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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2409.14252 (cs)
[Submitted on 21 Sep 2024]

Title:Collaborative Text Editing with Eg-walker: Better, Faster,
Smaller

Authors:Joseph Gentle, Martin Kleppmann
View a PDF of the paper titled Collaborative Text Editing with
Eg-walker: Better, Faster, Smaller, by Joseph Gentle and Martin
Kleppmann
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    Abstract:Collaborative text editing algorithms allow several
    users to concurrently modify a text file, and automatically merge
    concurrent edits into a consistent state. Existing algorithms
    fall in two categories: Operational Transformation (OT)
    algorithms are slow to merge files that have diverged
    substantially due to offline editing; CRDTs are slow to load and
    consume a lot of memory. We introduce Eg-walker, a collaboration
    algorithm for text that avoids these weaknesses. Compared to
    existing CRDTs, it consumes an order of magnitude less memory in
    the steady state, and loading a document from disk is orders of
    magnitude faster. Compared to OT, merging long-running branches
    is orders of magnitude faster. In the worst case, the merging
    performance of Eg-walker is comparable with existing CRDT
    algorithms. Eg-walker can be used everywhere CRDTs are used,
    including peer-to-peer systems without a central server. By
    offering performance that is competitive with centralised
    algorithms, our result paves the way towards the widespread
    adoption of peer-to-peer collaboration software.

Comments:  Accepted at 20th European Conference on Computer Systems
           (EuroSys 2025)
Subjects:  Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as:   arXiv:2409.14252 [cs.DC]
           (or arXiv:2409.14252v1 [cs.DC] for this version)
           https://doi.org/10.48550/arXiv.2409.14252
           Focus to learn more
           arXiv-issued DOI via DataCite
Related    https://doi.org/10.1145/3689031.3696076
DOI:       Focus to learn more
           DOI(s) linking to related resources

Submission history

From: Martin Kleppmann [view email]
[v1] Sat, 21 Sep 2024 21:50:13 UTC (167 KB)
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