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This commit is contained in:
parent
52e328122d
commit
a336f74ce8
14 changed files with 141 additions and 157 deletions
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@ -2,21 +2,9 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"output_type": "error",
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'pandas'",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-3-c01ef916f33f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mglob\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mpathlib\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mplotly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgraph_objects\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mgo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mplotly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpress\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pandas'"
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]
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}
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],
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"outputs": [],
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"source": [
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"import os\n",
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"import time\n",
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@ -33,7 +21,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -59,7 +47,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 3,
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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": "code",
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"execution_count": 3,
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -123,22 +111,22 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"def cleanDataIQR(data):\n",
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"def cleanDataIQR(data, factor):\n",
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" Q1=data.quantile(0.25)\n",
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" Q3=data.quantile(0.75)\n",
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" IQR=Q3-Q1\n",
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" lowqe_bound=Q1 - 10 * IQR\n",
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" upper_bound=Q3 + 10 * IQR\n",
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" lowqe_bound=Q1 - factor * IQR\n",
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" upper_bound=Q3 + factor * IQR\n",
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" return data[~((data < lowqe_bound) |(data > upper_bound))]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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@ -171,7 +159,7 @@
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>AVG[W] L1</th>\n <th>Min[W] L1</th>\n <th>Max[W] L1</th>\n <th>AVG[W] L2</th>\n <th>Min[W] L2</th>\n <th>Max[W] L2</th>\n <th>AVG[W] L3</th>\n <th>Min[W] L3</th>\n <th>Max[W] L3</th>\n </tr>\n <tr>\n <th>Time</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>14.10.20 00:00:01</th>\n <td>0.076</td>\n <td>0.009</td>\n <td>0.148</td>\n <td>-0.117</td>\n <td>-0.196</td>\n <td>0.037</td>\n <td>0.052</td>\n <td>-0.075</td>\n <td>0.207</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:02</th>\n <td>0.100</td>\n <td>0.021</td>\n <td>0.178</td>\n <td>-0.068</td>\n <td>-0.209</td>\n <td>0.007</td>\n <td>0.030</td>\n <td>-0.132</td>\n <td>0.176</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:03</th>\n <td>0.090</td>\n <td>0.002</td>\n <td>0.186</td>\n <td>0.457</td>\n <td>-0.222</td>\n <td>2.782</td>\n <td>0.027</td>\n <td>-0.130</td>\n <td>0.182</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:04</th>\n <td>0.073</td>\n <td>-0.018</td>\n <td>0.131</td>\n <td>-0.085</td>\n <td>-0.169</td>\n <td>0.019</td>\n <td>0.055</td>\n <td>-0.066</td>\n <td>0.186</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:05</th>\n <td>0.106</td>\n <td>0.029</td>\n <td>0.169</td>\n <td>-0.100</td>\n <td>-0.223</td>\n <td>0.027</td>\n <td>0.005</td>\n <td>-0.139</td>\n <td>0.176</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"metadata": {},
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"execution_count": 5
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"execution_count": 6
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}
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],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>AVG[W] L1</th>\n <th>Min[W] L1</th>\n <th>Max[W] L1</th>\n <th>AVG[W] L2</th>\n <th>Min[W] L2</th>\n <th>Max[W] L2</th>\n <th>AVG[W] L3</th>\n <th>Min[W] L3</th>\n <th>Max[W] L3</th>\n <th>CPU% L1</th>\n <th>...</th>\n <th>KB Transmitted L2</th>\n <th>KB Received L2</th>\n <th>KB Read L2</th>\n <th>KB Write L2</th>\n <th>CPU% L3</th>\n <th>MEM Used L3</th>\n <th>KB Transmitted L3</th>\n <th>KB Received L3</th>\n <th>KB Read L3</th>\n <th>KB Write L3</th>\n </tr>\n <tr>\n <th>Time</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>14.10.20 00:00:01</th>\n <td>0.076</td>\n <td>0.009</td>\n <td>0.148</td>\n <td>-0.117</td>\n <td>-0.196</td>\n <td>0.037</td>\n <td>0.052</td>\n <td>-0.075</td>\n <td>0.207</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:02</th>\n <td>0.100</td>\n <td>0.021</td>\n <td>0.178</td>\n <td>-0.068</td>\n <td>-0.209</td>\n <td>0.007</td>\n <td>0.030</td>\n <td>-0.132</td>\n <td>0.176</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:03</th>\n <td>0.090</td>\n <td>0.002</td>\n <td>0.186</td>\n <td>0.457</td>\n <td>-0.222</td>\n <td>2.782</td>\n <td>0.027</td>\n <td>-0.130</td>\n <td>0.182</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:04</th>\n <td>0.073</td>\n <td>-0.018</td>\n <td>0.131</td>\n <td>-0.085</td>\n <td>-0.169</td>\n <td>0.019</td>\n <td>0.055</td>\n <td>-0.066</td>\n <td>0.186</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:05</th>\n <td>0.106</td>\n <td>0.029</td>\n <td>0.169</td>\n <td>-0.100</td>\n <td>-0.223</td>\n <td>0.027</td>\n <td>0.005</td>\n <td>-0.139</td>\n <td>0.176</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n </tbody>\n</table>\n<p>5 rows × 27 columns</p>\n</div>"
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},
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"metadata": {},
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"execution_count": 6
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"execution_count": 7
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}
