bachelorThesis/spatial_resource_waste/spatial_resource_waste.ipynb

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{
"cells": [
{
"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import sys\n",
"import glob\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
"outputs": [],
"source": [
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"DIR = \"/Users/maggicl/Git/bachelorThesis/spatial_resource_waste/\""
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]
},
{
"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
"outputs": [],
"source": [
"def plot_df(df, cluster, type_of_data):\n",
" s = df.sum()\n",
" print(\"Cluster \" + cluster + \":\")\n",
" df[\"cpu\"] = df[\"cpu\"] / s[\"cpu\"]\n",
" df[\"ram\"] = df[\"ram\"] / s[\"ram\"]\n",
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" \n",
" latex = df.copy()\n",
" latex[\"cpu\"] = latex[\"cpu\"] * 100\n",
" latex[\"ram\"] = latex[\"ram\"] * 100\n",
" print(latex.to_latex()) \n",
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"\n",
" df2 = df.copy()\n",
" df[\"kind\"] = \"cpu\"\n",
" df[\"percent\"] = df[\"cpu\"]\n",
" del df[\"cpu\"]\n",
" del df[\"ram\"]\n",
" \n",
" df2[\"kind\"] = \"ram\"\n",
" df2[\"percent\"] = df2[\"ram\"]\n",
" del df2[\"cpu\"]\n",
" del df2[\"ram\"]\n",
" \n",
" df = pd.concat([df, df2])\n",
" \n",
" bottom = [0, 0]\n",
" lines = []\n",
" for t in [-1,4,5,6,7,8]:\n",
" lines.append(plt.bar(x=df[df.term==t][\"kind\"], bottom=bottom,\n",
" height=df[df.term==t][\"percent\"]))\n",
" bottom += df[df.term==t][\"percent\"].values\n",
" plt.legend(lines, [\"No termination\", \"EVICT\", \"FAIL\", \"FINISH\", \"KILL\", \"LOST\"],\n",
" bbox_to_anchor=(1,1))\n",
" plt.title(type_of_data + \" spatial resource waste (cluster \" + cluster + \")\")\n",
" plt.show()"
]
},
{
"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster a:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.697158 & 1.044663 \\\\\n",
"1 & 6 & 1.396250 & 1.106569 \\\\\n",
"2 & 5 & 2.279234 & 2.838677 \\\\\n",
"3 & 4 & 13.439164 & 11.818397 \\\\\n",
"4 & 8 & 0.009127 & 0.009052 \\\\\n",
"5 & 7 & 82.179067 & 83.182642 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster b:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.258227 & 0.463674 \\\\\n",
"1 & 6 & 2.587750 & 1.223111 \\\\\n",
"2 & 5 & 6.294957 & 8.384084 \\\\\n",
"3 & 4 & 4.833987 & 7.312033 \\\\\n",
"4 & 8 & 0.003562 & 0.002727 \\\\\n",
"5 & 7 & 86.021517 & 82.614370 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster c:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.337613 & 0.381173 \\\\\n",
"1 & 6 & 2.939888 & 3.324938 \\\\\n",
"2 & 5 & 1.229367 & 2.080890 \\\\\n",
"3 & 4 & 8.209896 & 8.045434 \\\\\n",
"4 & 8 & 0.009253 & 0.008758 \\\\\n",
