Network Infrastructure Architecture for National-Scale Genomics Programs

Abstract

National-scale genomics programmes are among the most demanding use cases for enterprise network infrastructure. They require the simultaneous handling of massive sequencing data volumes, real-time laboratory instrument connectivity, cloud-based bioinformatics pipelines, and strict healthcare data governance. This paper presents a comprehensive reference architecture for the network infrastructure underpinning a national-scale population genomics programme, one of the world's largest such initiatives. Drawing on direct implementation experience at the national omics data centre, this work details the design principles, topology decisions, security frameworks, and cloud integration strategies that enabled reliable processing of hundreds of thousands of genomic samples. The architecture addresses the unique convergence of IT, IoT, and application-layer requirements within a genomics data centre environment encompassing structured cabling for laboratory networks, high-throughput LAN design for sequencing instruments, resilient WAN connectivity to centralised data centres and a leading public cloud platform, and end-to-end security controls aligned with national healthcare data governance standards. Three key contributions emerge from this work a layered design methodology that separates laboratory instrument networks from computational and storage tiers, a hybrid connectivity model that integrates onpremises infrastructure with cloud-based compute, storage, and analytics services, and a scalability framework that supports rapid growth in sample throughput without requiring fundamental architectural redesign. The paper concludes with lessons learned, measured performance observations, and practical recommendations for other national genomics initiatives.