This commit is contained in:
hoernschen 2020-11-05 16:58:11 +01:00
parent c7bbd5794b
commit 52e328122d
66 changed files with 1186598 additions and 0 deletions

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.gitignore vendored
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# Project Specific
output/
plots*
.vscode
# ---> Python
# Byte-compiled / optimized / DLL files
__pycache__/

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53 2020-10-16 14:57:50.070 startTestrun
54 2020-10-16 14:59:50.190 stopTestrun
55 2020-10-16 14:59:53.193 startTestrun
56 2020-10-16 15:01:53.313 stopTestrun
57 2020-10-16 15:01:56.316 startTestrun
58 2020-10-16 15:03:56.436 stopTestrun
59 2020-10-16 15:04:00.440 startTestrun
60 2020-10-16 15:06:00.560 stopTestrun

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2020-10-16 15:06:47.607,startTestrun
2020-10-16 15:08:47.727,stopTestrun
2020-10-16 15:08:47.727,startTestrun
2020-10-16 15:10:47.847,stopTestrun
2020-10-16 15:10:47.847,startTestrun
2020-10-16 15:12:47.967,stopTestrun
2020-10-16 15:12:47.967,startTestrun
2020-10-16 15:14:47.087,stopTestrun
2020-10-16 15:14:47.087,startTestrun
2020-10-16 15:16:47.207,stopTestrun
2020-10-16 15:16:47.207,startTestrun
2020-10-16 15:18:47.327,stopTestrun
2020-10-16 15:18:47.327,startTestrun
2020-10-16 15:20:47.447,stopTestrun
2020-10-16 15:20:47.447,startTestrun
2020-10-16 15:22:47.567,stopTestrun
2020-10-16 15:22:47.567,startTestrun
2020-10-16 15:24:47.687,stopTestrun
2020-10-16 15:24:47.687,startTestrun
2020-10-16 15:26:47.807,stopTestrun
1 2020-10-16 15:06:47.607 startTestrun
2 2020-10-16 15:08:47.727 stopTestrun
3 2020-10-16 15:08:47.727 startTestrun
4 2020-10-16 15:10:47.847 stopTestrun
5 2020-10-16 15:10:47.847 startTestrun
6 2020-10-16 15:12:47.967 stopTestrun
7 2020-10-16 15:12:47.967 startTestrun
8 2020-10-16 15:14:47.087 stopTestrun
9 2020-10-16 15:14:47.087 startTestrun
10 2020-10-16 15:16:47.207 stopTestrun
11 2020-10-16 15:16:47.207 startTestrun
12 2020-10-16 15:18:47.327 stopTestrun
13 2020-10-16 15:18:47.327 startTestrun
14 2020-10-16 15:20:47.447 stopTestrun
15 2020-10-16 15:20:47.447 startTestrun
16 2020-10-16 15:22:47.567 stopTestrun
17 2020-10-16 15:22:47.567 startTestrun
18 2020-10-16 15:24:47.687 stopTestrun
19 2020-10-16 15:24:47.687 startTestrun
20 2020-10-16 15:26:47.807 stopTestrun

31
MeasurementConverter.py Normal file
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import os
import glob
from pathlib import Path
import pandas as pd
import time
from datetime import datetime
csv_dir = "/home/hoernschen/cloud/Studium/Master/Masterthesis/Messungen/"
output_dir = "/home/hoernschen/workspace/python/MeasurementConverter/"
def format_timestamp(ts):
time_string = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(int(ts)))
#time = datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
time_string = time_string + "." + str(int(ts)%1000).zfill(3)
return time_string
measurement_files = Path(csv_dir).rglob('*.csv')
for measurement_file in measurement_files:
if "Messung" or "Network" in measurement_file.name:
continue
print(measurement_file.name)
csv_data = pd.read_csv(measurement_file.absolute())
new_csv_data = []
for data in csv_data.to_numpy():
new_csv_data.append([format_timestamp(data[1]),"startTestrun"])
new_csv_data.append([format_timestamp(data[2]),"stopTestrun"])
