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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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Prism achieves linear throughput scaling through multi-spectrum parallel consensus,
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enabling 50,000 TPS on a 1,000-node testnet. The spectral decomposition ensures
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conflict locality (conflicting transactions are always processed in the same band)
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while distributing independent transactions across bands for parallel processing.
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The direct voting fast path further reduces latency for the common case of uncontested
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transactions. Prism is the highest-level consensus engine in the Lux Quasar stack,
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orchestrating Photon binary consensus, Nova DAG bursts, and Wave confidence tracking
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into a unified high-throughput system.
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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{kelling2023photon} Z. Kelling, ``Photon protocol: Zero-latency consensus pipelining,'' Lux Partners Limited Limited, 2023.
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\bibitem{kelling2023nova} Z. Kelling, ``Nova protocol: Supernova burst consensus for high-throughput chains,'' Lux Partners Limited Limited, 2023.
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\bibitem{bagaria2019prism} V. Bagaria et al., ``Prism: Deconstructing the blockchain to approach physical limits,'' in \emph{CCS}, 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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\end{thebibliography}
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