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36 lines
1.6 KiB
TeX
36 lines
1.6 KiB
TeX
\section{Introduction}
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\label{sec:introduction}
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Standard metastable consensus protocols assume a well-connected network where each
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validator can reach any other validator with bounded delay. This assumption fails in
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several important settings:
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\begin{itemize}[nosep]
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\item \textbf{Geographic distribution}: Validators in remote regions may have limited
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connectivity to the broader network.
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\item \textbf{Network partitions}: Temporary partitions create disconnected components
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that must eventually reconcile.
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\item \textbf{Bootstrap phase}: New blockchain networks start with few validators,
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gradually growing the validator set.
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\item \textbf{Appchains}: Lux appchains may have small validator sets (10--50 nodes)
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with high churn rates.
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\end{itemize}
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Nebula adapts the metastable consensus framework to operate under these conditions by
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replacing uniform random sampling with stratified neighborhood sampling, ensuring that
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even in sparse networks, the consensus dynamics converge to agreement.
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\paragraph{Contributions.}
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\begin{enumerate}[nosep]
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\item The Nebula stratified sampling protocol for sparse networks (\S\ref{sec:protocol}).
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\item A random geometric graph model of sparse network consensus (\S\ref{sec:model}).
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\item Convergence proofs under the expansion factor framework (\S\ref{sec:convergence}).
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\item Safety and liveness analysis for sparse and partitioned networks (\S\ref{sec:safety}).
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\item Empirical evaluation under packet loss and churn (\S\ref{sec:evaluation}).
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\end{enumerate}
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%% -----------------------------------------------------------------------
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%% 2. SPARSE NETWORK MODEL
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%% -----------------------------------------------------------------------
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