Polyanskii, N., Müller, S., & Raikwar, M. (2024). Slipstream: Ebb-and-Flow Consensus on a DAG with Fast Confirmation for UTXO Transactions. arXiv preprint arXiv:2410.14876v1.
This paper introduces Slipstream, a new Byzantine Fault Tolerance (BFT) protocol designed for ordering blocks and confirming UTXO transactions on a Directed Acyclic Graph (DAG) in both sleepy and eventually synchronous network models. The research aims to address the limitations of existing DAG-based BFT protocols in handling dynamic network conditions and achieving fast transaction confirmation.
The authors propose a novel approach using slot-based digests to summarize block ordering within a slot and a backbone chain of digests to track the optimistic block ordering. They introduce the concept of digest certificates for finalizing the block ordering and transaction certificates for fast UTXO transaction confirmation. The protocol utilizes a leader-based merging mechanism for synchronizing DAGs after the asynchronous period ends. The authors analyze the protocol's performance in two specific models: the slot-sleepy (SS) model and the eventual lock-step synchronous (ELSS) model.
Slipstream presents a novel and efficient solution for achieving consensus and fast UTXO transaction confirmation in both sleepy and eventually synchronous networks. The protocol's use of slot-based digests, digest and transaction certificates, and a leader-based merging mechanism offers advantages over existing DAG-based BFT protocols in terms of dynamic availability, latency, and security.
This research contributes significantly to the field of distributed systems, particularly in designing resilient and efficient consensus protocols for blockchain and cryptocurrency applications. Slipstream's ability to handle dynamic network conditions and provide fast transaction confirmation makes it a promising candidate for real-world deployments.
The paper primarily focuses on UTXO transactions and assumes a lock-step synchronous communication model in the SS model. Future research could explore the applicability of Slipstream to other transaction models and more relaxed network synchrony assumptions. Additionally, investigating the protocol's performance under different network parameters and adversarial scenarios would be beneficial.
To Another Language
from source content
arxiv.org
Key Insights Distilled From
by Nikita Polya... at arxiv.org 10-22-2024
https://arxiv.org/pdf/2410.14876.pdfDeeper Inquiries