As broadcast workflows shift toward cloud-based MCR, virtualized production, and AI-driven processing, infrastructure performance and control have become critical to real-time operations. This session examines how storage protocols, compute architectures, and network control mechanisms directly impact throughput, latency, resiliency, and workflow efficiency. Papers explore file-sharing protocol performance as a hidden bottleneck in high-bandwidth media environments, dynamic network prioritization using open APIs to protect critical video flows, and the readiness of compressed-domain, cloud-based MCR for prime-time broadcast. Together, these presentations provide practical, engineering-focused guidance for designing scalable, resilient broadcast infrastructure capable of supporting real-time, cloud-enabled workflows.
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