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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.
53 lines
1.5 KiB
TeX
53 lines
1.5 KiB
TeX
\section{Performance Analysis}
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\subsection{Query Performance}
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\begin{table}[h]
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\centering
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\begin{tabular}{@{}lrrr@{}}
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\toprule
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\textbf{Query Type} & \textbf{Latency} & \textbf{Gas Cost} & \textbf{Result Size} \\ \midrule
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Single node lookup & 2ms & 100 & 256 bytes \\
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Edge traversal (depth 1) & 5ms & 150 & 1 KB \\
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Cross-chain query & 8ms & 300 & 4 KB \\
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Aggregation (10k nodes) & 45ms & 50,000 & 512 bytes \\
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Path finding (depth 6) & 120ms & 120,000 & 2 KB \\
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Full-text search & 35ms & 80,000 & 8 KB \\ \bottomrule
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\end{tabular}
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\caption{G-Chain query performance benchmarks}
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\end{table}
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\subsection{Storage Efficiency}
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\textbf{BadgerDB Characteristics:}
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\begin{itemize}
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\item Write throughput: 500k writes/sec
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\item Read throughput: 2M reads/sec
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\item Compression: 3-5× using Snappy
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\item Memory footprint: 64 MB per 1M nodes
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\item Disk usage: 120 GB for full network state (8 chains)
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\end{itemize}
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\textbf{Verkle Trie Overhead:}
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\begin{itemize}
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\item Commitment size: 32 bytes per trie node
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\item Proof size: 1-2 KB for membership proofs
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\item Update cost: 5ms per state root commit
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\end{itemize}
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\subsection{Horizontal Scaling Performance}
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\begin{table}[h]
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\centering
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\begin{tabular}{@{}lrrrr@{}}
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\toprule
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\textbf{Node Type} & \textbf{Disk} & \textbf{RAM} & \textbf{Sync Time} & \textbf{QPS} \\ \midrule
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Full Sync & 120 GB & 16 GB & 4 hours & 5,000 \\
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Chain Sync (C+X) & 40 GB & 6 GB & 1.5 hours & 12,000 \\
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App Sync (DeFi) & 8 GB & 2 GB & 20 minutes & 25,000 \\ \bottomrule
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\end{tabular}
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\caption{Node deployment characteristics}
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\end{table}
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