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],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>AVG[W] L1</th>\n <th>Min[W] L1</th>\n <th>Max[W] L1</th>\n <th>AVG[W] L2</th>\n <th>Min[W] L2</th>\n <th>Max[W] L2</th>\n <th>AVG[W] L3</th>\n <th>Min[W] L3</th>\n <th>Max[W] L3</th>\n </tr>\n <tr>\n <th>Time</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>15.10.20 00:00:01</th>\n <td>9.157</td>\n <td>7.878</td>\n <td>13.265</td>\n <td>6.515</td>\n <td>6.004</td>\n <td>6.963</td>\n <td>7.210</td>\n <td>6.939</td>\n <td>7.701</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:02</th>\n <td>8.819</td>\n <td>7.424</td>\n <td>12.104</td>\n <td>6.643</td>\n <td>5.986</td>\n <td>8.129</td>\n <td>9.163</td>\n <td>7.199</td>\n <td>13.603</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:03</th>\n <td>8.238</td>\n <td>7.494</td>\n <td>8.660</td>\n <td>6.199</td>\n <td>5.304</td>\n <td>6.595</td>\n <td>7.501</td>\n <td>7.057</td>\n <td>8.369</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:04</th>\n <td>8.269</td>\n <td>7.554</td>\n <td>8.916</td>\n <td>6.522</td>\n <td>6.175</td>\n <td>6.811</td>\n <td>7.221</td>\n <td>6.728</td>\n <td>7.801</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:05</th>\n <td>8.378</td>\n <td>7.808</td>\n <td>8.852</td>\n <td>6.450</td>\n <td>6.222</td>\n <td>6.800</td>\n <td>7.229</td>\n <td>6.982</td>\n <td>7.485</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"metadata": {},
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"execution_count": 7
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"execution_count": 8
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}
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],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>AVG[W] L1</th>\n <th>Min[W] L1</th>\n <th>Max[W] L1</th>\n <th>AVG[W] L2</th>\n <th>Min[W] L2</th>\n <th>Max[W] L2</th>\n <th>AVG[W] L3</th>\n <th>Min[W] L3</th>\n <th>Max[W] L3</th>\n <th>CPU% L1</th>\n <th>...</th>\n <th>KB Transmitted L2</th>\n <th>KB Received L2</th>\n <th>KB Read L2</th>\n <th>KB Write L2</th>\n <th>CPU% L3</th>\n <th>MEM Used L3</th>\n <th>KB Transmitted L3</th>\n <th>KB Received L3</th>\n <th>KB Read L3</th>\n <th>KB Write L3</th>\n </tr>\n <tr>\n <th>Time</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>15.10.20 00:00:01</th>\n <td>9.157</td>\n <td>7.878</td>\n <td>13.265</td>\n <td>6.515</td>\n <td>6.004</td>\n <td>6.963</td>\n <td>7.210</td>\n <td>6.939</td>\n <td>7.701</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:02</th>\n <td>8.819</td>\n <td>7.424</td>\n <td>12.104</td>\n <td>6.643</td>\n <td>5.986</td>\n <td>8.129</td>\n <td>9.163</td>\n <td>7.199</td>\n <td>13.603</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:03</th>\n <td>8.238</td>\n <td>7.494</td>\n <td>8.660</td>\n <td>6.199</td>\n <td>5.304</td>\n <td>6.595</td>\n <td>7.501</td>\n <td>7.057</td>\n <td>8.369</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:04</th>\n <td>8.269</td>\n <td>7.554</td>\n <td>8.916</td>\n <td>6.522</td>\n <td>6.175</td>\n <td>6.811</td>\n <td>7.221</td>\n <td>6.728</td>\n <td>7.801</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>15.10.20 00:00:05</th>\n <td>8.378</td>\n <td>7.808</td>\n <td>8.852</td>\n <td>6.450</td>\n <td>6.222</td>\n <td>6.800</td>\n <td>7.229</td>\n <td>6.982</td>\n <td>7.485</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n </tbody>\n</table>\n<p>5 rows × 27 columns</p>\n</div>"
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},
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"metadata": {},
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"execution_count": 8
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"execution_count": 9
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}
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],
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"source": [
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},
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{
|
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"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
@ -473,7 +461,7 @@
|
|||
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>AVG[W] L1</th>\n <th>Min[W] L1</th>\n <th>Max[W] L1</th>\n <th>AVG[W] L2</th>\n <th>Min[W] L2</th>\n <th>Max[W] L2</th>\n <th>AVG[W] L3</th>\n <th>Min[W] L3</th>\n <th>Max[W] L3</th>\n <th>CPU% L1</th>\n <th>...</th>\n <th>KB Transmitted L2</th>\n <th>KB Received L2</th>\n <th>KB Read L2</th>\n <th>KB Write L2</th>\n <th>CPU% L3</th>\n <th>MEM Used L3</th>\n <th>KB Transmitted L3</th>\n <th>KB Received L3</th>\n <th>KB Read L3</th>\n <th>KB Write L3</th>\n </tr>\n <tr>\n <th>Time</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>14.10.20 00:00:01</th>\n <td>0.076</td>\n <td>0.009</td>\n <td>0.148</td>\n <td>-0.117</td>\n <td>-0.196</td>\n <td>0.037</td>\n <td>0.052</td>\n <td>-0.075</td>\n <td>0.207</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:02</th>\n <td>0.100</td>\n <td>0.021</td>\n <td>0.178</td>\n <td>-0.068</td>\n <td>-0.209</td>\n <td>0.007</td>\n <td>0.030</td>\n <td>-0.132</td>\n <td>0.176</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:03</th>\n <td>0.090</td>\n <td>0.002</td>\n <td>0.186</td>\n <td>0.457</td>\n <td>-0.222</td>\n <td>2.782</td>\n <td>0.027</td>\n <td>-0.130</td>\n <td>0.182</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:04</th>\n <td>0.073</td>\n <td>-0.018</td>\n <td>0.131</td>\n <td>-0.085</td>\n <td>-0.169</td>\n <td>0.019</td>\n <td>0.055</td>\n <td>-0.066</td>\n <td>0.186</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>14.10.20 00:00:05</th>\n <td>0.106</td>\n <td>0.029</td>\n <td>0.169</td>\n <td>-0.100</td>\n <td>-0.223</td>\n <td>0.027</td>\n <td>0.005</td>\n <td>-0.139</td>\n <td>0.176</td>\n <td>0.0</td>\n <td>...</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n </tr>\n </tbody>\n</table>\n<p>5 rows × 27 columns</p>\n</div>"
|
||||
},
|
||||
"metadata": {},
|
||||
"execution_count": 9
|
||||
"execution_count": 10
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
|
@ -487,7 +475,20 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"execution_count": 11,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"#plotBoxplotFigure(result, [\"KB Received L1\", \"KB Received L2\", \"KB Received L3\"], \"Network before cleaning\", \"Network Boxplot.png\")\n",
|
||||
"#result[\"KB Received L1\"] = result.loc[stats.zscore(result[\"KB Received L1\"]) <= 3][\"KB Received L1\"]\n",
|
||||
"#result[\"KB Received L2\"] = result.loc[stats.zscore(result[\"KB Received L2\"]) <= 3][\"KB Received L2\"]\n",
|
||||
"#result[\"KB Received L3\"] = result.loc[stats.zscore(result[\"KB Received L3\"]) <= 3][\"KB Received L3\"]\n",
|
||||
