Advancements in Blockchain Consensus and Scalability

The field of blockchain research is moving towards improving the scalability, security, and efficiency of consensus protocols. Recent developments have focused on optimizing communication complexity, reducing latency, and increasing resilience to adversarial behavior. Notably, leaderless consensus protocols and parallelizable state replication approaches have shown promising results. Additionally, research on blockchain sharding and dynamic block size optimization has led to significant improvements in system performance and stability. Overall, these advancements are paving the way for more efficient, secure, and scalable blockchain systems. Noteworthy papers include: Ocior, which proposes a ultra-fast asynchronous leaderless consensus protocol with optimal performance in resilience, communication, computation, and round complexity. Mangrove, which introduces a novel scaling approach to building blockchains with parallel smart contract support. Near-Optimal Stability for Distributed Transaction Processing in Blockchain Sharding, which provides a distributed scheduler that guarantees stability under a near-optimal injection rate.

Sources

Ocior: Ultra-Fast Asynchronous Leaderless Consensus with Two-Round Finality, Linear Overhead, and Adaptive Security

Near-Optimal Stability for Distributed Transaction Processing in Blockchain Sharding

Efficient and Secure Sleepy Model for BFT Consensus

Tuning Block Size for Workload Optimization in Consortium Blockchain Networks

Larger-scale Nakamoto-style Blockchains Offer Better Security

Mangrove: Fast and Parallelizable State Replication for Blockchains

Exploring Formal Math on the Blockchain: An Explorer for Proofgold

Payment Channels with Proofs

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