KERNEL-LEVEL PERFORMANCE OPTIMIZATION FOR CARRIER-GRADE BROADBAND AND HIGH-SPEED NETWORKING SYSTEMS

Abstract

Carrier-grade broadband systems demand exceptional packet processing performance, minimal latency, and sustained throughput under extreme traffic loads that conventional Linux kernel networking stacks struggle to deliver. This research presents a comprehensive kernel-level optimization framework addressing critical performance bottlenecks in high-speed networking through systematic improvements to packet processing pipelines, memory management, and inter-process communication mechanisms. Our approach combines zero-copy packet handling techniques, NUMA-aware memory allocation, intelligent CPU affinity tuning, and lock-free data structures to minimize overhead in latency-critical paths. The implementation employs custom kernel modules optimizing interrupt handling, network stack processing, and user-space handoff while maintaining compatibility with standard Linux interfaces. We develop specialized profiling methodologies identifying bottlenecks in multi-gigabit networking scenarios and validate optimizations through rigorous performance characterization across diverse workload patterns. Experimental evaluation on carrier-grade broadband platforms demonstrates 87% reduction in packet processing latency, 3.2x improvement in maximum throughput, and 94% reduction in CPU utilization at equivalent traffic loads compared to stock Linux configurations. The framework achieves line-rate processing at 100Gbps with sub-10μs latency while maintaining system stability and deterministic behavior required for telecommunications infrastructure. This work contributes both theoretical understanding of kernel networking performance characteristics and practical optimization techniques deployable in production carrier-grade systems.