"#plotBoxplotFigure(result, [\"KB Received L1\", \"KB Received L2\", \"KB Received L3\"], \"Network before cleaning\", \"Network Boxplot cleaned.png\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
|
@ -499,15 +500,15 @@
|
|||
"111111111 Windows\n",
|
||||
"Baseline Windows\n",
|
||||
"Baseline\n",
|
||||
"121110101 ActivityPub\n",
|
||||
"112110101 ActivityPub\n",
|
||||
"211110101 ActivityPub\n",
|
||||
"111110101 ActivityPub\n",
|
||||
"111010101 ActivityPub\n",
|
||||
"111210101 ActivityPub\n",
|
||||
"110110101 ActivityPub\n",
|
||||
"011110101 ActivityPub\n",
|
||||
"101110101 ActivityPub\n",
|
||||
"110111111 ActivityPub\n",
|
||||
"101111111 ActivityPub\n",
|
||||
"211111111 ActivityPub\n",
|
||||
"011111111 ActivityPub\n",
|
||||
"111211111 ActivityPub\n",
|
||||
"111111111 ActivityPub\n",
|
||||
"121111111 ActivityPub\n",
|
||||
"112111111 ActivityPub\n",
|
||||
"111011111 ActivityPub\n",
|
||||
"211111111 Matrix\n",
|
||||
"121111111 Matrix\n",
|
||||
"111111011 Matrix\n",
|
||||
|
@ -556,41 +557,41 @@
|
|||
"Min[W] L3 5.669529e+00\n",
|
||||
"dtype: float64\n",
|
||||
"min\n",
|
||||
"AVG[W] L1 5.857771e+00\n",
|
||||
"Min[W] L1 5.741483e+00\n",
|
||||
"Max[W] L1 5.994246e+00\n",
|
||||
"AVG[W] L2 3.889144e+00\n",
|
||||
"Min[W] L2 3.698576e+00\n",
|
||||
"Max[W] L2 4.119449e+00\n",
|
||||
"AVG[W] L3 6.164653e+00\n",
|
||||
"Min[W] L3 5.650754e+00\n",
|
||||
"Max[W] L3 7.187424e+00\n",
|
||||
"CPU% L1 5.932203e-02\n",
|
||||
"MEM Used L1 4.503744e+06\n",
|
||||
"KB Transmitted L1 0.000000e+00\n",
|
||||
"AVG[W] L1 5.997093e+00\n",
|
||||
"Min[W] L1 5.811203e+00\n",
|
||||
"Max[W] L1 6.292356e+00\n",
|
||||
"AVG[W] L2 4.037085e+00\n",
|
||||
"Min[W] L2 3.727415e+00\n",
|
||||
"Max[W] L2 4.554542e+00\n",
|
||||
"AVG[W] L3 5.826669e+00\n",
|
||||
"Min[W] L3 5.622593e+00\n",
|
||||
"Max[W] L3 6.123331e+00\n",
|
||||
"CPU% L1 4.322034e-01\n",
|
||||
"MEM Used L1 4.288508e+06\n",
|
||||
"KB Transmitted L1 5.677966e-01\n",
|
||||
"KB Received L1 0.000000e+00\n",
|
||||
"KB Read L1 0.000000e+00\n",
|
||||
"KB Write L1 1.220339e+01\n",
|
||||
"CPU% L2 5.932203e-02\n",
|
||||
"MEM Used L2 4.335635e+06\n",
|
||||
"KB Transmitted L2 1.694915e-02\n",
|
||||
"KB Write L1 6.166102e+01\n",
|
||||
"CPU% L2 3.135593e-01\n",
|
||||
"MEM Used L2 4.091692e+06\n",
|
||||
"KB Transmitted L2 6.694915e-01\n",
|
||||
"KB Received L2 0.000000e+00\n",
|
||||
"KB Read L2 0.000000e+00\n",
|
||||
"KB Write L2 1.664407e+01\n",
|
||||
"CPU% L3 3.127119e+00\n",
|
||||
"MEM Used L3 4.310587e+06\n",
|
||||
"KB Transmitted L3 9.661017e-01\n",
|
||||
"KB Received L3 8.728814e-01\n",
|
||||
"KB Write L2 5.467797e+01\n",
|
||||
"CPU% L3 3.983051e-01\n",
|
||||
"MEM Used L3 4.013788e+06\n",
|
||||
"KB Transmitted L3 1.864407e-01\n",
|
||||
"KB Received L3 1.016949e-01\n",
|
||||
"KB Read L3 0.000000e+00\n",
|
||||
"KB Write L3 6.154237e+02\n",
|
||||
"Energy L1 5.857771e+00\n",
|
||||
"Energy L2 3.889144e+00\n",
|
||||
"Energy L3 1.257979e+01\n",
|
||||
"Iteration 1.800000e+01\n",
|
||||
"Energy total 6.425539e+00\n",
|
||||
"Actions Send 1.150000e+02\n",
|
||||
"KB Write L3 3.966949e+01\n",
|
||||
"Energy L1 5.997093e+00\n",
|
||||
"Energy L2 4.037085e+00\n",
|
||||
"Energy L3 6.159462e+00\n",
|
||||
"Iteration 1.100000e+01\n",
|
||||
"Energy total 2.924719e-01\n",
|
||||
"Actions Send 1.200000e+01\n",
|
||||
"dtype: float64\n",
|
||||
"6.704910347268386\n",
|
||||
"2.924719339609503\n",
|
||||
"max\n",
|
||||
"AVG[W] L1 6.501847e+00\n",
|
||||
"Min[W] L1 6.013449e+00\n",
|
||||
|
@ -610,7 +611,7 @@
|
|||
"CPU% L2 1.957627e+00\n",
|
||||
"MEM Used L2 4.403195e+06\n",
|
||||
"KB Transmitted L2 5.525424e+00\n",
|
||||
"KB Received L2 3.675214e+00\n",
|
||||
"KB Received L2 3.646552e+00\n",
|
||||
"KB Read L2 0.000000e+00\n",
|
||||
"KB Write L2 4.514915e+02\n",
|
||||
"CPU% L3 3.084746e+00\n",
|
||||
|
@ -619,14 +620,14 @@
|
|||
"KB Received L3 3.686441e+00\n",
|
||||
"KB Read L3 0.000000e+00\n",
|
||||
"KB Write L3 4.467458e+02\n",
|
||||
"Energy L1 8.728277e+01\n",
|
||||
"Energy L2 3.171558e+01\n",
|
||||
"Energy L3 3.329450e+01\n",
|
||||
"Energy L1 4.247116e+01\n",
|
||||
"Energy L2 1.663821e+01\n",
|
||||
"Energy L3 1.826516e+01\n",
|
||||
"Iteration 2.600000e+01\n",
|
||||
"Energy total 1.363917e+02\n",
|
||||
"Energy total 6.147336e+01\n",
|
||||
"Actions Send 1.090000e+02\n",
|
||||
"dtype: float64\n",
|
||||
"150.1559780437906\n"
|
||||
"67.67709118463543\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
@ -653,18 +654,18 @@
|
|||
" end_measurement_string = time.strftime('%d.%m.%y %H:%M:%S', time.localtime(int(csv_data[\"End\"][len(csv_data[\"End\"]) - 1])))\n",
|
||||
" measurement_data = result.loc[start_measurement_string:end_measurement_string]\n",
|
||||
"\n",
|
||||
" plotBoxplotFigure(measurement_data, [\"AVG[W] L1\", \"AVG[W] L2\", \"AVG[W] L3\"], measurement_name + \" Energy before cleaning\", \"plots/Energy/\" + measurement_name + \" Boxplot.png\")\n",
|
||||
" measurement_data[\"AVG[W] L1\"] = cleanDataIQR(measurement_data[\"AVG[W] L1\"])\n",
|
||||
" measurement_data[\"AVG[W] L2\"] = cleanDataIQR(measurement_data[\"AVG[W] L2\"])\n",
|
||||
" measurement_data[\"AVG[W] L3\"] = cleanDataIQR(measurement_data[\"AVG[W] L3\"])\n",
|
||||
" plotBoxplotFigure(measurement_data, [\"AVG[W] L1\", \"AVG[W] L2\", \"AVG[W] L3\"], measurement_name + \" Energy after cleaning\", \"plots/Energy/\" + measurement_name + \" Boxplot cleaned.png\")\n",
|
||||
" plotBoxplotFigure(measurement_data, [\"AVG[W] L1\", \"AVG[W] L2\", \"AVG[W] L3\"], measurement_name + \" Energy before cleaning\", \"plots/Energy/\" + measurement_name.replace(\" \", \"_\") + \"_Boxplot.png\")\n",
|
||||
" measurement_data[\"AVG[W] L1\"] = cleanDataIQR(measurement_data[\"AVG[W] L1\"], 10)\n",
|
||||
" measurement_data[\"AVG[W] L2\"] = cleanDataIQR(measurement_data[\"AVG[W] L2\"], 10)\n",
|
||||
" measurement_data[\"AVG[W] L3\"] = cleanDataIQR(measurement_data[\"AVG[W] L3\"], 10)\n",
|
||||
" plotBoxplotFigure(measurement_data, [\"AVG[W] L1\", \"AVG[W] L2\", \"AVG[W] L3\"], measurement_name + \" Energy after cleaning\", \"plots/Energy/\" + measurement_name.replace(\" \", \"_\") + \"_Boxplot_cleaned.png\")\n",
|
||||
" \n",
|
||||
" plotBoxplotFigure(measurement_data, [\"KB Received L1\", \"KB Received L2\", \"KB Received L3\"], measurement_name + \" Network before cleaning\", \"plots/Network/received/\" + measurement_name + \" Boxplot.png\")\n",
|
||||
" plotBoxplotFigure(measurement_data, [\"KB Received L1\", \"KB Received L2\", \"KB Received L3\"], measurement_name + \" Network before cleaning\", \"plots/Network/received/\" + measurement_name.replace(\" \", \"_\") + \"_Boxplot.png\")\n",
