ipc - In DPDK, how should the memory pool and ring be configured to minimize cache misses in a DPDK program with a pipeline mode

When using the pipeline model and the ring to implement communication among DPDK processes on different cores, the cache miss rate is quite high, approximately 20%.

1. Memory Pool Configuration 1.1: Memory Alignment: Ensure that the elements in the memory pool are aligned according to the cache line to avoid false sharing. When using rte_mempool_create, set the cache_size and element_size to multiples of the cache line. 1.2: Local Cache: Enable the local cache of the memory pool to reduce contention when accessed by multiple cores. Set the cache_size parameter so that each core has an independent cache. 1.3: NUMA Awareness: In a NUMA system, ensure that the memory pool is allocated on the same memory node as the core to reduce the overhead of cross-node access.

2. Ring Configuration 2.1: Bulk Processing: Use rte_ring_enqueue_burst() and rte_ring_dequeue_burst() for bulk operations to reduce function calls and cache invalidation. 2.2: NUMA Awareness: Similar to the memory pool, ensure that the ring is allocated on the same memory node as the core.