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Restructured from flat .tex/.pdf files into per-paper subdirectories. Added Antje Worring as co-author on all papers. Synced PDFs to pdfs/ for download site.
22 lines
1.4 KiB
TeX
22 lines
1.4 KiB
TeX
\section{Conclusion}
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\label{sec:conclusion}
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Nova introduces the supernova burst mechanism to metastable DAG consensus, achieving
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throughput proportional to the transaction arrival rate rather than the consensus
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finalization rate. The frontier-based sampling amortizes consensus overhead over
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entire DAG subgraphs, reducing per-transaction communication to $O(1)$ messages in
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high-throughput regimes. Nova provides the DAG finalization engine for the Lux
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consensus stack, complementing the Wave and Flare per-vertex mechanisms with
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high-throughput batch processing.
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\begin{thebibliography}{99}
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\bibitem{rocket2019wave} T. Rocket et al., ``Scalable and probabilistic leaderless BFT consensus through metastability,'' 2019.
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\bibitem{danezis2022narwhal} G. Danezis et al., ``Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus,'' in \emph{EuroSys}, 2022.
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\bibitem{malkhi2022bullshark} D. Malkhi et al., ``Bullshark: DAG BFT protocols made practical,'' in \emph{CCS}, 2022.
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\bibitem{kelling2020wave} Z. Kelling, ``Wave protocol: Decision stability and confidence monotonicity,'' Lux Industries, Inc., 2020.
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\bibitem{kelling2021flare} Z. Kelling, ``Flare protocol: Certificate skip exclusivity with honest support,'' Lux Industries, Inc., 2021.
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\bibitem{kelling2022field} Z. Kelling, ``Field protocol: Electromagnetic-inspired distributed consensus,'' Lux Industries, Inc., 2022.
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\end{thebibliography}
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