|
||||
" if \"Baseline\" not in measurement_name and \"Windows\" not in measurement_name:\n",
|
||||
" measurement_data[\"KB Received L1\"] = measurement_data.loc[stats.zscore(measurement_data[\"KB Received L1\"]) <= 3][\"KB Received L1\"]\n",
|
||||
" measurement_data[\"KB Received L2\"] = measurement_data.loc[stats.zscore(measurement_data[\"KB Received L2\"]) <= 3][\"KB Received L2\"]\n",
|
||||
" measurement_data[\"KB Received L3\"] = measurement_data.loc[stats.zscore(measurement_data[\"KB Received L3\"]) <= 3][\"KB Received L3\"]\n",
|
||||
" plotBoxplotFigure(measurement_data, [\"KB Received L1\", \"KB Received L2\", \"KB Received L3\"], measurement_name + \" Network after cleaning\", \"plots/Network/received/\" + measurement_name + \" Boxplot cleaned.png\")\n",
|
||||
" measurement_data[\"KB Received L1\"] = measurement_data.loc[stats.zscore(measurement_data[\"KB Received L1\"]) <= 1.5][\"KB Received L1\"]\n",
|
||||
" measurement_data[\"KB Received L2\"] = measurement_data.loc[stats.zscore(measurement_data[\"KB Received L2\"]) <= 1.5][\"KB Received L2\"]\n",
|
||||
" measurement_data[\"KB Received L3\"] = measurement_data.loc[stats.zscore(measurement_data[\"KB Received L3\"]) <= 1.5][\"KB Received L3\"]\n",
|
||||
" plotBoxplotFigure(measurement_data, [\"KB Received L1\", \"KB Received L2\", \"KB Received L3\"], measurement_name + \" Network after cleaning\", \"plots/Network/received/\" + measurement_name.replace(\" \", \"_\") + \"_Boxplot_cleaned.png\")\n",
|
||||
"\n",
|
||||
" measurement_results = pd.DataFrame()\n",
|
||||
" iteration_count = 0\n",
|
||||
|
@ -674,18 +675,18 @@
|
|||
" end_string = time.strftime('%d.%m.%y %H:%M:%S', time.localtime(int(measurement_row[2]) - 1))\n",
|
||||
" iteration_data = measurement_data.loc[start_string:end_string]\n",
|
||||
"\n",
|
||||
" plotFigure(iteration_data, [\"AVG[W] L1\",\"AVG[W] L2\",\"AVG[W] L3\"], \"Energy (W)\", \"Energy \" + title, \"plots/Energy/\" + title + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"CPU% L1\",\"CPU% L2\",\"CPU% L3\"], \"Workload (%)\", \"CPU \" + title, \"plots/CPU/\" + title + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"MEM Used L1\",\"MEM Used L2\",\"MEM Used L3\"], \"Usage (MByte)\", \"Memory \" + title, \"plots/MEM/\" + title + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Transmitted L1\",\"KB Transmitted L2\",\"KB Transmitted L3\"], \"Transmitted (KB)\", \"Network Send \" + title, \"plots/Network/transmitted/\" + title + \" transmitted.png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Received L1\",\"KB Received L2\",\"KB Received L3\"], \"Received (KB)\", \"Network Received \" + title, \"plots/Network/received/\" + title + \" received.png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Read L1\",\"KB Read L2\",\"KB Read L3\"], \"Read (KB)\", \"Disc Read \" + title, \"plots/Disc/\" + title + \" read.png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Write L1\",\"KB Write L2\",\"KB Write L3\"], \"Write (KB)\", \"Disc Write \" + title, \"plots/Disc/\" + title + \" write.png\")\n",
|
||||
" plotFigure(iteration_data, [\"AVG[W] L1\",\"AVG[W] L2\",\"AVG[W] L3\"], \"Energy (W)\", \"Energy \" + title, \"plots/Energy/\" + title.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"CPU% L1\",\"CPU% L2\",\"CPU% L3\"], \"Workload (%)\", \"CPU \" + title, \"plots/CPU/\" + title.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"MEM Used L1\",\"MEM Used L2\",\"MEM Used L3\"], \"Usage (MByte)\", \"Memory \" + title, \"plots/MEM/\" + title.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Transmitted L1\",\"KB Transmitted L2\",\"KB Transmitted L3\"], \"Transmitted (KB)\", \"Network Send \" + title, \"plots/Network/transmitted/\" + title.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Received L1\",\"KB Received L2\",\"KB Received L3\"], \"Received (KB)\", \"Network Received \" + title, \"plots/Network/received/\" + title.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Read L1\",\"KB Read L2\",\"KB Read L3\"], \"Read (KB)\", \"Disc Read \" + title, \"plots/Disc/\" + title.replace(\" \", \"_\") + \"_read.png\")\n",
|
||||
" plotFigure(iteration_data, [\"KB Write L1\",\"KB Write L2\",\"KB Write L3\"], \"Write (KB)\", \"Disc Write \" + title, \"plots/Disc/\" + title.replace(\" \", \"_\") + \"_write.png\")\n",
|
||||
" iteration = iteration_data.mean()\n",
|
||||
"\n",
|
||||
" iteration[\"Energy L1\"] = iteration[\"AVG[W] L1\"] + (((iteration[\"KB Received L1\"] / 1000000) / 0.025634766) * 52 * 3600) + ((iteration[\"KB Received L1\"] / 1000000) * 0.052 * 0.25 * 3600000)\n",
|
||||
" iteration[\"Energy L2\"] = iteration[\"AVG[W] L2\"] + (((iteration[\"KB Received L2\"] / 1000000) / 0.025634766) * 52 * 3600) + ((iteration[\"KB Received L2\"] / 1000000) * 0.052 * 0.25 * 3600000)\n",
|
||||
" iteration[\"Energy L3\"] = iteration[\"AVG[W] L3\"] + (((iteration[\"KB Received L3\"] / 1000000) / 0.025634766) * 52 * 3600) + ((iteration[\"KB Received L3\"] / 1000000) * 0.052 * 0.25 * 3600000)\n",
|
||||
" iteration[\"Energy L1\"] = iteration[\"AVG[W] L1\"] + (((iteration.fillna(0)[\"KB Received L1\"] / 1000000) / 0.058034665178572) * 52 * 3600) + ((iteration.fillna(0)[\"KB Received L1\"] / 1000000) * 0.052 * 0.25 * 3600000)\n",
|
||||
" iteration[\"Energy L2\"] = iteration[\"AVG[W] L2\"] + (((iteration.fillna(0)[\"KB Received L2\"] / 1000000) / 0.058034665178572) * 52 * 3600) + ((iteration.fillna(0)[\"KB Received L2\"] / 1000000) * 0.052 * 0.25 * 3600000)\n",
|
||||
" iteration[\"Energy L3\"] = iteration[\"AVG[W] L3\"] + (((iteration.fillna(0)[\"KB Received L3\"] / 1000000) / 0.058034665178572) * 52 * 3600) + ((iteration.fillna(0)[\"KB Received L3\"] / 1000000) * 0.052 * 0.25 * 3600000)\n",
|
||||
"\n",
|
||||
" iteration['Iteration'] = int(measurement_row[0])\n",
|
||||
" measurement_results = measurement_results.append(iteration, ignore_index=True)\n",
|
||||
|
@ -705,22 +706,22 @@
|
|||
" iteration_data = iteration_data.reset_index()\n",
|
||||
" del iteration_data[\"Time\"]\n",
|
||||
" if measurement_avg is None:\n",
|
||||
" measurement_avg = iteration_data\n",
|
||||
" measurement_avg = iteration_data.fillna(0)\n",
|
||||
" else:\n",
|
||||
" measurement_avg = measurement_avg + iteration_data.fillna(0)\n",
|
||||
" iteration_count = iteration_count + 1\n",
|
||||
" measurement_avg = measurement_avg / iteration_count\n",
|
||||
