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    BetrFS: A Right-Optimized Write-Optimized File System

    Microsoft Research

    2 HN recommenders · recommended in 4 months, 2016–2023

    YouTube

    1:00:31 · 3.1K views · Jun 22, 2016

    A Microsoft Research talk on BetrFS, a file system built on B-epsilon trees, a write-optimized data structure. It covers WODS such as LSM-trees, how to design a file system around them, and benchmark wins over ext4 and xfs.

    HN points to it as a solid, if long, introduction to B-epsilon trees and why BetrFS is built the way it is.

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    6 comments from Hacker News

    1. @williamkuszmaulDec 2021· in “BetrFS: an in-kernel file system that uses Bε trees to organize on-disk storage”

      The website doesn't seem to mention that several of the papers on the filesystem won best-paper awards at major conferences. The paper, Optimizing Every Operation in a Write-Optimized File System, in particular, won best-paper award at FAST '16. Also, if you're interested in learning more about B^\epsilon trees, here's a talk given by Rob Johnson a few years ago at Microsoft Research: BetrFS: A Right-Optimized Write-Optimized File System this video In general, I think it's really cool that there is a file system that exists today (i.e., BetrFS) that uses data structures which didn't exist 25 years ago. It's a great example of theoreticians and systems researchers working together.

      RecommendsView on HN
    2. @loegOct 2018· in “BetrFS: An in-kernel file system that uses Bε trees to organize on-disk storage”

      This isn't completely fair, although most of it is. Some of the reasons for modifying Linux are performance enhancements to the filesystem layer that only make sense with a Bε-tree filesystem (and are not possible without patching Linux). They cover this in the hour-long talk at MS research linked elsewhere in this thread.[1] (Yes, it's long, but it's a pretty good presentation.) E.g., they describe modifying the page cache to write-through small modifications to file data, rather than dirtying the entire page and writing it back later (a form of write amplification). [1]: this video

      RecommendsView on HN
    3. @ww520Dec 2023· in “How the append-only btree works (2010)”

      Here're what I found on the idea of adding buffers to branch nodes. L. Arge described the Buffer Tree idea in 1995 with (a,b)-Tree for other data structures. Brodal and Fagerberg formalized it for B+Tree in 2003. There's also the more modern Bε-Tree, the B-epsilon Tree, with similar idea, used in the BetrFS file system and various DBs. Tokutek built TokuDB using a similar idea and called it Fractal Tree (which was derived from Bε-Tree). Hitchhicker Tree is the append-only version of Fractal Tree, similar to the append-only B+Tree. * L. Arge. The buffer tree: A new technique for optimal I/O-algorithms. In Proc. 4th Workshop on Algorithms and Data Structures (WADS), volume 955 of Lecture Notes in Computer Science, pages 334–345, Springer Verlag, Berlin. 1995. [LINK] * G. S. Brodal, R. Fagerberg. Lower Bounds for External Memory Dictionaries. 2003. [LINK] * Bε-Tree, [LINK] , this video . An Introduction to Bε-trees and Write-Optimization, [LINK] , [LINK] * Tokutek. How Fractal Trees Work. 2011. [LINK] * Hitchhiker Tree. 2016. [LINK]

      CitesView on HN
    4. @pengaruDec 2021· in “BetrFS: an in-kernel file system that uses Bε trees to organize on-disk storage”

      > here's a talk given by Rob Johnson a few years ago at Microsoft Research: BetrFS: A Right-Optimized Write-Optimized File System this video Interesting talk, I wonder how much of the perf. advantage diminishes in a finished, production-ready implementation though. Comparing an 80%-complete R&D prototype mule against crash-resilient posix-compliant production filesystems is basically never a fair perf. comparison. You might find that just implementing rename and hard-links properly alone is going to kill your perf. since you dispensed with on-disk inode equivalents. Nice to see people poking at these issues nonetheless, Linux needs better filesystem options.

      CitesView on HN
    5. @gbrown_Jul 2016· in “Datastructures for external memory”

      This reminded me of BetrFS presented at FAST 15. It looks like there's a more up to date presentation online[1] where the delete performance issues have been fixed. [1] this video

      CitesView on HN