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Frame from Bryan Cantrill on ARC: A Self-Tuning, Low Overhead Replacement Cache [PWL SF] 10/2017 Plays via YouTube's privacy-enhanced embed

Bryan Cantrill on ARC: A Self-Tuning, Low Overhead Replacement Cache [PWL SF] 10/2017

4 videos recommended on HN
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3 HN users recommended this talk3 months2019–2024 score 3
Years with an HN recommendation, 2007–2026

Recommended in cache-algorithm threads as a fun, informative walk through caching strategies and ARC.

Bryan Cantrill presents the ARC (Adaptive Replacement Cache) paper by Megiddo and Modha at Papers We Love. He opens with a survey of caching strategies before digging into the self-tuning LRU/MFU design.

“Bryan Cantrill does a pretty good survey of caching strategies in the intro” (HN, 2021)

3 recommendations · 1 citations · Talks · intermediate

4 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@greggyb Apr 2021 Recommends
on HN thread The Multi-Generational LRU
Bryan Cantrill does a pretty good survey of caching strategies in the intro to this Papers We Love talk on the ARC in ZFS. [this video]
Good survey of caching strategies in the intro
@bminor13 Jan 2024 Recommends
on HN thread Sieve is simpler than LRU
> it seemed natural to have a set of generations for items that have only been seen once, and then another generation for things that have been more active Have you looked at ARC? It sounds similar - it is a cache split between LRU and MFU areas, where the split point changes dynamically depending on the workload. [this video] is a fun watch on the topic.
Fun talk on adaptive LRU/MFU cache

Citations, criticism and jokes

@mapgrep Jul 2019 Cites it
on HN thread ZFS on Linux still has annoying issues with ARC size
The author calls ARC autotuning “opaque” which surprised me given a well regarded paper has been published on it: [link] [this video] ...that said the author has been writing on the ARC for more than 10 years judging from his blog links so perhaps that paper did not answer his questions.
Linked alongside paper on ARC autotuning

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