" plotFigure(measurement_avg, [\"AVG[W] L1\",\"AVG[W] L2\",\"AVG[W] L3\"], \"Energy (W)\", \"Energy \" + measurement_name, \"plots/Energy/\" + measurement_name + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"CPU% L1\",\"CPU% L2\",\"CPU% L3\"], \"Workload (%)\", \"CPU \" + measurement_name, \"plots/CPU/\" + measurement_name + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"MEM Used L1\",\"MEM Used L2\",\"MEM Used L3\"], \"Usage (MByte)\", \"Memory \" + measurement_name, \"plots/MEM/\" + measurement_name + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Transmitted L1\",\"KB Transmitted L2\",\"KB Transmitted L3\"], \"Transmitted (KB)\", \"Network Send \" + measurement_name, \"plots/Network/transmitted/\" + measurement_name + \" transmitted.png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Received L1\",\"KB Received L2\",\"KB Received L3\"], \"Received (KB)\", \"Network Received \" + measurement_name, \"plots/Network/received/\" + measurement_name + \" received.png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Read L1\",\"KB Read L2\",\"KB Read L3\"], \"Read (KB)\", \"Disc Read \" + measurement_name, \"plots/Disc/\" + measurement_name + \" read.png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Write L1\",\"KB Write L2\",\"KB Write L3\"], \"Write (KB)\", \"Disc Write \" + measurement_name, \"plots/Disc/\" + measurement_name + \" write.png\")\n",
|
||||
" plotFigure(measurement_avg, [\"AVG[W] L1\",\"AVG[W] L2\",\"AVG[W] L3\"], \"Energy (W)\", \"Energy \" + measurement_name, \"plots/Energy/\" + measurement_name.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"CPU% L1\",\"CPU% L2\",\"CPU% L3\"], \"Workload (%)\", \"CPU \" + measurement_name, \"plots/CPU/\" + measurement_name.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"MEM Used L1\",\"MEM Used L2\",\"MEM Used L3\"], \"Usage (MByte)\", \"Memory \" + measurement_name, \"plots/MEM/\" + measurement_name.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Transmitted L1\",\"KB Transmitted L2\",\"KB Transmitted L3\"], \"Transmitted (KB)\", \"Network Send \" + measurement_name, \"plots/Network/transmitted/\" + measurement_name.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Received L1\",\"KB Received L2\",\"KB Received L3\"], \"Received (KB)\", \"Network Received \" + measurement_name, \"plots/Network/received/\" + measurement_name.replace(\" \", \"_\") + \".png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Read L1\",\"KB Read L2\",\"KB Read L3\"], \"Read (KB)\", \"Disc Read \" + measurement_name, \"plots/Disc/\" + measurement_name.replace(\" \", \"_\") + \"_read.png\")\n",
|
||||
" plotFigure(measurement_avg, [\"KB Write L1\",\"KB Write L2\",\"KB Write L3\"], \"Write (KB)\", \"Disc Write \" + measurement_name, \"plots/Disc/\" + measurement_name.replace(\" \", \"_\") + \"_write.png\")\n",
|
||||
" csv_data = csv_data.merge(measurement_results)\n",
|
||||
" csv_data_mean = csv_data.mean()\n",
|
||||
" csv_data = csv_data.append(csv_data_mean, ignore_index=True)\n",
|
||||
" csv_data.to_csv(measurement_file.name)\n",
|
||||
" csv_data.to_csv(\"output/\" + measurement_file.name)\n",
|
||||
" if \"Windows\" not in measurement_name:\n",
|
||||
" if \"Baseline\" in measurement_name:\n",
|
||||
" baseline = csv_data_mean\n",
|
||||
|
@ -752,12 +753,12 @@
|
|||
" summary[\"MEM Used total\"] = summary[\"MEM Used L1 without Baseline\"] + summary[\"MEM Used L2 without Baseline\"] + summary[\"MEM Used L3 without Baseline\"]\n",
|
||||
" summary[\"KB Received total\"] = summary[\"KB Received L1 without Baseline\"] + summary[\"KB Received L2 without Baseline\"] + summary[\"KB Received L3 without Baseline\"]\n",
|
||||
" summary[\"KB Write total\"] = summary[\"KB Write L1 without Baseline\"] + summary[\"KB Write L2 without Baseline\"] + summary[\"KB Write L3 without Baseline\"]\n",
|
||||
"summary.to_csv(\"summary.csv\")"
|
||||
"summary.to_csv(\"output/summary.csv\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"execution_count": 21,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
|
@ -766,19 +767,19 @@
|
|||
"fig = go.Figure()\n",
|
||||
"\n",
|
||||
"fig.add_trace(go.Scatterpolar(\n",
|
||||
" r=[0.3313,0.3313,0.3313,0.3313,0.3313,0.3313,0.3313,0.3313,0.3313],\n",
|
||||
" r=[0.3192,0.3192,0.3192,0.3192,0.3192,0.3192,0.3192,0.3192,0.3192],\n",
|
||||
" theta=categories,\n",
|
||||
" fill='toself',\n",
|
||||
" name='Average'\n",
|
||||
"))\n",
|
||||
"fig.add_trace(go.Scatterpolar(\n",
|
||||
" r=[0.3478,0.3651,0.3333,0.3738,0.3313,0.3313,0.3313,0.3313,0.3313],\n",
|
||||
" r=[0.3301,0.2590,0.3331,0.3718,0.3192,0.3192,0.3192,0.3192,0.3192],\n",
|
||||
" theta=categories,\n",
|
||||
" fill='toself',\n",
|
||||
" name='Worst'\n",
|
||||
"))\n",
|
||||
"fig.add_trace(go.Scatterpolar(\n",
|
||||
" r=[0.2806,0.2578,0.0110,0.3291,0.3313,0.3310,0.2790,0.2782,0.3313],\n",
|
||||
" r=[0.2815,0.3753,0.0225,0.3264,0.3192,0.3194,0.2819,0.2720,0.3192],\n",
|
||||
" theta=categories,\n",
|
||||
" fill='toself',\n",
|
||||
" name='Best'\n",
|
||||
|
@ -800,12 +801,12 @@
|
|||
" showlegend=True\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"fig.write_image(\"Radar Matrix.png\")"
|
||||
"fig.write_image(\"plots/Radar Matrix.png\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"execution_count": 22,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
|
@ -814,19 +815,19 @@
|
|||
"fig = go.Figure()\n",
|
||||
"\n",
|
||||
"fig.add_trace(go.Scatterpolar(\n",
|
||||
" r=[0.2926,0.2926,0.2926,0.2926,0.2926,0.2926,0.2926,0.2926,0.2926],\n",
|
||||
" r=[0.2479,0.2479,0.2479,0.2479,0.2479,0.2479,0.2479,0.2479,0.2479],\n",
|
||||
" theta=categories,\n",
|
||||
" fill='toself',\n",
|
||||
" name='Average'\n",
|
||||
"))\n",
|
||||
"fig.add_trace(go.Scatterpolar(\n",
|
||||
" r=[0.2708,0.3015,0.9479,0.3451,0.2926,0.2926,0.2926,0.2926,0.2926],\n",
|
||||
" r=[0.2770,0.2556,0.9052,0.1882,0.2479,0.2479,0.2479,0.2479,0.2479],\n",
|
||||
" theta=categories,\n",
|
||||
" fill='toself',\n",
|
||||
" name='Worst'\n",
|
||||
"))\n",
|
||||
"fig.add_trace(go.Scatterpolar(\n",
|
||||
" r=[0.2930,0.2199,0.0013,0.2269,0.2926,0.2926,0.2926,0.2926,0.2926],\n",
|
||||
" r=[0.2187,0.0513,0.0030,0.3072,0.2479,0.2479,0.2479,0.2479,0.2479],\n",
|
||||
" theta=categories,\n",
|
||||
" fill='toself',\n",
|
||||
" name='Best'\n",
|
||||
|
@ -848,12 +849,12 @@
|
|||
" showlegend=True\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"fig.write_image(\"Radar ActivityPub.png\")"
|
||||
"fig.write_image(\"plots/Radar ActivityPub.png\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"execution_count": 15,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
@ -885,7 +886,7 @@
|
|||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.6-final"
|
||||
"version": "3.7.5-final"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
|
BIN
Radar ActivityPub.png
Normal file
BIN
Radar ActivityPub.png
Normal file
Binary file not shown.
