# Hedged requests（受 Tail at Scale 论文启发）应用于单机 DRAM 多通道读取，p99.99 延迟降低 5-15 倍

- 来源：Jeff Dean (@JeffDean)
- 发布时间：2026-04-08 23:56
- AIHOT 链接：https://aihot.virxact.com/items/cmnw1yswj010yslc33b57zxq7
- 原文链接：https://x.com/JeffDean/status/2041908142590792122

## AI 摘要

受 Tail at Scale 论文启发的 Hedged requests 技术被用于单机 DRAM 多通道场景，通过向所有通道并发发送读取请求并采用最快响应，将 p99.99 读取延迟降低 5-15 倍。实现该方案的 tailslayer 项目已开源。

## 正文

Hedged requests （apparently inspired by the Tail at Scale paper by myself and Luiz Barroso） applied within a single machine to replicating data across DRAM channels and issuing reads to all channels， using the one that comes back first. ~5-15X reduction in p99.99 read latency.

https://github.com/LaurieWired/tailslayer/blob/main/README.md

Cool stuff， @lauriewired！

Accompanying video forwarded to me by a friend， which is how I learned about it：
https://www.youtube.com/watch?v=QFi2WVGfXMQ