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4 changed files with 1672 additions and 36 deletions
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machine_configs/machine_configs-Copy1.ipynb
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1585
machine_configs/machine_configs-Copy1.ipynb
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@ -2,7 +2,6 @@
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"cells": [
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{
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"cell_type": "markdown",
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"id": "776f8aa3",
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"metadata": {},
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"source": [
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"# Statuses total time\n",
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@ -13,7 +12,6 @@
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "7c77e2f1",
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"metadata": {},
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"outputs": [],
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"source": [
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@ -35,7 +33,6 @@
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "cc6d3e6a",
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"metadata": {},
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"outputs": [],
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"source": [
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@ -57,7 +54,6 @@
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "44c77966",
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"metadata": {},
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"outputs": [],
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"source": [
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@ -67,7 +63,6 @@
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "8038bdb2",
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "markdown",
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"id": "31fdf065",
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"metadata": {},
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"source": [
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"## Graph 1: Absolute total time spent per status per \"last termination\" type"
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@ -145,7 +139,6 @@
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "f44fef5d",
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"metadata": {},
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"outputs": [],
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"source": [
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@ -161,7 +154,6 @@
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},
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{
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"cell_type": "markdown",
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"id": "41bcaff4",
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"metadata": {},
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"source": [
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"## Graph 2: Relative total time spent per status per \"last termination\" type\n",
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@ -172,7 +164,6 @@
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "3ba51241",
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"metadata": {},
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"outputs": [],
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"source": [
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@ -201,7 +192,6 @@
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "8fc1b568",
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"metadata": {},
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"outputs": [
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{
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@ -388,7 +378,6 @@
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "5d112e3c",
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"metadata": {},
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"outputs": [
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{
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "45819798",
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"metadata": {},
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"outputs": [],
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"source": []
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@ -431,7 +419,6 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7ebdc37c",
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"metadata": {},
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"outputs": [],
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"source": []
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@ -439,7 +426,6 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "81f69410",
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"metadata": {},
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"outputs": [],
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"source": []
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv",
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"display_name": "Python 3",
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"language": "python",
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"name": "venv"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.5"
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"version": "3.8.3"
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}
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},
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"nbformat": 4,
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Binary file not shown.
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\newcommand{\machineconfigs}[3][0.9\textwidth]{
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\begin{subfigure}{0.32\textwidth}
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\begin{minipage}[c][#1]{\textwidth}%
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\newcommand{\machineconfigs}[4][0.32\textwidth]{
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\begin{subfigure}{#1}
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\vspace{0.5cm}
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\resizebox{\textwidth}{!}{
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\centering
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\begin{tabular}{llll}
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@ -10,14 +10,61 @@
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\midrule
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#3
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\bottomrule
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#4
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\end{tabular}}
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\end{minipage}
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\caption{#2}
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\end{subfigure}}
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\begin{figure}
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\centering
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\machineconfigs[1.2\textwidth]{All clusters}{
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\newcommand{\sidesplit}[5][0.33]{%
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\begin{subfigure}{\textwidth}
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\centering
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\begin{minipage}{#1\textwidth}
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\resizebox{\textwidth}{!}{#2}
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\end{minipage}
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\begin{minipage}{#1\textwidth}
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\resizebox{\textwidth}{!}{#3}
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\end{minipage}
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\begin{minipage}{#1\textwidth}
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\resizebox{\textwidth}{!}{#4}
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\end{minipage}
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\caption{#5}
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\end{subfigure}}
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\begin{figure}[p]
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\sidesplit[0.20]{\begin{tabular}{llll}
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\toprule
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\textbf{CPU} & \textbf{RAM} & \textbf{\% Machines} \\
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\midrule
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0.5 & 0.5 & 53.47\%\\
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0.5 & 0.25 & 30.74\%\\
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0.5 & 0.75 & 7.95\%\\
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1 & 1 & 6.32\%\\
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\bottomrule
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\end{tabular}}{\begin{tabular}{llll}
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\toprule
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\textbf{CPU} & \textbf{RAM} & \textbf{\% Machines} \\
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\midrule
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0.25 & 0.25 & 0.99\%\\
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0.5 & 0.12 & 0.43\%\\
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0.5 & 0.03 & 0.04\%\\
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&&\\
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\bottomrule
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\end{tabular}}{\begin{tabular}{llll}
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\toprule
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\textbf{CPU} & \textbf{RAM} & \textbf{\% Machines} \\
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\midrule
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0.5 & 0.97 & 0.03\%\\
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1 & 0.5 & 0.02\%\\
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0.5 & 0.06 & 0.01\%\\
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&&\\
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\bottomrule
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\end{tabular}}{2011 data}\vspace{0.5cm}
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\sidesplit{\begin{tabular}{llll}
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\toprule
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\textbf{CPU (NCU)} & \textbf{RAM (NMU)} & \textbf{Machine count} &
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\textbf{\% Machines} \\
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\midrule
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Unknown & Unknown & 8729 & 1.639218\% \\
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1.000000 & 0.500000 & 124234 & 23.329891\% \\
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0.591797 & 0.333496 & 103013 & 19.344801\% \\
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@ -26,6 +73,12 @@ Unknown & Unknown & 8729 & 1.639218\% \\
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0.386719 & 0.333496 & 36237 & 6.804943\% \\
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0.958984 & 0.500000 & 31151 & 5.849843\% \\
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0.708984 & 0.666992 & 29594 & 5.557454\% \\
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\bottomrule
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\end{tabular}}{\begin{tabular}{llll}
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\toprule
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\textbf{CPU (NCU)} & \textbf{RAM (NMU)} & \textbf{Machine count} &
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\textbf{\% Machines} \\
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\midrule
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0.386719 & 0.166748 & 27011 & 5.072393\% \\
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1.000000 & 1.000000 & 12286 & 2.307187\% \\
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0.591797 & 0.166748 & 9902 & 1.859496\% \\
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0.259277 & 0.333496 & 3024 & 0.567877\% \\
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0.591797 & 0.666992 & 1000 & 0.187790\% \\
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0.259277 & 0.083374 & 634 & 0.119059\% \\
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\bottomrule
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\end{tabular}}{\begin{tabular}{llll}
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\toprule
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\textbf{CPU (NCU)} & \textbf{RAM (NMU)} & \textbf{Machine count} &
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\textbf{\% Machines} \\
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\midrule
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0.958984 & 0.250000 & 600 & 0.112674\% \\
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0.500000 & 0.062500 & 54 & 0.010141\% \\
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0.500000 & 0.250000 & 34 & 0.006385\% \\
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0.591797 & 0.250000 & 4 & 0.000751\% \\
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0.708984 & 0.500000 & 2 & 0.000376\% \\
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0.479492 & 0.500000 & 2 & 0.000376\% \\
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}
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\machineconfigs[1.2\textwidth]{A cluster}{
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\bottomrule
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\end{tabular}}{2019 data}
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\caption{Overview of machine configurations in term of CPU and Memory power in 2011 and 2019 (all clusters aggregated) traces. In the 2019 traces NCU stands for ``Normalized Compute Unit'' and NMU stands for ``Normalized Compute Unit'': both are $[0,1]$ normalizations of resource values. While memory was measured in terms of capacity, CPU power was measured in ``Google Compute Units'' (GCUs), an opaque umbrella metric used by Google that factors in CPU clock, number of cores/processors, and CPU ISA architecture.}\label{fig:machineconfigs}
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\end{figure}
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\begin{figure}[p]
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\centering
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\machineconfigs{A cluster}{
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Unknown & Unknown & 1377 & 1.623170\% \\
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0.591797 & 0.333496 & 29487 & 34.758469\% \\
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1.000000 & 0.500000 & 13440 & 15.842705\% \\
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1.000000 & 0.250000 & 366 & 0.431431\% \\
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0.479492 & 0.250000 & 6 & 0.007073\% \\
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0.708984 & 0.250000 & 6 & 0.007073\% \\
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}
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\machineconfigs[1.2\textwidth]{Cluster B}{
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}{}
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\machineconfigs{Cluster B}{
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Unknown & Unknown & 134 & 0.264812\% \\
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0.591797 & 0.333496 & 16184 & 31.982926\% \\
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1.000000 & 0.500000 & 9790 & 19.347061\% \\
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0.958984 & 1.000000 & 618 & 1.221296\% \\
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0.591797 & 0.666992 & 500 & 0.988103\% \\
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0.386719 & 0.166748 & 412 & 0.814197\% \\
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}
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}{\\\\}
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\machineconfigs{Cluster C}{
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Unknown & Unknown & 1466 & 2.274208\% \\
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0.259277 & 0.166748 & 15754 & 24.439204\% \\
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0.708984 & 0.333496 & 620 & 0.961807\% \\
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0.958984 & 0.250000 & 600 & 0.930781\% \\
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0.591797 & 0.166748 & 112 & 0.173746\% \\
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}
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}{}
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\machineconfigs{Cluster D}{
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Unknown & Unknown & 498 & 0.794309\% \\
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0.591797 & 0.333496 & 28394 & 45.288376\% \\
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1.000000 & 0.500000 & 292 & 0.465739\% \\
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0.591797 & 0.250000 & 4 & 0.006380\% \\
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0.708984 & 0.500000 & 2 & 0.003190\% \\
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}
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}{\\\\}
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\machineconfigs{Cluster E}{
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Unknown & Unknown & 536 & 0.671915\% \\
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0.259277 & 0.166748 & 38452 & 48.202377\% \\
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1.000000 & 1.000000 & 138 & 0.172993\% \\
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0.500000 & 0.062500 & 54 & 0.067693\% \\
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0.500000 & 0.250000 & 4 & 0.005014\% \\
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}
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}{}
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\machineconfigs{Cluster F}{
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Unknown & Unknown & 1432 & 2.299958\% \\
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1.000000 & 0.500000 & 41340 & 66.396839\% \\
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0.386719 & 0.333496 & 398 & 0.639234\% \\
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1.000000 & 1.000000 & 344 & 0.552504\% \\
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0.500000 & 0.250000 & 18 & 0.028910\% \\
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}
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}{\\\\}
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\machineconfigs{Cluster G}{
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Unknown & Unknown & 1566 & 2.261568\% \\
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0.259277 & 0.166748 & 15852 & 22.892958\% \\
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0.500000 & 0.250000 & 12 & 0.017330\% \\
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0.479492 & 0.250000 & 6 & 0.008665\% \\
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0.479492 & 0.500000 & 2 & 0.002888\% \\
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}
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}{}
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\machineconfigs{Cluster H}{
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Unknown & Unknown & 1720 & 2.933251\% \\
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1.000000 & 0.500000 & 36324 & 61.946178\% \\
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0.708984 & 0.666992 & 766 & 1.306320\% \\
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0.591797 & 0.666992 & 500 & 0.852689\% \\
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0.958984 & 1.000000 & 200 & 0.341076\% \\
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}
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\caption{Overview of machine configurations in terms of CPU and RAM resources for each cluster}\label{fig:machineconfigs}
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}{\\\\\\\\\\}
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\caption{Overview of machine configurations in terms of CPU and RAM resources for each cluster in the 2019 traces. Refer to figure~\ref{fig:machineconfig} for a column legend.}\label{fig:machineconfigs-csts}
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\end{figure}
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