After Width: | Height: | Size: 38 KiB |
BIN
Radar Matrix.png
Normal file
BIN
Radar Matrix.png
Normal file
Binary file not shown.
After Width: | Height: | Size: 38 KiB |
39
Spikes
39
Spikes
|
@ -1,39 +0,0 @@
|
|||
Spikes:
|
||||
011110101 ActivityPub 4
|
||||
011111111 Matrix 1
|
||||
011111111 Matrix 7
|
||||
110110101 ActivityPub 13
|
||||
110110101 ActivityPub 29
|
||||
110110101 ActivityPub 30
|
||||
111010101 ActivityPub 28
|
||||
111110101 ActivityPub 1
|
||||
111110111 Matrix 4
|
||||
111110111 Matrix 22
|
||||
111110111 Matrix 23
|
||||
111110111 Matrix 28
|
||||
111111011 Matrix 13
|
||||
111111011 Matrix 16
|
||||
111111011 Matrix 23
|
||||
111111101 Matrix 5
|
||||
111111101 Matrix 8
|
||||
111111101 Matrix 26
|
||||
111210101 ActivityPub 5
|
||||
112110101 ActivityPub 7
|
||||
112110101 ActivityPub 30
|
||||
121110101 ActivityPub 16
|
||||
121111111 Matrix 12
|
||||
211110101 ActivityPub 27
|
||||
Baseline 6
|
||||
|
||||
Raus:
|
||||
011111111 Matrix 2
|
||||
011111111 Matrix 3
|
||||
111111011 Matrix 30
|
||||
111111101 Matrix 1
|
||||
111210101 ActivityPub 25
|
||||
111210101 ActivityPub 26
|
||||
111210101 ActivityPub 27
|
||||
121110101 ActivityPub 10
|
||||
121110101 ActivityPub 11
|
||||
121110101 ActivityPub 12
|
||||
121110101 ActivityPub 13
|
22
summary.csv
Normal file
22
summary.csv
Normal file
|
@ -0,0 +1,22 @@
|
|||
,AVG[W] L1,AVG[W] L2,AVG[W] L3,Actions Send,CPU% L1,CPU% L2,CPU% L3,Energy L1,Energy L2,Energy L3,KB Received L1,KB Received L2,KB Received L3,KB Write L1,KB Write L2,KB Write L3,MEM Used L1,MEM Used L2,MEM Used L3,Measurement,AVG[W] L1 without Baseline,AVG[W] L2 without Baseline,AVG[W] L3 without Baseline,CPU% L1 without Baseline,CPU% L2 without Baseline,CPU% L3 without Baseline,Energy L1 without Baseline,Energy L2 without Baseline,Energy L3 without Baseline,KB Received L1 without Baseline,KB Received L2 without Baseline,KB Received L3 without Baseline,KB Write L1 without Baseline,KB Write L2 without Baseline,KB Write L3 without Baseline,MEM Used L1 without Baseline,MEM Used L2 without Baseline,MEM Used L3 without Baseline,Energy total,Energy Efficiency,Energy Efficiency normalized,CPU% total,MEM Used total,KB Received total,KB Write total
|
||||
0,7.808914276401562,6.286390808344198,7.261747763341277,757.6923076923077,23.409387222946545,11.657757496740551,19.58833116036505,76.76200014617676,26.53339329856112,56.070228795363,21.070730117340286,6.1870925684485005,14.914928292046937,2817.023142112125,1281.5837679269885,1315.1082138200784,4440015.048239895,4252831.544980444,4160338.2451108214,121110101 ActivityPub,1.8579636737759415,2.1542189447992177,1.4437023353395677,23.358582494275417,11.63659242054058,19.540902019217068,70.81104954355114,22.40122143501614,50.25218336736129,21.070730117340286,6.1870925684485005,14.914928292046937,2813.2292950817873,1276.1843661323724,1309.5672367512848,364660.91204846883,361689.4704041728,338097.97053455,143.46445434592857,22.72127398778158,0.30452405913835734,54.53607693403306,1064448.3529871916,42.172750977835726,5398.9808979654445
|
||||
1,6.489535099506286,4.68131444574323,6.1959403954802275,110.0,3.6415254237288144,1.9183615819209037,3.081073446327683,38.34146264995015,16.35839386029627,20.253281331152895,9.733333333333333,3.5682897407590577,4.29565164904148,431.261581920904,438.4511299435028,438.2454802259888,4554120.656497177,4384645.333333332,4359633.8271186445,112110101 ActivityPub,0.5385844968806657,0.5491425821982503,0.37789496747851814,3.590720695057685,1.8971965057209321,3.0336443051796986,32.390512047324535,12.226221996751292,14.435235903151185,9.733333333333333,3.5682897407590577,4.29565164904148,427.4677348905665,433.05172814888664,432.7045031571952,478766.5203057504,493503.25875706086,537393.5525423731,59.05196994722701,64.42033085152038,0.9481388916402161,8.521561505958315,1509663.3316051844,17.59727472313387,1293.2239661966482
|
||||
2,6.499537517504467,4.648689082041624,6.135075411656768,113.73333333333333,3.108474576271186,1.6107344632768361,2.4175141242937843,18.557714408843857,8.066865839318057,9.266790281607319,3.6847457627118643,1.0445287406275132,0.9569915254237288,448.028813559322,206.21271186440674,216.13559322033902,4264589.376271186,4077322.110734463,3988751.0564971743,211110101 ActivityPub,0.5485869148788467,0.5165172184966442,0.3170299836550585,3.0576698476000566,1.5895693870768646,2.3700849831457997,12.606763806218236,3.934693975773077,3.44874485360561,3.6847457627118643,1.0445287406275132,0.9569915254237288,444.23496652898444,200.8133100697906,210.5946161515454,189235.2400797601,186180.03615819197,166510.7819209029,19.990202635596923,21.09165577026639,0.2793712970618585,7.017324217822721,541926.058158855,5.686266028763106,855.6428927503205
|
||||
3,6.467503954802259,4.5982720628712155,6.1015745762711875,113.76666666666667,3.0036723163841805,1.5610169491525425,2.3872881355932205,16.741259533004627,8.729510582550562,11.681630353360507,3.1394611038678826,1.2624266310999215,1.7051571780385335,440.9898305084746,198.85762711864407,204.78192090395478,4154723.262146892,3968123.528813559,3887950.482485875,111110101 ActivityPub,0.516553352176639,0.4661001993262355,0.28352914826947817,2.952867587713051,1.539851872952571,2.339858994445236,10.790308930379005,4.597338719005582,5.863584925358798,3.1394611038678826,1.2624266310999215,1.7051571780385335,437.19598347813707,193.45822532402792,199.24094383516118,79369.12595546572,76981.45423728786,65710.2079096036,21.251232574743383,22.415598379453908,0.2998060302367301,6.832578455110858,222060.78810235718,6.107044913006337,829.8951526373261
|
||||
4,6.461813559322033,4.571790677966102,6.1071092733294385,113.46666666666667,2.9985875706214697,1.6214689265536721,2.4610169491525427,17.301158146316233,13.248427315662473,9.706898745681315,3.312294171616206,2.651412429378531,1.1000260756192959,447.1581920903954,207.01214689265535,232.98305084745763,4606779.806779662,4445579.781920904,4409869.790960452,111010101 ActivityPub,0.5108629566964131,0.43961881442112194,0.2890638453277292,2.9477828419503402,1.6003038503537006,2.413587808004558,11.350207543690612,9.116255452117493,3.8888533176796054,3.312294171616206,2.651412429378531,1.1000260756192959,443.3643450600579,201.6127450980392,227.44207377866402,531425.6705882358,554437.7073446331,587629.5163841802,24.35531631348771,25.75767882742531,0.3513902316434376,6.961674500308599,1673492.894317049,7.063732676614032,872.4191639367612
|
||||
5,6.39544979101947,4.481787507846829,6.055677137154539,114.81481481481481,2.65819209039548,1.3069679849340867,2.0740740740740744,15.103516819263643,9.581453272711915,8.514372396053787,2.6610169491525424,1.558359276668907,0.7513297423539815,371.44632768361583,168.38794726930323,173.29692404268678,4656199.339610796,4500007.605775267,4458191.7526679225,111210101 ActivityPub,0.4444991883938494,0.3496156443018492,0.23763170915282927,2.6073873617243506,1.2858029087341152,2.02664493292609,9.152566216638022,5.449281409166935,2.6963269680520776,2.6610169491525424,1.558359276668907,0.7513297423539815,367.6524806532783,162.98854547468707,167.75594697389317,580845.2034193701,608865.5311989957,635951.4780916511,17.298174593857034,18.0793824787409,0.2328775891511427,5.919835203384556,1825662.2127100169,4.97070596817543,698.3969731018585
