bachelorThesis/spatial_resource_waste/spatial_resource_waste.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "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",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "DIR = \"/Users/maggicl/Git/bachelorThesis/spatial_resource_waste/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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",
    "    \n",
    "    latex = df.copy()\n",
    "    latex[\"cpu\"] = latex[\"cpu\"] * 100\n",
    "    latex[\"ram\"] = latex[\"ram\"] * 100\n",
    "    print(latex.to_latex()) \n",
    "\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",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cluster a:\n",
      "\\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"
     ]
    },
    {
     "data": {
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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
      "\\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "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",
    "    df = pd.DataFrame(dfd, columns=['term', 'cpu', 'ram'])\n",
    "    plot_df(df, cluster, \"Requested\")"
   ]
  },
  {
   "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": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}