRT, ARQ, Transcoding, Kubernetes, GPU Acceleration, VPU, Composable Transformation Pipelines, IP Media, Egress Cost Reduction, COTS, Containerization, Failure-tolerant Control Plane
Copyright: © 2025 SMPTE

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Pierre Le Fevre and Adam Nilsson; Redefining Media Delivery: Integrating a Stream Transformation Engine in the Distribution Pipeline for Next-Gen Streaming Efficiency, MTS 2025, Article 32 (pp. 1 to 16); SMPTE, 2025, ISBN: [object Object]

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Pierre Le Fevre and Adam Nilsson; Redefining Media Delivery: Integrating a Stream Transformation Engine in the Distribution Pipeline for Next-Gen Streaming Efficiency, MTS 2025, Article 32 (pp. 1 to 16); SMPTE, 2025, ISBN: [object Object]

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Pierre Le Fevre and Adam Nilsson; <cite id="bib-978-1-61482-966-9-32">Redefining Media Delivery: Integrating a Stream Transformation Engine in the Distribution Pipeline for Next-Gen Streaming Efficiency</cite>, MTS 2025, Article 32 (pp. 1 to 16); SMPTE, 2025, ISBN: [object Object]
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