{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Estimation de la latence et de la capacité d’une connexion à partir de mesures asymétriques" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Un modèle simple et fréquemment utilisé pour décrire la performance d'une connexion de réseau consiste à supposer que le temps d'envoi T pour un message dépend principalement de sa taille S (nombre d'octets) et de deux grandeurs propres à la connexion : la latence L (en secondes) et la capacité C (en octets/seconde). La relation entre ces quatre quantités est ___T(S) = L + S/C___. Ce modèle néglige un grand nombre de détails. D'une part, L et C dépendent bien sûr du protocole de communication choisi mais aussi dans une certaine mesure de S. D'autre part, la mesure de T(S) comporte en général une forte composante aléatoire. Nous nous intéressons ici au temps moyen qu'il faut pour envoyer un message d'une taille donnée." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous allons estimer L et C à partir d'une série d'observations de T pour des valeurs différentes de S. Notre analyse commence avec la lectures des données brutes, disponibles pour deux connexions différentes, qui ont été obtenues avec l'outil ping." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Les deux fichiers contiennent la sortie brute de l'outil ping qui a été exécuté dans une boucle en variant de façon aléatoire la taille du message. Chaque ligne a la forme suivante:\n", "\n", "__[1421761682.052172] 665 bytes from lig-publig.imag.fr (129.88.11.7): icmp_seq=1 ttl=60 time=22.5 ms__\n", "\n", "Au début, entre crochet, nous trouvons la date à laquelle la mesure a été prise, exprimée en secondes depuis le 1er janvier 1970. La taille du message en octets est donnée juste après, suivie par le nom de la machine cible et son adresse IP, qui sont normalement identiques pour toutes les lignes à l'intérieur d'un jeu de données. À la fin de la ligne, nous trouvons le temps d'envoi (aller-retour) en millisecondes. Les autres indications, icmp_seq et ttl, n'ont pas d'importance pour notre analyse" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 1er jeu de données" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous commencons par travailler sur le 1er jeu de données qui examine une connexion courte à l'intérieur d'un campus." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous lisons le fichiers et récupérons les données intérésantes : la date (convertie de secondes à année-mois-jour), la taille des messages, la machine cible et les adresses IP. Nous gardons aussi le temps de transmission, si celui-ci n'est pas présent la ligne n'est pas gardée. Les données sont ensuite triées en fonction de la date." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "fichier_1 = open(\"liglab2.log\").readlines()\n", "fichier_1 = [l for l in fichier_1 if 'time' in l]\n", "raw_data = [l.split(' ') for l in fichier_1]\n", "data = [ [d[0][1:-1], int(d[1]), d[4], d[5][1:-2], float(d[8].split('=')[1])] for d in raw_data]\n", "data = pd.DataFrame(data, columns=['date', 'taille', 'cible', 'IP', 'temps'])\n", "data['date'] = pd.to_datetime(data['date'], unit='s')\n", "sorted_data = data.set_index('date').sort_index()\n", "#sorted_data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous vérfions que toutes les données proviennents de la même machine cible. Ici pas de problème." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "lig-publig.imag.fr 44036\n", "Name: cible, dtype: int64" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sorted_data['cible'].value_counts()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "129.88.11.7 44036\n", "Name: IP, dtype: int64" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sorted_data['IP'].value_counts()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1 ) Temps de transmission au cours du temps" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous regardons ici le temps de transmission. (Le notebook plante lorsque trop de données sont affichées en même temps dans les graphiques)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Temps de transmission (ms)')" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sorted_data['temps'].iloc[100:400].plot()\n", "plt.ylabel(\"Temps de transmission (ms)\")\n", "plt.figure()\n", "sorted_data['temps'].iloc[10000:10500].plot()\n", "plt.ylabel(\"Temps de transmission (ms)\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On observe des pics du temps de transmission qui ne correspondent pas à un phénomène àléatoire utilisé pour définir la tailles des messages envoyés. La taille des messages n'explique donc pas à elle seule le temps de transmission." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2) Temps de transmission en fonction de la taille des messages" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous regardons maintenant le temps de transmission en fonction de la taille des messages" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Temps de transmission (ms)')" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(sorted_data['taille'].iloc[:10000], sorted_data['temps'].iloc[:10000], '+')\n", "plt.xlabel(\"taille message (bytes)\")\n", "plt.ylabel(\"Temps de transmission (ms)\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous changons l'échelle de l'axe des ordonnées." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0, 3)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(sorted_data['taille'].iloc[10000:11000], sorted_data['temps'].iloc[10000:11000], '+')\n", "plt.xlabel(\"taille message (bytes)\")\n", "plt.ylabel(\"Temps de transmission (ms)\")\n", "plt.ylim([0,3])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous remarquons une rupture dans le temps de transmission à appartir de 1500 bytes. Nous étudierons séparément les messages de plus de 1500 bytes et ceux de moins de 1500 bytes." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "limite = 1500" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3) Estimation de L et C" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Estimons maintenant L et C sur les deux groupes de messages à l'aide d'une régression linéaire.\n", "Nous commençons par les messages de moins de 1500 bytes." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "from sklearn import linear_model\n", "model = linear_model.LinearRegression()\n", "X = sorted_data[sorted_data['taille']]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(X[:100],y[:100],'+')\n", "x = np.linspace(0,limite, 100)\n", "plt.plot(x, L_m_limite + x/C_m_limite)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Même excercice avec les messages de plus de 1500 bytes" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "L = 4.920748136138777\n", "C = 359.78126382483623\n" ] }, { "data": { "text/plain": [ "[]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from sklearn import linear_model\n", "model = linear_model.LinearRegression()\n", "X = sorted_data[sorted_data['taille']>limite].taille.iloc[:].values.reshape(-1, 1)\n", "y = sorted_data[sorted_data['taille']>limite].temps.iloc[:].values.reshape(-1, 1)\n", "results = model.fit(X, y)\n", "L_p_limite = float(results.intercept_)\n", "C_p_limite = float(1/ results.coef_)\n", "print(\"L = \", L_p_limite)\n", "print(\"C = \", C_p_limite)\n", "plt.plot(X[:100],y[:100],'+')\n", "x = np.linspace(limite,2000, 100)\n", "plt.plot(x, L_p_limite + x/C_p_limite)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0, 20)" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(sorted_data['taille'].iloc[10000:15000], sorted_data['temps'].iloc[10000:15000], '+')\n", "x = np.linspace(0,limite, 100)\n", "plt.plot(x, L_m_limite + x/C_m_limite)\n", "x = np.linspace(limite,2000, 100)\n", "plt.plot(x, L_p_limite + x/C_p_limite)\n", "plt.xlabel(\"taille message (bytes)\")\n", "plt.ylabel(\"Temps de transmission (ms)\")\n", "plt.ylim([0,20])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour des messages de moins de 1500 bytes nous tronvons des valeurs de 3.13 ms et 1620 b/s pour respectivement L et C. Pour des messages de plus de 1500 bytes ses valeurs passent à 4.92 ms et 360 b/s. Cependant la variabilité est tellement forte que la regression appliquée comme cela à été fait ne représententpas bien les mesures." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# 2ème jeu de données\n", "Nous travaillons maintenant sur le 2ème jeu de données qui examine la performance d'une connexion vers un site Web éloigné assez populaire et donc chargé.\n", "\n", "De la même manière que pour le jeu de données précédents nous lisons le fichiers et récupérons les données intérésantes : la date (convertie de secondes à année-mois-jour), la taille des messages, la machine cible et les adresses IP. Nous gardons aussi le temps de transmission, si celui-ci n'est pas présent la ligne n'est pas gardée. Les données sont ensuite triées en fonction de la date." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "fichier_2 = open(\"stackoverflow.log\").readlines()\n", "fichier_2 = [l for l in fichier_2 if 'time' in l]\n", "raw_data = [l.split(' ') for l in fichier_2]\n", "data = [ [d[0][1:-1], int(d[1]), d[4], d[5][1:-2], float(d[8].split('=')[1])] for d in raw_data]\n", "data = pd.DataFrame(data, columns=['date', 'taille', 'cible', 'IP', 'temps'])\n", "data['date'] = pd.to_datetime(data['date'], unit='s')\n", "sorted_data_2 = data.set_index('date').sort_index()\n", "#sorted_data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ici aussi toutes les données viennent de la même machine. " ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "stackoverflow.com 6824\n", "Name: cible, dtype: