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Working Set Size Estimation (2018)

30 点作者 pncnmnp7 个月前

2 条评论

donavanm7 个月前
If anyone is interested in space &amp; time efficient caching and working set tracking check out some of my favorites, gil einziger <a href="https:&#x2F;&#x2F;scholar.google.co.il&#x2F;citations?user=kWivlnsAAAAJ" rel="nofollow">https:&#x2F;&#x2F;scholar.google.co.il&#x2F;citations?user=kWivlnsAAAAJ</a> and the ex coho data guys <a href="https:&#x2F;&#x2F;www.usenix.net&#x2F;system&#x2F;files&#x2F;conference&#x2F;osdi14&#x2F;osdi14-paper-wires.pdf" rel="nofollow">https:&#x2F;&#x2F;www.usenix.net&#x2F;system&#x2F;files&#x2F;conference&#x2F;osdi14&#x2F;osdi14...</a>.<p>Ben Manes[1] worked with Gil Einziger on an implementation of TinyLFU and actually contributed to an updated version of the TinyLFU paper, IIRC. Gil has a ton of very relevant work[2][3] around cache admission, control, and information density.<p>Coho data was working very large storage arrays, specifically optimizing data placement across different media&#x2F;hosts&#x2F;etc. lots of similar problems where even the metadata of the working set was prohibitively large. So they had space &amp; time efficient functions to track access patterns in realtime. Their business didnt work out (unfortunately) and most of them ended up at AWS, working on storage like S3 and Glacier.<p>[1] <a href="https:&#x2F;&#x2F;github.com&#x2F;ben-manes&#x2F;caffeine&#x2F;wiki&#x2F;Efficiency#window">https:&#x2F;&#x2F;github.com&#x2F;ben-manes&#x2F;caffeine&#x2F;wiki&#x2F;Efficiency#window</a>... [2] <a href="https:&#x2F;&#x2F;scholar.google.com&#x2F;citations?user=kWivlnsAAAAJ&amp;hl=en" rel="nofollow">https:&#x2F;&#x2F;scholar.google.com&#x2F;citations?user=kWivlnsAAAAJ&amp;hl=en</a> [3] <a href="https:&#x2F;&#x2F;github.com&#x2F;gilga1983">https:&#x2F;&#x2F;github.com&#x2F;gilga1983</a>
haolitcs7 个月前
The original idea is purposed by Peter Denning[1], but the theoretical WorkingSet reclaiming algorithm is hard to implement in real hardware.<p>[1]: <a href="https:&#x2F;&#x2F;denninginstitute.com&#x2F;pjd&#x2F;PUBS&#x2F;WSModel_1968.pdf" rel="nofollow">https:&#x2F;&#x2F;denninginstitute.com&#x2F;pjd&#x2F;PUBS&#x2F;WSModel_1968.pdf</a>