benchmarks/estimate_params.tex at main · Coded-Distributed-Array/benchmarks · GitHub

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\documentclass{article}

\usepackage{pgfplots}
\pgfplotsset{compat=1.18}
\usepackage[a4paper,margin=0.4cm]{geometry}
\usepgfplotslibrary{groupplots}
\usetikzlibrary{calc}

% ================= COLOR + MARKER CYCLE =================
\pgfplotscreateplotcyclelist{crda_rda_cycle}{
% --- CDA ---
{blue,   solid,  mark=*},
{red,    solid,  mark=square*},
{brown,  solid,  mark=triangle*},
% --- RDA ---
{green,  solid, mark=*},
{gray,   solid, mark=square*},
{purple, solid, mark=triangle*},
}

\begin{document}

\begin{figure*}[t]
\centering

\begin{tikzpicture}
\begin{groupplot}[
    group style={
        group size=2 by 4,
        horizontal sep=1.6cm,
        vertical sep=2.0cm,
        group name=epsgroup,
    },
    width=0.4\textwidth,
    height=5.5cm,
    grid=major,
    grid style={dashed, gray!30},
    xmode=log,
    ymode=log,
    cycle list name=crda_rda_cycle,
    legend style={
        draw=black,
        fill=white,
        fill opacity=0.9,
        text opacity=1,
        at={(0.97,0.97)},
        anchor=north east,
        font=\scriptsize,
        row sep=-2pt
    }
]

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ===================== EPS = 0.05 ========================
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% -------- k1 vs k2 (CDA side) --------
\nextgroupplot[
    xlabel={$k_2$},
    ylabel={},
    title={$k_1$},
]
\addplot+[mark repeat=20] table[x=k2,y=k1,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=k1,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=k1,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=k1,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=k1,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=k1,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{CDA $M=5k$, CDA $M=10k$, CDA $M=20k$}

% -------- k1 vs k2 (RDA side) --------
\nextgroupplot[
    xlabel={$k_2$},
    ylabel={},
    title={$k_1$},
    cycle list shift=3,
]
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=k1,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=k1,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=k1,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[mark repeat=20] table[x=k2,y=k1,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=k1,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=k1,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{RDA $M=5k$, RDA $M=10k$, RDA $M=20k$}

% -------- Duplication (CDA) --------
\nextgroupplot[xlabel={$k_2$}, ylabel={}, title={Replication Factor}]
\addplot+[mark repeat=20] table[x=k2,y=replication_factor,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=replication_factor,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=replication_factor,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=replication_factor,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=replication_factor,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=replication_factor,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{CDA $M=5k$, CDA $M=10k$, CDA $M=20k$}

% -------- Duplication (RDA) --------
\nextgroupplot[xlabel={$k_2$}, ylabel={}, title={Replication Factor}, cycle list shift=3]
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=replication_factor,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=replication_factor,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=replication_factor,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[mark repeat=20] table[x=k2,y=replication_factor,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=replication_factor,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=replication_factor,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{RDA $M=5k$, RDA $M=10k$, RDA $M=20k$}

% -------- Probagation Cost (CDA) --------
\nextgroupplot[xlabel={$k_2$}, ylabel={}, title={Propagation Cost}]
\addplot+[mark repeat=20] table[x=k2,y=probagation_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=probagation_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=probagation_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=probagation_complexity,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=probagation_complexity,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=probagation_complexity,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{CDA $M=5k$, CDA $M=10k$, CDA $M=20k$}

% -------- Probagation Cost (RDA) --------
\nextgroupplot[xlabel={$k_2$}, ylabel={}, title={Propagation Cost}, cycle list shift=3]
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=probagation_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=probagation_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=probagation_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[mark repeat=20] table[x=k2,y=probagation_complexity,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=probagation_complexity,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=probagation_complexity,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{RDA $M=5k$, RDA $M=10k$, RDA $M=20k$}

% -------- Historical Synchronization Cost (CDA) --------
\nextgroupplot[xlabel={$k_2$}, ylabel={}, title={Historical Synchronization Cost}]
\addplot+[mark repeat=20] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{CDA $M=5k$, CDA $M=10k$, CDA $M=20k$}

% -------- Historical Synchronization Cost (RDA) --------
\nextgroupplot[xlabel={$k_2$}, ylabel={}, title={Historical Synchronization Cost}, cycle list shift=3]
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M5000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M10000.csv};
\addplot+[draw=none, mark=none, forget plot] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/cda/estimates_k_16_eps10_M20000.csv};
\addplot+[mark repeat=20] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/rda/estimates_data_eps10_M5000.csv};
\addplot+[mark repeat=20] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/rda/estimates_data_eps10_M10000.csv};
\addplot+[mark repeat=20] table[x=k2,y=historical_synchronization_complexity,col sep=comma]{results/rda/estimates_data_eps10_M20000.csv};
\legend{RDA $M=5k$, RDA $M=10k$, RDA $M=20k$}

\end{groupplot}

\node[font=\bfseries, yshift=25mm] at
  ($ (epsgroup c1r1.east)!0.5!(epsgroup c2r1.west) $)
  {$\epsilon = 0.10$};

\node[font=\bfseries, yshift=25mm] at
($ (epsgroup c1r2.east)!0.5!(epsgroup c2r2.west) $)
{$\epsilon = 0.10$};

\node[font=\bfseries, yshift=25mm] at
  ($ (epsgroup c1r3.east)!0.5!(epsgroup c2r3.west) $)
  {$\epsilon = 0.10$};

\node[font=\bfseries, yshift=25mm] at
($ (epsgroup c1r4.east)!0.5!(epsgroup c2r4.west) $)
{$\epsilon = 0.10$};

\end{tikzpicture}

\caption{Comparison of CDA and RDA metrics with legendary in-plot boxes.}
\end{figure*}

\end{document}