new_csv = pd.DataFrame(new_csv_data)
new_csv.to_csv(output_dir + measurement_file.name,header=False, index=False)

893
MeasurementEvaluator.ipynb Normal file
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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"output_type": "error",
"ename": "ModuleNotFoundError",
"evalue": "No module named 'pandas'",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"\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",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pandas'"
]
}
],
"source": [
"import os\n",
"import time\n",
"import glob\n",
"from pathlib import Path\n",
"import pandas as pd\n",
"import plotly.graph_objects as go\n",
"import plotly.express as px\n",
"pd.options.plotting.backend = \"plotly\" \n",
"import numpy as np\n",
"import seaborn as sns\n",
"from scipy import stats"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"if not os.path.exists('output'):\n",
" os.makedirs('output')\n",
"if not os.path.exists('plots'):\n",
" os.makedirs('plots')\n",
"if not os.path.exists('plots/CPU'):\n",
" os.makedirs('plots/CPU')\n",
"if not os.path.exists('plots/Disc'):\n",
" os.makedirs('plots/Disc')\n",
"if not os.path.exists('plots/Energy'):\n",
" os.makedirs('plots/Energy')\n",
"if not os.path.exists('plots/MEM'):\n",
" os.makedirs('plots/MEM')\n",
"if not os.path.exists('plots/Network'):\n",
" os.makedirs('plots/Network')\n",
"if not os.path.exists('plots/Network/received'):\n",
" os.makedirs('plots/Network/received')\n",
"if not os.path.exists('plots/Network/transmitted'):\n",
" os.makedirs('plots/Network/transmitted')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def plotFigure(dataToUse, colNamesArray, unit, titleText, filePath):\n",
" if len(colNamesArray) > 3:\n",
" print(\"Too much cols\")\n",
" return\n",
" data = dataToUse[colNamesArray]\n",
" data.columns =['L1','L2','L3']\n",
" iteration_plot = data.plot.line(line_shape='hv') # other options: spline / vhv\n",
" iteration_plot.update_xaxes(\n",
" title_text=\"Time (s)\",\n",
" ticktext=[\"30\", \"60\", \"90\", \"120\"],\n",
" tickvals=[data.index[29], data.index[59], data.index[89], data.index.max()]\n",
" )\n",
" iteration_plot.update_yaxes(title_text=unit)\n",
" iteration_plot.update_layout(\n",
" title_text=titleText,\n",
" legend=dict(\n",
" title=\"Server\"\n",
" )\n",
" )\n",
" iteration_plot.write_image(filePath)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def plotBoxplotFigure(data, colNamesArray, title, fileName):\n",
" if len(colNamesArray) > 3:\n",
" print(\"Too much cols\")\n",
" return\n",
" fig = go.Figure()\n",
" fig.add_trace(go.Box(\n",
" x=data[colNamesArray[0]],\n",
" name='L1'\n",
" ))\n",
" fig.add_trace(go.Box(\n",
" x=data[colNamesArray[1]],\n",
" name='L2'\n",
" ))\n",
" fig.add_trace(go.Box(\n",
" x=data[colNamesArray[2]],\n",
" name='L3'\n",
" ))\n",
"\n",
" fig.update_layout(\n",
" title_text=title,\n",
" xaxis=dict(title='W', zeroline=False),\n",
" boxmode='group',\n",
" legend=dict(\n",
" title=\"Server\"\n",
" )\n",
" )\n",
" fig.update_traces(orientation='h')\n",
" fig.write_image(fileName)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def cleanDataIQR(data):\n",
" Q1=data.quantile(0.25)\n",
" Q3=data.quantile(0.75)\n",
" IQR=Q3-Q1\n",
" lowqe_bound=Q1 - 10 * IQR\n",
" upper_bound=Q3 + 10 * IQR\n",
