Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
149 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

The latest gossip on BFT consensus (1807.04938v3)

Published 13 Jul 2018 in cs.DC

Abstract: The paper presents Tendermint, a new protocol for ordering events in a distributed network under adversarial conditions. More commonly known as Byzantine Fault Tolerant (BFT) consensus or atomic broadcast, the problem has attracted significant attention in recent years due to the widespread success of blockchain-based digital currencies, such as Bitcoin and Ethereum, which successfully solved the problem in a public setting without a central authority. Tendermint modernizes classic academic work on the subject and simplifies the design of the BFT algorithm by relying on a peer-to-peer gossip protocol among nodes.

Citations (301)

Summary

  • The paper presents a simplified BFT consensus method that leverages gossip-based communication to enhance message efficiency in decentralized networks.
  • It adapts classical algorithms like PBFT for blockchain systems, achieving robust consensus in environments with diverse and distrusting nodes.
  • The study introduces a novel termination mechanism that reduces communication rounds, ensuring scalability and security under stable network conditions.

An Expert Overview of the Tendermint BFT Consensus Protocol

The paper "The Latest Gossip on BFT Consensus" by Buchman, Kwon, and Milosevic presents an in-depth exploration of Tendermint, a Byzantine Fault Tolerant (BFT) consensus protocol. Tendermint is a pivotal contribution to the landscape of consensus algorithms, particularly in the context of blockchain architectures. It introduces a novel mechanism by integrating a gossip-based communication model, thus optimizing for environments with increased numbers of mutually distrusting nodes.

Key Contributions

The Tendermint protocol modernizes classical consensus algorithm approaches such as PBFT and DLS, adapting them for contemporary distributed networks typified by blockchain systems like Bitcoin and Ethereum. Unlike traditional State Machine Replication (SMR) systems optimized for data centers, Tendermint's design focuses on global networks with decentralized control and potential Byzantine failures.

Tendermint's fundamental advancement is in its simplified algorithmic structure. It maintains the conventional communication pattern seen in PBFT but eliminates the dual-mode operation typical of earlier protocols. This single-mode operation, coupled with a newly designed termination mechanism, ensures robustness while minimizing communication complexity.

Consensus Mechanism

Tendermint's consensus algorithm processes in rounds with a designated leader proposing blocks of transactions. The system's reliance on peer-to-peer gossip protocols ensures that nodes communicate efficiently across a distributed network. Validators are selected via a weighted round-robin mechanism, proportionate to their voting power. Each round involves communication steps—including proposal, prevote, and precommit phases—to ensure consensus despite potential adversarial node behavior.

The protocol achieves a decision in three communication steps under optimal conditions and uses the notion of locked values and rounds to manage consensus history. Critical to its design is Tendermint's flexibility in handling potentially large transaction blocks through value identifiers, promoting efficiency in message passing.

Technical Results and Validity

A critical outcome of the Tendermint consensus is its reliance on a new termination mechanism that exploits the gossip protocol's inherent properties. This innovation enables achieving consensus without the need for additional communication beyond the regular rounds, setting it apart from previous BFT designs. The termination mechanism guarantees that under stable network conditions (post-GST), a correct proposer will emerge, leading to system-wide agreement.

Implications and Future Perspectives

Tendermint's integration of gossip-based communication and BFT consensus positions it well for blockchain applications requiring high reliability and scalability. Its simplified approach can lead to more straightforward implementations, potentially reducing errors and increasing adoption across distributed ledger technologies.

In a broader context, Tendermint’s framework could influence how future consensus algorithms are designed for decentralized environments. It opens avenues for researchers to explore further optimizations in message complexity and security, possibly through advanced cryptographic techniques like BLS signatures, as indicated in the paper.

Conclusion

The Tendermint consensus protocol extends the capabilities of BFT algorithms into more decentralized and open network architectures, using innovative communication strategies. Its authors have laid a strong foundation for scalable and robust consensus mechanisms, likely enhancing the efficacy of future blockchain solutions. The clarity and elegance of Tendermint's design could serve as a model for future advancements in distributed consensus.

Github Logo Streamline Icon: https://streamlinehq.com
Youtube Logo Streamline Icon: https://streamlinehq.com