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papers/lux-consensus-engines/sections/prism-07-empirical-evaluation.tex
zeekay 1ecc25e9cf papers: consolidate Photon/Wave/Nova/Nebula/Ray/Field protocol stubs into lux-consensus-engines
The seven engine specifications (lux-{photon,wave,nova,nebula,prism,ray,field}-protocol)
were fragmented short notes documenting layers of the same Quasar consensus stack.
This commit merges them into a single canonical reference, lux-consensus-engines.tex,
that uses one preamble, one set of theorems, one bibliography, and one composition
chapter showing how the engines layer into the LP-020 finality pipeline.

The seven originals are reduced to single-page breadcrumb stubs pointing at the
consolidated paper; their sections/ content is preserved on disk for git history.

- new: lux-consensus-engines/ (50 pages, 646KB PDF, ~2900 lines tex)
- breadcrumbs: each original keeps cover + title + stub paragraph naming its chapter
- composition: chapter 9 records the layered contract Photon < Wave < Nova < ...
- bibliography: consolidated from the seven original thebibliography blocks
2026-05-13 01:02:25 -07:00

38 lines
1.2 KiB
TeX

\section{Empirical Evaluation}
\label{sec:prism-evaluation}
\subsection{Scaling Experiments}
\begin{table}[h]
\centering
\begin{tabular}{@{}rrrr@{}}
\toprule
\textbf{Bands $B$} & \textbf{TPS} & \textbf{Scaling Efficiency} & \textbf{Latency (median)} \\
\midrule
1 & 4,200 & 100\% & 500ms \\
2 & 8,100 & 96\% & 500ms \\
4 & 15,800 & 94\% & 520ms \\
8 & 30,500 & 91\% & 540ms \\
16 & 50,400 & 75\% & 580ms \\
32 & 78,000 & 58\% & 650ms \\
\bottomrule
\end{tabular}
\caption{Prism throughput scaling with spectrum bands on 1,000-node testnet}
\label{tab:prism-scaling}
\end{table}
Prism achieved near-linear scaling up to 8 bands, with 50,400 TPS at 16 bands (75\%
efficiency). The efficiency drop at higher band counts is due to increased message size
(each query carries preferences for all bands) and combiner synchronization overhead.
\subsection{Direct Voting Impact}
With direct voting enabled, 85\% of transactions (those with no conflict) finalized
in a single round (50ms), dramatically reducing average latency to 120ms while
maintaining the same throughput.
%% -----------------------------------------------------------------------
%% 8. CONCLUSION
%% -----------------------------------------------------------------------