" return data[~((data < lowqe_bound) |(data > upper_bound))]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"(123251, 9)\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
" AVG[W] L1 Min[W] L1 Max[W] L1 AVG[W] L2 Min[W] L2 \\\n",
"Time \n",
"14.10.20 00:00:01 0.076 0.009 0.148 -0.117 -0.196 \n",
"14.10.20 00:00:02 0.100 0.021 0.178 -0.068 -0.209 \n",
"14.10.20 00:00:03 0.090 0.002 0.186 0.457 -0.222 \n",
"14.10.20 00:00:04 0.073 -0.018 0.131 -0.085 -0.169 \n",
"14.10.20 00:00:05 0.106 0.029 0.169 -0.100 -0.223 \n",
"\n",
" Max[W] L2 AVG[W] L3 Min[W] L3 Max[W] L3 \n",
"Time \n",
"14.10.20 00:00:01 0.037 0.052 -0.075 0.207 \n",
"14.10.20 00:00:02 0.007 0.030 -0.132 0.176 \n",
"14.10.20 00:00:03 2.782 0.027 -0.130 0.182 \n",
"14.10.20 00:00:04 0.019 0.055 -0.066 0.186 \n",
"14.10.20 00:00:05 0.027 0.005 -0.139 0.176 "
],
"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>"
},
"metadata": {},
"execution_count": 5
}
],
"source": [
"l1_matrix = pd.read_csv(\"./MeasurementFiles/Matrix/Messung_1_L1.csv\", sep=\";\", decimal=\",\").dropna(axis=1).drop('Nummer', axis=1)\n",
"l1_matrix.columns =['Time', 'AVG[W] L1', 'Min[W] L1', 'Max[W] L1']\n",
"l1_matrix.index = l1_matrix['Time']\n",
"l1_matrix = l1_matrix.drop(\"Time\", axis=1)\n",
"l2_matrix = pd.read_csv(\"./MeasurementFiles/Matrix/Messung_1_L2.csv\", sep=\";\", decimal=\",\").dropna(axis=1).drop('Nummer', axis=1)\n",
"l2_matrix.columns =['Time', 'AVG[W] L2', 'Min[W] L2', 'Max[W] L2']\n",
"l2_matrix.index = l2_matrix['Time']\n",
"l2_matrix = l2_matrix.drop(\"Time\", axis=1)\n",
"l3_matrix = pd.read_csv(\"./MeasurementFiles/Matrix/Messung_1_L3.csv\", sep=\";\", decimal=\",\").dropna(axis=1).drop('Nummer', axis=1)\n",
"l3_matrix.columns =['Time', 'AVG[W] L3', 'Min[W] L3', 'Max[W] L3']\n",
"l3_matrix.index = l3_matrix['Time']\n",
"l3_matrix = l3_matrix.drop(\"Time\", axis=1)\n",
"matrix = l1_matrix.merge(l2_matrix, on='Time').merge(l3_matrix, on='Time')\n",
"print(matrix.shape)\n",
"matrix.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"(123251, 27)\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
" AVG[W] L1 Min[W] L1 Max[W] L1 AVG[W] L2 Min[W] L2 \\\n",
"Time \n",
"14.10.20 00:00:01 0.076 0.009 0.148 -0.117 -0.196 \n",
"14.10.20 00:00:02 0.100 0.021 0.178 -0.068 -0.209 \n",
"14.10.20 00:00:03 0.090 0.002 0.186 0.457 -0.222 \n",
"14.10.20 00:00:04 0.073 -0.018 0.131 -0.085 -0.169 \n",
"14.10.20 00:00:05 0.106 0.029 0.169 -0.100 -0.223 \n",
"\n",
" Max[W] L2 AVG[W] L3 Min[W] L3 Max[W] L3 CPU% L1 ... \\\n",
"Time ... \n",
"14.10.20 00:00:01 0.037 0.052 -0.075 0.207 0.0 ... \n",
"14.10.20 00:00:02 0.007 0.030 -0.132 0.176 0.0 ... \n",
"14.10.20 00:00:03 2.782 0.027 -0.130 0.182 0.0 ... \n",
"14.10.20 00:00:04 0.019 0.055 -0.066 0.186 0.0 ... \n",
"14.10.20 00:00:05 0.027 0.005 -0.139 0.176 0.0 ... \n",
"\n",
" KB Transmitted L2 KB Received L2 KB Read L2 KB Write L2 \\\n",
"Time \n",
"14.10.20 00:00:01 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:02 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:03 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:04 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:05 0.0 0.0 0.0 0.0 \n",
"\n",
" CPU% L3 MEM Used L3 KB Transmitted L3 KB Received L3 \\\n",
"Time \n",