"5 & 7 & 87.273984 & 86.158807 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAEICAYAAABlHzwDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deXxU9b0+8OfJQgi7CWkEkhBlD0sUcuGCWr0ot6C4/FgUXEBa1KAUq1bB29ZbubdU67VaV1RqJRW3iygYA1hK1VbUa1RC2IlsIRCNAVklIcnn98c5Y4dxQiZkYE6S5/16zYs553znzOfMHPLM93vOzKGZQURERLwjKtIFiIiIyPEUziIiIh6jcBYREfEYhbOIiIjHKJxFREQ8RuEsIiLiMQrnRozkr0m+6IE6DpE8O4R26SSNZMzpqEvqh2QcyfUkz6yjXaN7H0kOILkq0nWIhErh3AAk3yW5j2RciO1vJPmPU13XqeRu81T/eWbWxsy2RqomAUheRHJXA1dzM4D3zaw0HDXVJdi+dKqY2RoA35C8/HQ8n0hDKZxPEsl0ABcAMABXRLSYJsgrvTKv1HGa3ALgz5EuIlQko+v5kAVwtlHE8xTOJ28SgI8AvABgsv8CkqkkF5EsI1lO8gmSfQDMBTDUHQb+xm17XO8hsHdN8g8ki0keIPkpyQtCKY5kR5K5JL8huZfk30lGucu2k7zXHcLcR/JPJFu6y85wH1fmLsslmeIu+w2cDyRPuNvwhDvfSHZ3719G8nO33mKSvw71BXXrmklyDYDDJGNI/ivJVe52FJC8KOC12kryIMltJK9z50eR/CXJHSS/IplDsr277Hs9TPd5L3Hv/5rkQpIvkjwA4EaSCe5rtNt9Td70e+xokqvd+laRHFDLtt1P8nH3fizJwyR/507HkzxK8gx3+n9JlpLcT/J9kn391nOp+74dJFlC8uckWwNYCqCz+74cItnZfR1mkfzC3Q9fI5lQS31pALoB+NhvXjzJh93XcT/Jf5CMr+V9u8Rv+rvDLSRbuq9lufsafUIy+QT7Um+Sf3H32U0kr/Zb7wsknyaZR/IwgH8LUkut7xWAdwFczBBHukQiysx0O4kbgCIAtwIYBOAYgGR3fjSAAgCPAGgNoCWA891lNwL4R8B63gUw1W/6uDYArgeQCCAGwF0ASgG0dJf9GsCLtdT3WzgfBmLd2wUA6C7bDmAtgFQACQA+APDf7rJEAGMBtALQFsD/AniztnrdeQagu3v/IgD94XzwGwDgSwBXucvS3bYxtdS8HcBqt654AF0AlAO41F3fCHc6yX1tDwDo5T62E4C+7v0fu+/P2QDaAFgE4M9+9e0K8ryX+L2mxwBc5T5nPIC3AbwK4Az3tbzQbTsQwFcAhrjv+2R3XXFBtm04gEL3/jAAXwD42G9ZgV/bH7uvfRyARwGs9lu2B8AF7v0zAAw8wXb9DM4HyBR3Xc8AeLmW1/4yAOsC5j3pvt9d3O0b5q7nuPfR//UL3C/h9FTfgrM/RcP5/9Kuln2/NYBiAFPg7O8DAXzt976+AGA/gPPc96ZlkO0I+l75LT8AYECk/37opltdN/WcTwLJ8wF0BfCamX0K5w/tte7iwQA6A7jbzA6b2VEzO+njzGb2opmVm1mVmT0M549jrxAeegxOYHU1s2Nm9ncz8/8h9SfMrNjM9gL4DYCJ7vOVm9nrZnbEzA66yy6sR73vmlmhmdWYc5zv5fo8HsBjbl3fwvlgkmdmee76/gIgH05YA0ANgH4k481sj5mtc+dfB+D3ZrbVzA4BuBfABIY+RP2hmb1pZjUAOgAYBSDbzPa5r+V7brubADxjZh+bWbWZzQdQAeBfg60TQA+SiQB+COCPALqQbAPn9fGtE2b2vJkdNLMKOEGX6ev5w3lfM0i2c+v57ATbcQuAX5jZLr91javldegA4KBvgs4oy48B3G5mJe72rXLXUx/H4Hzg6+6u41MzO1BL29EAtpvZn9z9/TMArwMY59dmsZl94O4PR/0fTLITan+vfA662yriaQrnkzMZwDtm9rU7/RL+ObSdCmCHmVWF44lI3kVygzus+A2A9gA6hvDQh+D0Ht9xh35nBSwv9ru/A84HCpBsRfIZdyjzAID3AXRgiMf3SA4h+Tc6w+L7AWSHWG+wuroCGO8Oh37jbv/5ADqZ2WEA17jr30PybZK93cd1drfJf/tiACSfRA2pAPaa2b4g7boCuCugvlT3+Y/jftjIhxPEP4QTxqvg9AK/C2eS0SQfcIeiD8DplQL/fA3HwvlwsoPkeySHnmA7ugJ4w6+2DQCqEfx12Aent+7TEc6ozxcnWH8o/gxgOYBX3KHm35GMPUG9QwJez+sA+J89Xhz8oQBO/F75tAXwTT3qF4kIhXM9ucfcrgZwoXtcsBTAHXB6N5lw/nik1dI7CXYJsMNwhvx8vvtDROf48kz3+c4wsw5whvVYV51uz+suMzsbwOUA7iR5sV+TVL/7aQB2u/fvgtMzH2Jm7eAECfyes67LmL0EYAmAVDNrD2dovc56/Uv3u18MZzi6g9+ttZk94G7jcjMbAWeEYCOA59zH7Ybzh95/+6rgDLEf93q7HzqS6qghgWSw3lYxgN8E1NfKzF6uZdvegzOEfS6AT9zpH8EZbXnfbXMtgCsBXALng1i6r1R3mz8xsysB/ADAmwBeC1Kzf32jAupraWYlQdquAXC23377NYCjcI5D16XWfdjtvd5vZhlwhsVHwzlfI1jNxQDeC6i3jZlN82tzov3vRO8VSHYG0ALAphC2SSSiFM71dxWc3kcGgHPcWx8Af4fzR+f/4BwXfIBka/eEmPPcx34JIIVkC7/1rQYwxu2xdgfwE79lbeGEShmAGJL3AWgXSpF0TlTqTpJwjrNVuzef20imuCcI/Qec43S+5/wWztdOEgD8Z8Cqv4RzLLc2beH0Xo6SHIx/DvefjBcBXE7yR26PsiWdE7pS3JOKrqBzMlQFgEN+2/cygDtInuUOG88B8Ko7mrEZQEs6J67FAvglnEMFQZnZHjgnWz1F52S5WJK+DyzPAch2Rwvovt+XkWxby+reg7OPrDezSrjHXAFsM7Myt01bd3vK4QTeHN+DSbYgeR3J9mZ2DP98XwHnfUn0G/4GnA9GvyHZ1X18Eskra9nOXQC2wPmgAHdI/3kAv6dzclk0yaG1nEy1Gs5hg1iSWfAbhib5byT7ux+CDsAZ5vav2X9fygXQk+QN7rpiSf4LnZMp61THewU4x+VXnsTQvMhpp3Cuv8kA/mRmO82s1HcD8AScITjC6al2B7ATwC44w68AsBLAOgClJH1D4o8AqITzh2o+nK97+CyH88dmM5yh2aM48bCevx4AVsAJrQ8BPGVm7/otfwnAOwC2urf/duc/CuckqK/hnEy0LGC9f4Bz3HIfyceCPO+tAGaTPAjgPvyzZ1dvZlYMpxf5H3A+oBQDuBvOfhsFp5e/G8BeOEPDt7oPfR7OcOr7ALbBed1+6q5zv9tuHoASOL2+ur4ffAOcUNkI5wSwn7nryodz3PkJOMPCRXBO6KvNKjivra+XvN6t7X2/Njlw3usSd/lHQWrZ7g55Z8M5Lg8z2wjnQ8lWd0i4M5z3agmcQxsH3XUNOUF9z7jr9/k5gEI4vfy9AB5E8L8Zv4LTw94H4H44+5bPmQAWwgnmDXA+oPh+OOe4fck9x+HfAUyA876Wus9Zn7Org75XruvgfGAR8Tzf2bvSjJDcDucs2RWRrkW8w+0Vfw7gYrcX2mSQ7A/gWTM70TF6Ec9oTj+wICIn4A73ZkS6jlPBzAoBKJil0dCwtoiIiMdoWFtERMRj1HMWERHxmIgdc+7YsaOlp6dH6ulFRBqlTz/99GszC/xuvjQxEQvn9PR05OfnR+rpRUQaJZI76m4ljZ2GtUVERDxG4SwiIuIxCmcRERGP0Y+QiIg0cp9++ukPYmJi5gHoB3W6GosaAGurqqqmDho06KvAhQpnEZFGLiYmZt6ZZ57ZJykpaV9UVJR+vKIRqKmpYVlZWUZpaek8AFcELtcnLBGRxq9fUlLSAQV
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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster d:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.499509 & 0.482199 \\\\\n",
"1 & 6 & 0.866571 & 0.891388 \\\\\n",
"2 & 5 & 3.028763 & 3.921395 \\\\\n",
"3 & 4 & 7.600152 & 9.065577 \\\\\n",
"4 & 8 & 0.003858 & 0.003044 \\\\\n",
"5 & 7 & 88.001148 & 85.636397 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster a:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.033962 & 0.193674 \\\\\n",
"1 & 4 & 2.838362 & 3.399075 \\\\\n",
"2 & 5 & 0.058335 & 0.069755 \\\\\n",
"3 & 6 & 0.000102 & 0.000151 \\\\\n",
"4 & 7 & 96.661332 & 95.799104 \\\\\n",
"5 & 8 & 0.407908 & 0.538242 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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
2021-04-13 14:13:15 +00:00
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster b:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.000094 & 0.000191 \\\\\n",
"1 & 4 & 0.003365 & 0.004696 \\\\\n",
"2 & 5 & 0.003061 & 0.004965 \\\\\n",
"3 & 6 & 0.012696 & 0.017647 \\\\\n",
"4 & 7 & 91.094839 & 85.573746 \\\\\n",
"5 & 8 & 8.885947 & 14.398756 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
2021-05-12 13:24:57 +00:00
"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster c:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.000105 & 0.000221 \\\\\n",
"1 & 4 & 0.008618 & 0.006991 \\\\\n",
"2 & 5 & 0.001261 & 0.001459 \\\\\n",
"3 & 6 & 0.015047 & 0.017003 \\\\\n",
"4 & 7 & 82.483146 & 79.698011 \\\\\n",
"5 & 8 & 17.491823 & 20.276314 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster d:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.000948 & 0.000128 \\\\\n",
"1 & 4 & 0.046057 & 0.006352 \\\\\n",
"2 & 5 & 0.023703 & 0.002770 \\\\\n",
"3 & 6 & 0.095353 & 0.012975 \\\\\n",
"4 & 7 & 95.468127 & 97.927565 \\\\\n",
"5 & 8 & 4.365813 & 2.050210 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
2021-05-12 13:24:57 +00:00
