hejicode / awesome-low-latency

Patterns and resources of low latency programming.

Awesome Low Latency

Low latency programming is increasingly important across a variety of use cases. Still, many of the tips and tricks of low latency are only part of developer folklore. This document attempts to codify that knowledge for people to (re)discover the art of low-latency programming.

Patterns

How to Measure Latency Correctly

• Latency is a distribution
• Avoid coordinated omission

Avoid Data Movement

• Co-locate compute and data
• Replicate data for faster access
• Maximize cache hit rate
• Control memory access patterns

Avoid Work

• Avoid dynamic memory management
• Avoid demand paging
• Avoid as much work as possible (for example, avoid function call overhead by using inlining)
• Avoid CPU intensive computation.

Avoid Waiting

• Partition data to avoid sharing (and, therefore, synchronization)
• Make shared data structures read-only (when possible)
• Reduce head-of-line blocking
• Avoid context switching
• Use wait-free data synchronization
• Use busy-polling instead of wakeups
• Disable Nagle's algorithm
• Use non-blocking I/O

Hide Latency

• Parallelize requests to different services
• Request hedging (send redundant requests to multiple replicase, use response from fastest one)

Tune for Low Latency

• Use preemptible kernel
• Interrupt affinity
• Watch out for bad device drivers

Advanced Topics

• Use kernel-bypass networking such as DPDK or XDP
• Use hardware offload with accelerators and FPGA

Blogs

• 11 Best Practices for Low Latency Systems by Ben Darfler (2014).
• Optimizing web servers for high throughput and low latency by Alexey Ivanov (2017).

Publications

• The Tail at Scale by Jeffrey Dean and Luiz André Barroso (2013)
• Tales of the Tail: Hardware, OS, and Application-level Sources of Tail Latency by Jialin Li et al (2014)
• Amdahl’s Law for Tail Latency by Christina Delimitrou and Christos Kozyrakis (2018)

Conferences

• P99 CONF