"14.10.20 00:00:01 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:02 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:03 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:04 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:05 0.0 0.0 0.0 0.0 \n",
"\n",
" KB Read L3 KB Write L3 \n",
"Time \n",
"14.10.20 00:00:01 0.0 0.0 \n",
"14.10.20 00:00:02 0.0 0.0 \n",
"14.10.20 00:00:03 0.0 0.0 \n",
"14.10.20 00:00:04 0.0 0.0 \n",
"14.10.20 00:00:05 0.0 0.0 \n",
"\n",
"[5 rows x 27 columns]"
],
"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": 6
}
],
"source": [
"cols = ['Date Time','[CPU]Totl%','[MEM]Used','[NET]TxKBTot','[NET]RxKBTot','[DSK]ReadKBTot','[DSK]WriteKBTot']\n",
"f1_matrix = pd.read_csv(\"./MeasurementFiles/Matrix/Network-server-207-F1.csv\", sep=\";\", usecols=cols).dropna(axis=1)#.drop('Nummer', axis=1)\n",
"f1_matrix.columns =['Time','CPU% L1','MEM Used L1','KB Transmitted L1','KB Received L1','KB Read L1','KB Write L1']\n",
"f1_matrix['Time'] = [time.strftime('%d.%m.%y %H:%M:%S', time.strptime(time_string, '%Y%m%d %H:%M:%S')) for time_string in f1_matrix['Time']]\n",
"f1_matrix.index = f1_matrix['Time']\n",
"f1_matrix = f1_matrix.drop(\"Time\", axis=1)\n",
"f2_matrix = pd.read_csv(\"./MeasurementFiles/Matrix/Network-server-209-F2.csv\", sep=\";\", usecols=cols).dropna(axis=1)#.drop('Nummer', axis=1)\n",
"f2_matrix.columns =['Time','CPU% L2','MEM Used L2','KB Transmitted L2','KB Received L2','KB Read L2','KB Write L2']\n",
"f2_matrix['Time'] = [time.strftime('%d.%m.%y %H:%M:%S', time.strptime(time_string, '%Y%m%d %H:%M:%S')) for time_string in f2_matrix['Time']]\n",
"f2_matrix.index = f2_matrix['Time']\n",
"f2_matrix = f2_matrix.drop(\"Time\", axis=1)\n",
"f3_matrix = pd.read_csv(\"./MeasurementFiles/Matrix/Network-server-208-F3.csv\", sep=\";\", usecols=cols).dropna(axis=1)#.drop('Nummer', axis=1)\n",
"f3_matrix.columns =['Time','CPU% L3','MEM Used L3','KB Transmitted L3','KB Received L3','KB Read L3','KB Write L3']\n",
"f3_matrix['Time'] = [time.strftime('%d.%m.%y %H:%M:%S', time.strptime(time_string, '%Y%m%d %H:%M:%S')) for time_string in f3_matrix['Time']]\n",
"f3_matrix.index = f3_matrix['Time']\n",
"f3_matrix = f3_matrix.drop(\"Time\", axis=1)\n",
"matrix = matrix.merge(f1_matrix, on='Time', how='outer').merge(f2_matrix, on='Time', how='outer').merge(f3_matrix, on='Time', how='outer').fillna(0)\n",
"print(matrix.shape)\n",
"matrix.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" AVG[W] L1 Min[W] L1 Max[W] L1 AVG[W] L2 Min[W] L2 \\\n",
"Time \n",
"15.10.20 00:00:01 9.157 7.878 13.265 6.515 6.004 \n",
"15.10.20 00:00:02 8.819 7.424 12.104 6.643 5.986 \n",
"15.10.20 00:00:03 8.238 7.494 8.660 6.199 5.304 \n",
"15.10.20 00:00:04 8.269 7.554 8.916 6.522 6.175 \n",
"15.10.20 00:00:05 8.378 7.808 8.852 6.450 6.222 \n",
"\n",
" Max[W] L2 AVG[W] L3 Min[W] L3 Max[W] L3 \n",
"Time \n",
"15.10.20 00:00:01 6.963 7.210 6.939 7.701 \n",
"15.10.20 00:00:02 8.129 9.163 7.199 13.603 \n",
"15.10.20 00:00:03 6.595 7.501 7.057 8.369 \n",
"15.10.20 00:00:04 6.811 7.221 6.728 7.801 \n",
"15.10.20 00:00:05 6.800 7.229 6.982 7.485 "
],
"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>"
},
"metadata": {},
"execution_count": 7
}
],
"source": [
"l1_activitypub = pd.read_csv(\"./MeasurementFiles/ActivityPub/Messung_2_L1.csv\", sep=\";\", decimal=\",\").dropna(axis=1).drop('Nummer', axis=1)\n",
"l1_activitypub.columns =['Time', 'AVG[W] L1', 'Min[W] L1', 'Max[W] L1']\n",
