什么是 The Tail at Scale？

Google经典论文，首次系统分析大规模系统中尾部延迟的成因与影响。

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traeai 已收录 1 篇与 The Tail at Scale 相关的内容。最新一篇是「Article: Stragglers, Not Failures: How Adaptive Hedged Requests Reduce p99 Latency by 74 Percent」，由 InfoQ 发布。

The Tail at Scale | 论文

Stragglers, Not Failures: How Adaptive Hedged Requests Reduce p99 Latency by 74 Percent

InfoQToday3782 字 (约 16 分钟)

Adaptive hedged requests reduce p99 latency by 74% by dynamically triggering hedges based on real-time latency distribution learning—not static thresholds or retries; DDSketch enables O(1) memory quantile estimation, paired with token-bucket rate limiting to prevent load amplification.

入选理由：在100个下游服务、各1%慢请求率的扇出架构中，63%的顶层请求会被至少一个慢请求拖累，导致单服务健康指标失真。

FeaturedArticle#Distributed Systems#Latency Optimization#Hedged Requests#DDSketch#Microservices英文

The Tail at Scale

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Stragglers, Not Failures: How Adaptive Hedged Requests Reduce p99 Latency by 74 Percent

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