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The Low Latency, Low Loss, Scalable Throughput (L4S) architecture promises to reduce queuing delay while sustaining high throughput. Prior work has largely evaluated L4S in synthetic environments or controlled testbeds, leaving its real-world performance underexplored. In this study, we measure L4S performance specifically on Apple services delivered over Comcast residential networks. We deploy 83 Raspberry Pi devices across Comcast subscriber households and conduct over 120000 controlled experiments comparing L4S to traditional congestion control. Our results show that L4S reduces tail latency by up to 25% for interactive applications and for bulk downloads from Apple’s CDN, while providing minimal gains for iCloud. Gains are most pronounced during peak usage hours when networks are congested, highlighting the situational benefit of L4S in a single ISP ecosystem.

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Measuring Low Latency at Scale: A Field Study of L4S in Residential Broadband

  • 会议论文

  • 发表日期：

    2026年

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  • Ayoub Ben-Ameur,
  • Francesco Bronzino,
  • Paul Schmitt,
  • Nick Feamster

摘要

The Low Latency, Low Loss, Scalable Throughput (L4S) architecture promises to reduce queuing delay while sustaining high throughput. Prior work has largely evaluated L4S in synthetic environments or controlled testbeds, leaving its real-world performance underexplored. In this study, we measure L4S performance specifically on Apple services delivered over Comcast residential networks. We deploy 83 Raspberry Pi devices across Comcast subscriber households and conduct over 120000 controlled experiments comparing L4S to traditional congestion control. Our results show that L4S reduces tail latency by up to 25% for interactive applications and for bulk downloads from Apple’s CDN, while providing minimal gains for iCloud. Gains are most pronounced during peak usage hours when networks are congested, highlighting the situational benefit of L4S in a single ISP ecosystem.