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This paper presents , a novel distributed filesystem architecture designed to address the growing challenges of data integrity, backup overhead, and versioning in modern cloud-native environments. Unlike traditional filesystems that rely on background deduplication processes or costly copy-on-write (COW) trees for snapshotting, SnapFiles introduces an Inline Content-Addressable Storage (CAS) mechanism coupled with a Linear Metastore . By writing data chunks exactly once and referencing them via a directed acyclic graph (DAG) of metadata pointers, SnapFiles provides instantaneous, zero-overhead snapshots. We demonstrate that SnapFiles achieves near-native write performance while offering unlimited, space-efficient point-in-time recovery capabilities.

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SnapFiles: A High-Performance Distributed Filesystem for Immutable Atomic Snapshots This paper presents , a novel distributed filesystem

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In sequential write tests, SnapFiles showed a 5% overhead compared to raw NFS due to the computational cost of hashing. However, in write-heavy environments with duplicate data (e.g., VM image storage), SnapFiles achieved due to deduplication.