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57 lines
1.4 KiB
TeX
57 lines
1.4 KiB
TeX
\section{Performance Metrics}
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\subsection{Update Latency}
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Oracle update latency breakdown for critical trading pairs:
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\begin{table}[h]
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\centering
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\begin{tabular}{lrr}
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\toprule
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\textbf{Component} & \textbf{Latency (ms)} & \textbf{Percentage} \\
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\midrule
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Data aggregation & 250 & 14.7\% \\
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Validation & 150 & 8.8\% \\
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Consensus & 500 & 29.4\% \\
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On-chain update & 800 & 47.1\% \\
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\midrule
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\textbf{Total} & \textbf{1700} & \textbf{100\%} \\
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\bottomrule
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\end{tabular}
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\caption{Oracle update latency breakdown (sub-2s for critical pairs)}
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\end{table}
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\subsection{Gas Costs}
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Optimized gas consumption for oracle operations:
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\begin{table}[h]
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\centering
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\begin{tabular}{lr}
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\toprule
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\textbf{Operation} & \textbf{Gas Cost} \\
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\midrule
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Single price update & 45,000 \\
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Batch update (10 prices) & 180,000 \\
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AI oracle request & 85,000 \\
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AI response callback & 120,000 \\
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Cross-chain relay & 65,000 \\
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\bottomrule
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\end{tabular}
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\caption{Gas costs for oracle operations}
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\end{table}
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\subsection{Reliability Metrics}
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System reliability over the past quarter:
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\begin{itemize}
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\item \textbf{Uptime}: 99.92\% (7 minutes downtime/month)
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\item \textbf{Success Rate}: 99.98\% of oracle updates successful
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\item \textbf{Data Accuracy}: 0.02\% average deviation from reference prices
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\item \textbf{Response Time}: P95 latency under 2 seconds
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\item \textbf{Throughput}: 1,000+ price updates per second capacity
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\end{itemize}
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