SoK: DAG-based Consensus Protocols
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866916700617703424 |
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| author | Raikwar, Mayank Polyanskii, Nikita Müller, Sebastian |
| author_facet | Raikwar, Mayank Polyanskii, Nikita Müller, Sebastian |
| contents | This paper is a Systematization of Knowledge (SoK) on Directed Acyclic Graph (DAG)-based consensus protocols, analyzing their performance and trade-offs within the framework of consistency, availability, and partition tolerance inspired by the CAP theorem.
We classify DAG-based consensus protocols into availability-focused and consistency-focused categories, exploring their design principles, core functionalities, and associated trade-offs. Furthermore, we examine key properties, attack vectors, and recent developments, providing insights into security, scalability, and fairness challenges. Finally, we identify research gaps and outline directions for advancing DAG-based consensus mechanisms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_10026 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SoK: DAG-based Consensus Protocols Raikwar, Mayank Polyanskii, Nikita Müller, Sebastian Distributed, Parallel, and Cluster Computing This paper is a Systematization of Knowledge (SoK) on Directed Acyclic Graph (DAG)-based consensus protocols, analyzing their performance and trade-offs within the framework of consistency, availability, and partition tolerance inspired by the CAP theorem. We classify DAG-based consensus protocols into availability-focused and consistency-focused categories, exploring their design principles, core functionalities, and associated trade-offs. Furthermore, we examine key properties, attack vectors, and recent developments, providing insights into security, scalability, and fairness challenges. Finally, we identify research gaps and outline directions for advancing DAG-based consensus mechanisms. |
| title | SoK: DAG-based Consensus Protocols |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2411.10026 |