|
||||
6,5.877473111868473,3.9409222946544986,6.174872598870056,115.73333333333333,0.09435028248587572,0.0649717514124294,3.058474576271186,5.877473111868473,3.9427869432641725,9.092352380307279,0.0,0.0005698005698005699,0.8915254237288135,38.271186440677965,22.27457627118644,620.4714689265536,4504310.823728814,4335870.02259887,4306191.724293785,110110101 ActivityPub,-0.07347749075714738,-0.1912495688904814,0.35682717086834703,0.04354555381474625,0.04380667521245789,3.011045435123201,-0.07347749075714738,-0.18938492028080756,3.2743069523055697,0.0,0.0005698005698005699,0.8915254237288135,34.477339410340406,16.875174476570287,614.93049185776,428956.6875373875,444727.94802259887,483951.44971751375,3.0114445412676147,3.1224655381807067,0.00202120256907607,3.098397664150405,1357636.0852775,0.8920952242986141,666.2830057446707
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||||
7,6.424206214689264,4.51934826403979,6.081003672316383,113.63333333333334,2.859887005649718,1.551412429378531,2.458757062146893,14.695945468269827,10.44849900936422,11.92960835446585,2.5276836158192095,1.8118338520150326,1.7872205321357861,443.6587570621469,200.2912429378531,210.40197740112995,4211795.377401129,4027431.3412429374,3936185.1389830504,011110101 ActivityPub,0.4732556120636433,0.38717640049480995,0.26295824431467363,2.8090822769785886,1.5302473531785594,2.4113279209989082,8.744994865644205,6.31632714581924,6.111562926464141,2.5276836158192095,1.8118338520150326,1.7872205321357861,439.86491003180936,194.89184114323695,204.86100033233635,136441.24120970303,136289.26666666614,113944.86440677894,21.172884937927588,22.359162738791234,0.298934959806266,6.750657551156056,386675.3722831481,6.126737999970029,839.6177515073825
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||||
8,5.996016101694917,4.115452824858758,5.822723728813559,12.0,0.4610169491525423,0.3231638418079096,0.40169491525423734,7.038596610207492,4.488937515714276,6.0954217945492,0.3185924493931507,0.11412970173426931,0.08333125739271789,60.81581920903956,46.03163841807908,39.6771186440678,4290596.245197739,4093679.6282485873,4015609.142372881,101110101 ActivityPub,0.04506549906929713,-0.016719038686222376,0.00467830081184939,0.41021222048141287,0.30199876560793804,0.3542657741062527,1.0876460075818715,0.3567656521692957,0.2773763665474904,0.3185924493931507,0.11412970173426931,0.08333125739271789,57.021972178702,40.63223662346293,34.13614157527418,215242.10900631314,202537.55367231602,193368.86779660964,1.7217880262986576,17.217880262986576,0.21958051132742656,1.0664767601956036,611148.5304752388,0.5160534085201378,131.7903503774391
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||||
9,6.717047175141244,5.298039548022599,6.258045197740112,111.33333333333333,3.2838983050847457,1.8053672316384184,2.760734463276836,20.86164734490389,9.675173343630796,10.059287545932328,4.322316384180791,1.3375674740494448,1.1615861802128817,260.41807909604523,313.0994350282486,333.6474576271187,2704350.788700565,2644613.745762712,2439060.546892656,211111111 Matrix,0.7660965725156235,1.165867684477619,0.43999976973840305,3.233093576413616,1.7842021554384468,2.7133053221288512,14.910696742278269,5.543001480085816,4.241242117930619,4.322316384180791,1.3375674740494448,1.1615861802128817,256.6242320657077,307.70003323363244,328.1064805583251,-1371003.347490861,-1246528.3288135594,-1383179.7276836154,24.694940340294703,26.61730096558711,0.36465829092534935,7.730601053980914,-4000711.403988036,6.821470038443118,892.4307458576652
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||||
10,8.126072316384185,6.383951180646095,7.176185474914289,643.1333333333333,19.56299435028249,10.440677966101692,16.908757062146893,86.35076785035682,19.049727064070915,17.962147869965072,23.903954802259886,3.870416269264377,3.2959816056835347,1466.0844632768358,1579.480790960452,1625.94406779661,3196690.270056497,3090780.961581921,2910156.802259887,121111111 Matrix,2.175121713758565,2.251779317101115,1.3581400469125793,19.512189621611363,10.419512889901721,16.86132792099891,80.39981724773119,14.917555200525936,12.144102441963362,23.903954802259886,3.870416269264377,3.2959816056835347,1462.2906162464983,1574.0813891658358,1620.4030907278163,-878663.8661349295,-800361.11299435,-912083.4723163843,107.4614748902205,20.05086086891229,0.26330688010651193,46.793030432512,-2591108.451445664,31.0703526772078,4656.775096140151
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||||
11,6.694222384570424,5.225497369959088,6.189037869287867,112.89655172413794,3.302454704850964,1.6244886031560493,2.6142606662770307,18.2319808620321,8.842813128138177,9.628057948426159,3.5257159555815325,1.1053817697694035,1.0508980568685522,183.62127410870832,228.96727060198714,244.78638223261248,3933076.896551724,3759788.450029224,3875140.0105201635,111111011 Matrix,0.743271781944804,1.093325506414108,0.37099244128615805,3.2516499761798343,1.6033235269560777,2.566831525129046,12.281030259406478,4.710641264593197,3.8100125204244497,3.5257159555815325,1.1053817697694035,1.0508980568685522,179.82742707837076,223.56786880737098,239.24540516381887,-142277.23963970225,-131353.62454704707,52899.73594389204,20.801684044424125,22.11052549621135,0.29509730425065717,7.4218050282649575,-220731.1282428573,5.681995782219488,642.6407010495607
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||||
12,6.714741828087168,5.29556913504539,6.197516041162227,111.03571428571429,3.2957021791767565,1.774515738498789,2.6016949152542366,17.941532065251376,9.025221561234263,9.562682315145281,3.430690072639225,1.1397096839455112,1.0283297616728362,254.215799031477,309.59685230024206,328.1949152542373,2502909.01937046,2423414.11622276,2218876.640435836,011111111 Matrix,0.7637912254615475,1.1633972715004104,0.37947061316051744,3.244897450505627,1.7533506622988175,2.554265774106252,11.990581462625755,4.893049697689283,3.744636887143572,3.430690072639225,1.1397096839455112,1.0283297616728362,250.42195200113943,304.1974505056259,322.6539381854437,-1572445.1168209664,-1467727.958353511,-1603363.6341404356,20.628268047458608,22.293657330157902,0.29792389970619526,7.552513886910696,-4643536.709314913,5.5987295182575725,877.2733406922091
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||||
