Crust: A Modular Framework for Conflict-Free Replicated Data Types (CRDTs) Development, Validation, and Benchmarking

Conflict-free Replicated Data Types (CRDTs) are vital for achieving strong eventual consistency in distributed systems, but their development and evaluation face significant challenges by inadequate tooling. While CRDT research focus on algorithms and applications, critical gaps persist in validation and performance benchmarking. To address this, a novel Rust-based framework “Crust” designed to offer a modular, configurable, and extensible platform for developing, validating, and benchmarking CRDT implementations. Crust includes Core, Config, Network, Validation, and Benchmark moduels, supporting various synchronization methods and emphasizing correctness and performance analysis. This paper details Crust’s design and theoretical basis, showing how it bridges the gap between CRDT theory and practice, addressing tooling gaps to enhance adoption and real-world use.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3568925
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Crust: A Modular Framework for Conflict-Free Replicated Data Types (CRDTs) Development, Validation, and Benchmarking

Jing Ma, Zhu Yiji
IEEE Access
Scientific Computing and Data Management
article

Crust: A Modular Framework for Conflict-Free Replicated Data Types (CRDTs) Development, Validation, and Benchmarking

Jing Ma, Zhu Yiji
article en

Abstract

Conflict-free Replicated Data Types (CRDTs) are vital for achieving strong eventual consistency in distributed systems, but their development and evaluation face significant challenges by inadequate tooling. While CRDT research focus on algorithms and applications, critical gaps persist in validation and performance benchmarking. To address this, a novel Rust-based framework “Crust” designed to offer a modular, configurable, and extensible platform for developing, validating, and benchmarking CRDT implementations. Crust includes Core, Config, Network, Validation, and Benchmark moduels, supporting various synchronization methods and emphasizing correctness and performance analysis. This paper details Crust’s design and theoretical basis, showing how it bridges the gap between CRDT theory and practice, addressing tooling gaps to enhance adoption and real-world use.

IEEE AccessVol. 13
Auckland University of Technology (NZ)
Openalex Percentile: Top 89%
Scientific Computing and Data Management
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