Journal
ACM COMPUTING SURVEYS
Volume 55, Issue 12, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3576899
Keywords
DAG-based blockchain; SoK; performance
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Limitations in latency and scalability of classical blockchain systems hinder their adoption and application. Reconstructed blockchain systems using Directed Acyclic Graph (DAG) have been proposed to address these limitations and enable fast confirmation and high scalability. However, there is a need for systematic work that summarizes DAG techniques in this field. This Systematization of Knowledge (SoK) provides a comprehensive analysis of existing and ongoing DAG-based blockchain systems, evaluating them from various perspectives and discussing trade-offs, challenges, and future research directions.
Limitations on high latency and low scalability of classical blockchain systems retard their adoptions and applications. Reconstructed blockchain systems have been proposed to avoid the consumption of competitive transactions caused by linear sequenced blocks. These systems, instead, structure transactions/blocks in the form of Directed Acyclic Graph (DAG) and consequently rebuild upper layer components. The promise of DAG-based blockchain systems is to enable fast confirmation (complete transactions within million seconds) and high scalability (attach transactions in parallel) without significantly compromising security. However, this field still lacks systematic work that summarises DAG techniques. To bridge the gap, this Systematization of Knowledge (SoK) provides a comprehensive analysis of ever-existing and ongoing DAG-based blockchain systems. We abstract a general model to capture the main features and identify six types of design patterns. Then, we evaluate these systems from the perspectives of structure, consensus, property, security, and performance. We further discuss the trade-off between different factors, open challenges, and the potentiality of DAG-based solutions, indicating their promising directions for future research.
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