2021
DOI: 10.48550/arxiv.2105.11827
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Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

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Cited by 2 publications
(2 citation statements)
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“…In Baxos, Proposers have to broadcast a message to Acceptors, both in the Prepare-Promise phase and in the Propose-Accept phase, which results in a major I/O scalability bottleneck. We plan to address this issue in the future by exploring two approaches: (1) dynamic broadcast trees and (2) separating the total ordering from message broadcasting [53] by employing a peer to peer overlay to disseminate requests and using hash of requests for total ordering.…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…In Baxos, Proposers have to broadcast a message to Acceptors, both in the Prepare-Promise phase and in the Propose-Accept phase, which results in a major I/O scalability bottleneck. We plan to address this issue in the future by exploring two approaches: (1) dynamic broadcast trees and (2) separating the total ordering from message broadcasting [53] by employing a peer to peer overlay to disseminate requests and using hash of requests for total ordering.…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…DAG-Rider has an expected amortized linear message complexity, and expected constant latency. Tusk [16] is an implementation based on DAG-Rider. Bullshark [22] is the current state-of-the-art dual consensus protocol based on DAG-Rider that offers a fast-track to commit nodes every two rounds in case the network is synchronous.…”
Section: Overview and Related Workmentioning
confidence: 99%