"l1_activitypub.index = l1_activitypub['Time']\n",
"l1_activitypub = l1_activitypub.drop(\"Time\", axis=1)\n",
"l2_activitypub = pd.read_csv(\"./MeasurementFiles/ActivityPub/Messung_2_L2.csv\", sep=\";\", decimal=\",\").dropna(axis=1).drop('Nummer', axis=1)\n",
"l2_activitypub.columns =['Time', 'AVG[W] L2', 'Min[W] L2', 'Max[W] L2']\n",
"l2_activitypub.index = l2_activitypub['Time']\n",
"l2_activitypub = l2_activitypub.drop(\"Time\", axis=1)\n",
"l3_activitypub = pd.read_csv(\"./MeasurementFiles/ActivityPub/Messung_2_L3.csv\", sep=\";\", decimal=\",\").dropna(axis=1).drop('Nummer', axis=1)\n",
"l3_activitypub.columns =['Time', 'AVG[W] L3', 'Min[W] L3', 'Max[W] L3']\n",
"l3_activitypub.index = l3_activitypub['Time']\n",
"l3_activitypub = l3_activitypub.drop(\"Time\", axis=1)\n",
"activitypub = l1_activitypub.merge(l2_activitypub, on='Time').merge(l3_activitypub, on='Time')\n",
"activitypub.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"(142191, 27)\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
" AVG[W] L1 Min[W] L1 Max[W] L1 AVG[W] L2 Min[W] L2 \\\n",
"Time \n",
"15.10.20 00:00:01 9.157 7.878 13.265 6.515 6.004 \n",
"15.10.20 00:00:02 8.819 7.424 12.104 6.643 5.986 \n",
"15.10.20 00:00:03 8.238 7.494 8.660 6.199 5.304 \n",
"15.10.20 00:00:04 8.269 7.554 8.916 6.522 6.175 \n",
"15.10.20 00:00:05 8.378 7.808 8.852 6.450 6.222 \n",
"\n",
" Max[W] L2 AVG[W] L3 Min[W] L3 Max[W] L3 CPU% L1 ... \\\n",
"Time ... \n",
"15.10.20 00:00:01 6.963 7.210 6.939 7.701 0.0 ... \n",
"15.10.20 00:00:02 8.129 9.163 7.199 13.603 0.0 ... \n",
"15.10.20 00:00:03 6.595 7.501 7.057 8.369 0.0 ... \n",
"15.10.20 00:00:04 6.811 7.221 6.728 7.801 0.0 ... \n",
"15.10.20 00:00:05 6.800 7.229 6.982 7.485 0.0 ... \n",
"\n",
" KB Transmitted L2 KB Received L2 KB Read L2 KB Write L2 \\\n",
"Time \n",
"15.10.20 00:00:01 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:02 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:03 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:04 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:05 0.0 0.0 0.0 0.0 \n",
"\n",
" CPU% L3 MEM Used L3 KB Transmitted L3 KB Received L3 \\\n",
"Time \n",
"15.10.20 00:00:01 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:02 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:03 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:04 0.0 0.0 0.0 0.0 \n",
"15.10.20 00:00:05 0.0 0.0 0.0 0.0 \n",
"\n",
" KB Read L3 KB Write L3 \n",
"Time \n",
"15.10.20 00:00:01 0.0 0.0 \n",
"15.10.20 00:00:02 0.0 0.0 \n",
"15.10.20 00:00:03 0.0 0.0 \n",
"15.10.20 00:00:04 0.0 0.0 \n",
"15.10.20 00:00:05 0.0 0.0 \n",
"\n",
"[5 rows x 27 columns]"
],
"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>"
},
"metadata": {},
"execution_count": 8
}
],
"source": [
"cols = ['Date Time','[CPU]Totl%','[MEM]Used','[NET]TxKBTot','[NET]RxKBTot','[DSK]ReadKBTot','[DSK]WriteKBTot']\n",
"f1_activitypub = pd.read_csv(\"./MeasurementFiles/ActivityPub/Network-server-207-F1.csv\", sep=\";\", usecols=cols).dropna(axis=1)\n",
"f1_activitypub.columns =['Time','CPU% L1','MEM Used L1','KB Transmitted L1','KB Received L1','KB Read L1','KB Write L1']\n",
"f1_activitypub['Time'] = [time.strftime('%d.%m.%y %H:%M:%S', time.strptime(time_string, '%Y%m%d %H:%M:%S')) for time_string in f1_activitypub['Time']]\n",
