papers/lux-fpc-consensus/sections/15-implementation-details.tex

\section{Implementation Details}

\label{sec:implementation}

The reference implementation in Go demonstrates key optimizations:

\subsection{Caching Layer}

\begin{lstlisting}[language=Go, caption=Opinion caching for performance]
type OpinionCache struct {
    cache   map[CacheKey]Opinion
    ttl     time.Duration
    maxSize int
    mutex   sync.RWMutex
}

func (oc *OpinionCache) Get(node NodeID, txID TxID) (Opinion, bool) {
    oc.mutex.RLock()
    defer oc.mutex.RUnlock()
    
    key := CacheKey{node, txID}
    if op, exists := oc.cache[key]; exists {
        if time.Since(op.Timestamp) < oc.ttl {
            return op, true
        }
    }
    return Opinion{}, false
}
\end{lstlisting}

\subsection{Batch Processing}

\begin{lstlisting}[language=Go, caption=Batch consensus for multiple transactions]
func batchConsensus(txIDs []TxID) []Opinion {
    results := make([]Opinion, len(txIDs))
    samples := randomSample(k)
    
    // Single network round for all transactions
    responses := batchQuery(samples, txIDs)
    
    for i, txID := range txIDs {
        results[i] = processResponses(responses[txID])
    }
    
    return results
}
\end{lstlisting}