"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster e:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.015102 & 0.016472 \\\\\n",
"1 & 4 & 0.362088 & 0.321274 \\\\\n",
"2 & 5 & 0.051373 & 0.047377 \\\\\n",
"3 & 6 & 1.672195 & 1.310360 \\\\\n",
"4 & 7 & 97.899179 & 98.304482 \\\\\n",
"5 & 8 & 0.000063 & 0.000034 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster f:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.000114 & 0.000306 \\\\\n",
"1 & 4 & 0.007986 & 0.013466 \\\\\n",
"2 & 5 & 0.000913 & 0.002064 \\\\\n",
"3 & 6 & 0.013296 & 0.021751 \\\\\n",
"4 & 7 & 94.396548 & 90.227868 \\\\\n",
"5 & 8 & 5.581144 & 9.734546 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
2021-05-12 13:24:57 +00:00
"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster g:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.001283 & 0.000748 \\\\\n",
"1 & 4 & 0.034040 & 0.025278 \\\\\n",
"2 & 5 & 0.004384 & 0.003918 \\\\\n",
"3 & 6 & 0.176091 & 0.166656 \\\\\n",
"4 & 7 & 27.376816 & 30.954255 \\\\\n",
"5 & 8 & 72.407386 & 68.849146 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cluster h:\n",
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"\\begin{tabular}{lrrr}\n",
"\\toprule\n",
"{} & term & cpu & ram \\\\\n",
"\\midrule\n",
"0 & -1 & 0.000148 & 0.000022 \\\\\n",
"1 & 4 & 0.006021 & 0.000751 \\\\\n",
"2 & 5 & 0.000858 & 0.000144 \\\\\n",
"3 & 6 & 0.015642 & 0.001873 \\\\\n",
"4 & 7 & 78.910066 & 97.713322 \\\\\n",
"5 & 8 & 21.067264 & 2.283888 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
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]
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"for cluster in \"abcd\":\n",
" df = pd.read_csv(glob.glob(DIR + cluster + \"_actual/part-*\")[0], header=None,\n",
" names=[\"term\", \"cpu\", \"ram\"])\n",
" plot_df(df, cluster, \"Actual\")\n",
" \n",
"for cluster in \"abcdefgh\":\n",
" data = None\n",
" with open(DIR + cluster + \"_res_micros_requested.json\", \"r\") as f:\n",
" data = json.loads(f.read())\n",
" dfd = {'term': [], 'cpu': [], 'ram': []}\n",
" for term in [-1,4,5,6,7,8]:\n",
" dfd['term'].append(term)\n",
" dfd['cpu'].append(float(data[\"cpu-\" + (\"None\" if term == -1 else str(term))]))\n",
" dfd['ram'].append(float(data[\"ram-\" + (\"None\" if term == -1 else str(term))]))\n",
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" df = pd.DataFrame(dfd, columns=['term', 'cpu', 'ram'])\n",
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" plot_df(df, cluster, \"Requested\")"
]
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},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
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}
],
"metadata": {
"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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"version": "3.8.3"
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}
},
"nbformat": 4,
"nbformat_minor": 5
}