int64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sorted_data_2['cible'].value_counts()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "198.252.206.140 6824\n", "Name: IP, dtype: int64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sorted_data_2['IP'].value_counts()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1 ) Temps de transmission au cours du temps\n", "Nous regardons ici le temps de temps transmission. (Le notebook plante lorsque trop de données sont affichées en même temps dans les graphiques)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Temps de transmission (ms)')" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sorted_data_2['temps'].iloc[:].plot()\n", "plt.ylabel(\"Temps de transmission (ms)\")\n", "plt.figure()\n", "sorted_data_2['temps'].iloc[100:400].plot()\n", "plt.ylabel(\"Temps de transmission (ms)\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "On observe ici aussi des pics du temps de transmission qui ne correspondent pas à un phénomène àléatoire utilisé pour définir la tailles des messages envoyés. La taille des messages n'explique donc pas à elle seule le temps de transmission." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2) Temps de transmission en fonction de la taille des messages" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Temps de transmission (ms)')" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(sorted_data_2['taille'], sorted_data_2['temps'], '+')\n", "plt.xlabel(\"taille message (bytes)\")\n", "plt.ylabel(\"Temps de transmission (ms)\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous changons l'échelle de l'axe des ordonnées." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(109, 115)" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(sorted_data_2['taille'], sorted_data_2['temps'], '+')\n", "plt.xlabel(\"taille message (bytes)\")\n", "plt.ylabel(\"Temps de transmission (ms)\")\n", "plt.ylim([109,115])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur ce nouveau jeu de données nous observons également une rupture à 1500 bytes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3) Estimation de L et C" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Estimons maintenant L et C sur les deux groupes de messages à l'aide d'une régression linéaire sur ce nouveau jeu de données. Nous commençons par les messages de moins de 1500 bytes." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "from sklearn import linear_model\n", "model = linear_model.LinearRegression()\n", "X = sorted_data_2[sorted_data_2['taille']]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(X,y,'+')\n", "x = np.linspace(0,limite, 100)\n", "plt.plot(x, L_m_limite + x/C_m_limite)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Même excercice avec les messages de plus de 1500 bytes" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "L = 120.20070346544968\n", "C = -531.2814945236019\n" ] }, { "data": { "text/plain": [ "[]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from sklearn import linear_model\n", "model = linear_model.LinearRegression()\n", "X = sorted_data_2[sorted_data_2['taille']>limite].taille.iloc[:].values.reshape(-1, 1)\n", "y = sorted_data_2[sorted_data_2['taille']>limite].temps.iloc[:].values.reshape(-1, 1)\n", "results = model.fit(X, y)\n", "L_p_limite = float(results.intercept_)\n", "C_p_limite = float(1/ results.coef_)\n", "print(\"L = \", L_p_limite)\n", "print(\"C = \", C_p_limite)\n", "plt.plot(X,y,'+')\n", "x = np.linspace(limite,2000, 100)\n", "plt.plot(x, L_p_limite + x/C_p_limite)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(108, 160)" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(sorted_data_2['taille'], sorted_data_2['temps'], '+')\n", "x = np.linspace(0,limite, 100)\n", "plt.plot(x, L_m_limite + x/C_m_limite)\n", "x = np.linspace(limite,2000, 100)\n", "plt.plot(x, L_p_limite + x/C_p_limite)\n", "plt.xlabel(\"taille message (bytes)\")\n", "plt.ylabel(\"Temps de transmission (ms)\")\n", "plt.ylim([108,160])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour des messages de moins de 1500 bytes nous tronvons des valeurs de 113.1 ms et 3773 b/s pour respectivement L et C. Pour des messages de plus de 1500 bytes ses valeurs passent à 120 ms et -531 b/s. Cet dernière valeur de débit est négative, ce à quoi nous nous attentions pas. Cependant, comme nous l'avons dit pour le 1er jeu de données la variabilité est tellement forte que la regression appliquée comme cela à été fait ne représentent pas bien les mesures. \n", "\n", "Nous pouvons quand même dire que la latence du site est plus importante que celle du réseau de campus, à l'inverse son débit est plus important. Ces résultats semblent correspondre à un site fonctionnement sur des serveurs plus performant mais dont la fréquentation est plus élévée." ] } ], "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": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }