UPDF AI

Circllhist - A Log-Linear Histogram Data Structure for IT Infrastructure Monitoring

H. Hartmann,Theo Schlossnagle

2020 · ArXiv: 2001.06561
arXiv.org · 3 Citations

TLDR

The circllhist histogram is a fast and memory efficient data structure for summarizing large numbers of latency measurements, and provides nano-second data insertion, full mergeability, accurate approximation of quantiles with a-priori bounds on the relative error.

Abstract

The circllhist histogram is a fast and memory efficient data structure for summarizing large numbers of latency measurements. It is particularly suited for applications in IT infrastructure monitoring, and provides nano-second data insertion, full mergeability, accurate approximation of quantiles with a-priori bounds on the relative error.

Open-source implementations are available for C/lua/python/Go/Java/JavaScript.