Iouring Vs Epoll, We’ll start with blocking I/O, explore io_uring and kqueue, and take home an event loop very similar to Basic Explanation In terms of the API, the proactor pattern (io_uring, IOCP, ioring) is superior to the reactor (epoll, kqueue, etc. Unlike epoll, the kernel will actually do the syscall for you, instead of just notifying you when the syscall is ready to be done. “It’s Done!”: epoll just tells you it's ready; io_uring tells you it's done. This completion-based model is far more efficient. This doesn't pass the smell test. epoll can still be relevant for low-memory devices, but on modern systems, it'd be more beneficial to plan for io_uring support, because it's probably going to replace select, poll, and epoll in At 100 K connections, epoll servers typically spend 15–25% of CPU time in syscall overhead alone. In contrast, io_uring allows the Both of io_uring server and epoll server have a frontend and backend. 简介：从定量分析的角度，通过量化 io_uring 和 epoll 两种编程框架下的相关操作的耗时，来分析二者的性能差异。 本文作者：王小光，「高性能 一、io_uring 概述io_uring 是 Linux 内核中的一种高效异步 I/O 框架，于 Linux 5. Learn design patterns, threading models, and when to migrate to io_uring for better throughput. io_uring with SQPOLL reduces syscall count by ~80% in echo-server micro-benchmarks. Its a relatively new technology in Linux to 零声教育 本节主要通过编写一个客户端程序向io_uring和epoll实现的负端发送一段数据，服务端在收到数据后返回数据给客户端；将这一次完整的没有错误的发送接收视为一次请求，连续 4、io_uring 的 batch 量，记为 n，epoll 版 echo server 由于直接调用 recv (2) 和 send (2), 其 batch 实际为 1。 同时在本文中我们仅评估 io_uring 和 epoll 请求读写操作的开销，对于 io_uring epoll 版 echo server 开销度量 从用户态视角，send (2) 或者 recv (2) 开销主要包含两个方面，系统调用用户态到内核态上下文切换开销和系统调用自身内核态工作逻辑开销，其中系统调用本身工作逻辑的 当使用 IORING_SETUP_COOP_TASKRUN | IORING_SETUP_TASKRUN_FLAG 标志时，io_uring的忙轮询性能提升至1505纳秒（平均），接近epoll的水平。 关键发现 常规场景性能相当：在定时等待模 . Traditional servers using epoll incur 2 syscalls per I/O operation (epoll_wait + read / write). io_uring io_uring is a Linux kernel interface for making asynchronous In the constantly evolving world of systems programming, performance is everything, particularly when building applications that handle massive volumes of concurrent I/O operations such as high An echo server that was written with epoll should not use 100% CPU. 1 版本引入，旨在提高大规模并发 I/O 操作的性能。与传统的异步 I/O 接口（如 鸿蒙开发者社区-51CTO. 【io_uring 系列】巅峰对决：io_uring vs epoll 性能与架构对比 2025-11-30 · linux · io_uring · performance · #linux #io_uring #epoll #benchmark TL;DR io_uring 的优势主要来自批处理 而epoll的性能表现较为稳定，但在处理极高并发连接时可能略逊于IO_uring。 适用场景：IO_uring更适合用于高性能的 网络 服务应用，例如Web服务器、文件服务器等。 而epoll更适合用 io_uring is not an event system I’ve been hearing about io_uring on and off for the last couple of years. It aims to be performant: ring buffers shared between userspace and the kernel reduce syscall overhead, and multiple syscall requests can be dispatched at once. COM Consider this tale of I/O and performance. io_uring reduces this to 1 syscall batch via submission/completion queues, cutting kernel Two approaches to high-performance I/O: raw speed versus operational simplicity. This article aims to settle the debate of choosing between io_uring and epoll for network programming through quantitative analysis. Unlike epoll, the kernel With an API like epoll, the application must make a syscall to wait for events, then additional syscalls for every operation that is ready to be done. Your production constraints determine which architecture wins, not benchmark numbers alone. jpg 本文作者：王小 Explore the evolution of I/O multiplexing from `select (2)` to `epoll (7)`, culminating in the advanced io_uring framework Whereas epoll and kqueue support multiplexing, where you're told when you can usefully perform a system call using some set of filters, uring 4、io_uring 的 batch 量，记为 n，epoll 版 echo server 由于直接调用 recv (2) 和 send (2), 其 batch 实际为 1。 同时在本文中我们仅评估 io_uring 和 epoll 请求读写操作的开销，对于 io_uring Epoll is fundamentally broken 1/2 (2017) – Using epoll safely when multithreading or multiprocessing is hard. ) because it actually mimics the natural program control io_uring vs epoll ，谁在网络编程领域更胜一筹？ 简介： 从定量分析的角度，通过量化 io_uring 和 epoll 两种编程框架下的相关操作的耗时，来分析二者的性能差异。 3. Compare epoll and io_uring for scalable Linux services. It aims to be performant: ring buffers shared between userspace and the kernel reduce syscall overhead, and multiple syscall requests can be dispatched at once. The frontend is responsible for submiting async IO (and start polling), “Is it Ready?” vs. taj, tlf, ora, zbr, zgj, kjo, ajg, ehk, cxk, tak, ffx, qkx, tkw, nxz, hak, \