13,6.710240112994348,5.254083333333333,6.210937288135595,112.3,3.3545197740113,1.7649717514124292,2.670903954802259,20.885346250053388,9.15355553815482,9.58846585001164,4.331638418079096,1.1916033255283123,1.0321074378789166,258.1076271186441,312.2790960451978,337.8079096045199,3622679.394350282,3504371.912994351,3422020.6564971744,111011111 Matrix,0.7592895103687276,1.121911469788353,0.39289186013388555,3.3037150453401707,1.7438066752124577,2.6234748136542745,14.934395647427767,5.021383674609839,3.7704204220099315,4.331638418079096,1.1916033255283123,1.0321074378789166,254.31378008830652,306.8796942505816,332.2669325357263,-452674.7418411444,-386770.16158192046,-400219.618079097,23.726199744047538,25.353018426408767,0.3451443964661226,7.670996534206903,-1239664.5215021619,6.555349181486324,893.4604068746144
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||||
14,6.678555932203389,5.263268926553672,6.224452824858757,111.13333333333334,3.204237288135593,1.8573446327683614,2.8381355932203394,19.109275393859384,9.998857524680806,10.531172242760968,3.798587570621469,1.44710433244916,1.316050201395029,260.2847457627119,325.64265536723167,351.60310734463275,3506667.5717514125,3405615.4361581923,3325872.1062146896,112111111 Matrix,0.7276053295777691,1.131097063008692,0.4064073968570474,3.1534325594644637,1.8361795565683898,2.790706452072355,13.158324791233763,5.8666856611358265,4.713126814759259,3.798587570621469,1.44710433244916,1.316050201395029,256.4908987323744,320.2432535726155,346.06213027583914,-568686.5644400138,-485526.6384180789,-496368.16836158186,23.73813726712885,25.63206183613193,0.34945136383942776,7.7803185681052085,-1550581.3712196746,6.561742104465658,922.796282580829
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15,6.618828296332402,4.883365867913502,5.665604591990973,117.86206896551724,2.8918760958503795,0.26154295733489186,0.35242548217416725,19.024907096838845,8.729577774536319,9.234835628790563,3.7910578609000587,1.1753280079677226,1.09068800843625,251.86908240794858,72.66510812390416,87.49035651665692,4031609.008766802,3827561.113968439,3908794.109877265,111111101 Matrix,0.6678776937067816,0.7511940043685224,-0.15244083601073655,2.84107136717925,0.24037788113492034,0.3049963410261826,13.073956494213224,4.5974059109913386,3.4167902007888538,3.7910578609000587,1.1753280079677226,1.09068800843625,248.07523537761102,67.26570632928801,81.9493794478633,-43745.12742462428,-63580.9606078323,86553.83530099364,21.088152605993415,21.470676146535133,0.28522138467377117,3.3864455893403527,-20772.25273146294,6.057073877304031,397.2903211547623
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||||
16,6.072488700564974,4.889088135593221,5.7218762711864395,12.0,0.48615819209039546,0.41723163841807903,0.618361581920904,7.485007428713285,5.394210820768308,6.086258203322606,0.4316384180790961,0.15435572811884654,0.11134807463405508,47.18079096045198,89.44971751412429,89.56101694915255,2819366.6994350282,2741348.6429378535,2563416.8689265545,101111111 Matrix,0.12153809793935366,0.7569162720482412,-0.09616915681526983,0.435353463419266,0.39606656221810754,0.5709324407729194,1.5340568260876646,1.2620389572233277,0.2682127753208965,0.4316384180790961,0.15435572811884654,0.11134807463405508,43.38694393011442,84.05031571950813,84.02003988035892,-1255987.436756398,-1149793.4316384178,-1258823.405649717,3.064308558631889,30.643085586318886,0.4267953004703783,1.402352466410293,-3664604.274044533,0.6973422208319977,211.45729952998147
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||||
17,6.695598075715872,5.241983333333333,6.20701986093003,111.33333333333333,3.2870056497175137,1.7446327683615814,2.70593220338983,20.31697468518274,9.307456889881013,9.908025683492165,4.162429378531074,1.2423301296620992,1.1309558356415015,261.33361581920906,311.5661016949153,381.4067796610169,3834118.0632768357,3679551.162711864,3657039.798870057,111110111 Matrix,0.7446474730902519,1.1098114697883528,0.3889744329283209,3.2362009210463842,1.7234676921616099,2.6585030622418455,14.366024082557118,5.1752850263360335,4.089980255490455,4.162429378531074,1.2423301296620992,1.1309558356415015,257.5397687888715,306.16669990029914,375.8658025922233,-241236.0729145906,-211590.91186440736,-165200.47570621455,23.63128936438361,25.470850811910477,0.34696311076716296,7.61817167544984,-618027.4604852125,6.535715343834674,939.5722712813939
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||||
18,6.594282768361582,5.17947033898305,6.130927118644067,88.2,2.758757062146892,1.531073446327684,2.3087570621468925,19.469649813943835,8.376460975694785,8.911258373730638,3.934463276836158,0.9769385379073318,0.8496154852790213,206.71525423728812,256.2234463276836,275.13389830508476,3725999.4960451974,3596489.510734463,3506847.701694915,111211111 Matrix,0.6433321657359619,1.0472984754380699,0.3128816906423575,2.7079523334757627,1.5099083701277125,2.261327920998908,13.518699211318214,4.244289112149805,3.0932129457289284,3.934463276836158,0.9769385379073318,0.8496154852790213,202.92140720695056,250.82404453306742,269.59292123629115,-349354.64014622895,-294652.5638418081,-315392.57288135635,20.856201269196948,28.37578403972374,0.39180005081973185,6.479188624602383,-959399.7768693934,5.7610173000225116,723.3383729763091
|
||||
19,6.71800451977401,5.289621186440679,6.225506214689263,110.93333333333334,3.253107344632769,1.766949152542373,2.6511299435028244,20.142478976691407,9.738274583273911,9.636358845999863,4.1022598870056495,1.359422481646327,1.042290629314223,257.1768361581921,304.871186440678,328.980790960452,2250645.0418079095,1947889.174011299,1950368.1491525427,111111111 Matrix,0.7670539171483899,1.1574493228956992,0.4074607866875537,3.2023026159616395,1.7457840763424015,2.60370080235484,14.191528374065786,5.6061027197289315,3.818313417998154,4.1022598870056495,1.359422481646327,1.042290629314223,253.38298912785453,299.47178464606185,323.4398138916584,-1824709.0943835168,-1943252.9005649723,-1871872.1254237287,23.615944511792872,25.546093822852864,0.3481244683979331,7.55178749465888,-5639834.120372218,6.5039729979661995,876.2945876655747
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||||
20,5.940467231638419,4.8038901048989775,6.389432768361582,117.96666666666667,0.06610169491525425,0.06384180790960454,3.2646892655367235,5.940467231638419,4.8038901048989775,9.467750616413413,0.0,0.0,0.9406744277433934,14.273446327683613,24.1819209039548,317.6757062146892,3417667.280225989,3323168.3129943507,3218499.772881356,110111111 Matrix,-0.010483370987201646,0.6717182413539975,0.5713873403598724,0.015296966244124778,0.04267673170963303,3.217260124388739,-0.010483370987201646,0.6717182413539975,3.649705188411704,0.0,0.0,0.9406744277433934,10.479599297346056,18.78251910933865,312.1347291458956,-657686.8559654374,-567973.7615819206,-603740.5016949154,4.3109400587785,4.385245609381916,0.021511906799358264,3.275233822342497,-1829401.1192422733,0.9406744277433934,341.3968475525803
|
|
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Reference in a new issue