Optimizing High-Performance Distributed Systems Using Zero-Copy Architecture and Shared Memory Buffers
Introduction Modern distributed systems—whether they power real‑time financial trading platforms, large‑scale microservice back‑ends, or high‑throughput data pipelines—must move massive volumes of data across nodes with minimal latency and maximal throughput. Traditional networking stacks, which rely on multiple memory copies between user space, kernel space, and hardware buffers, become bottlenecks as data rates climb into the tens or hundreds of gigabits per second. Zero‑copy architecture and shared memory buffers are two complementary techniques that dramatically reduce the number of memory copies, lower CPU overhead, and improve cache locality. When applied thoughtfully, they enable applications to approach the theoretical limits of the underlying hardware (e.g., PCIe, RDMA NICs, or high‑speed Ethernet). ...