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In a similar vein, there's a neat "Efficient Page Replacement" strategy described in a LeanStore paper [0] that combines random selection with FIFO:

> Instead of tracking frequently accessed pages in order to avoid evicting them, our replacement strategy identifies infrequently-accessed pages. We argue that with the large buffer pool sizes that are common today, this is much more efficient as it avoids any additional work when accessing a hot page

> by speculatively unswizzling random pages, we identify infrequently-accessed pages without having to track each access. In addition, a FIFO queue serves as a probational cooling stage during which pages have a chance to be swizzled. Together, these techniques implement an effective replacement strategy at low cost

[0] https://db.in.tum.de/~leis/papers/leanstore.pdf



Came here to say the same thing.

There's a follow-up paper from last year that talks about some refinement of this strategy (6.2 page replacement), among other things.

"The Evolution of LeanStore"

https://dl.gi.de/server/api/core/bitstreams/edd344ab-d765-44...


Thanks for the pointer :) it seems there's a follow-up to that paper in turn, with an explicit focus on that eviction strategy: "Write-Aware Timestamp Tracking"

https://www.vldb.org/pvldb/vol16/p3323-vohringer.pdf


Ah, thanks, that was actually the paper I think I was looking for.




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