"f1_activitypub.index = f1_activitypub['Time']\n",
"f1_activitypub = f1_activitypub.drop(\"Time\", axis=1)\n",
"f2_activitypub = pd.read_csv(\"./MeasurementFiles/ActivityPub/Network-server-209-F2.csv\", sep=\";\", usecols=cols).dropna(axis=1)\n",
"f2_activitypub.columns =['Time','CPU% L2','MEM Used L2','KB Transmitted L2','KB Received L2','KB Read L2','KB Write L2']\n",
"f2_activitypub['Time'] = [time.strftime('%d.%m.%y %H:%M:%S', time.strptime(time_string, '%Y%m%d %H:%M:%S')) for time_string in f2_activitypub['Time']]\n",
"f2_activitypub.index = f2_activitypub['Time']\n",
"f2_activitypub = f2_activitypub.drop(\"Time\", axis=1)\n",
"f3_activitypub = pd.read_csv(\"./MeasurementFiles/ActivityPub/Network-server-208-F3.csv\", sep=\";\", usecols=cols).dropna(axis=1)\n",
"f3_activitypub.columns =['Time','CPU% L3','MEM Used L3','KB Transmitted L3','KB Received L3','KB Read L3','KB Write L3']\n",
"f3_activitypub['Time'] = [time.strftime('%d.%m.%y %H:%M:%S', time.strptime(time_string, '%Y%m%d %H:%M:%S')) for time_string in f3_activitypub['Time']]\n",
"f3_activitypub.index = f3_activitypub['Time']\n",
"f3_activitypub = f3_activitypub.drop(\"Time\", axis=1)\n",
"activitypub = activitypub.merge(f1_activitypub, on='Time', how='outer').merge(f2_activitypub, on='Time', how='outer').merge(f3_activitypub, on='Time', how='outer').fillna(0)\n",
"print(activitypub.shape)\n",
"activitypub.head()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"(228591, 27)\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
" AVG[W] L1 Min[W] L1 Max[W] L1 AVG[W] L2 Min[W] L2 \\\n",
"Time \n",
"14.10.20 00:00:01 0.076 0.009 0.148 -0.117 -0.196 \n",
"14.10.20 00:00:02 0.100 0.021 0.178 -0.068 -0.209 \n",
"14.10.20 00:00:03 0.090 0.002 0.186 0.457 -0.222 \n",
"14.10.20 00:00:04 0.073 -0.018 0.131 -0.085 -0.169 \n",
"14.10.20 00:00:05 0.106 0.029 0.169 -0.100 -0.223 \n",
"\n",
" Max[W] L2 AVG[W] L3 Min[W] L3 Max[W] L3 CPU% L1 ... \\\n",
"Time ... \n",
"14.10.20 00:00:01 0.037 0.052 -0.075 0.207 0.0 ... \n",
"14.10.20 00:00:02 0.007 0.030 -0.132 0.176 0.0 ... \n",
"14.10.20 00:00:03 2.782 0.027 -0.130 0.182 0.0 ... \n",
"14.10.20 00:00:04 0.019 0.055 -0.066 0.186 0.0 ... \n",
"14.10.20 00:00:05 0.027 0.005 -0.139 0.176 0.0 ... \n",
"\n",
" KB Transmitted L2 KB Received L2 KB Read L2 KB Write L2 \\\n",
"Time \n",
"14.10.20 00:00:01 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:02 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:03 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:04 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:05 0.0 0.0 0.0 0.0 \n",
"\n",
" CPU% L3 MEM Used L3 KB Transmitted L3 KB Received L3 \\\n",
"Time \n",
"14.10.20 00:00:01 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:02 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:03 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:04 0.0 0.0 0.0 0.0 \n",
"14.10.20 00:00:05 0.0 0.0 0.0 0.0 \n",
"\n",
" KB Read L3 KB Write L3 \n",
"Time \n",
"14.10.20 00:00:01 0.0 0.0 \n",
"14.10.20 00:00:02 0.0 0.0 \n",
"14.10.20 00:00:03 0.0 0.0 \n",
"14.10.20 00:00:04 0.0 0.0 \n",
"14.10.20 00:00:05 0.0 0.0 \n",
"\n",
"[5 rows x 27 columns]"
],
"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
}
],
"source": [
"frames = [matrix, activitypub]\n",
"result = pd.concat(frames)\n",
"result = result[~result.index.duplicated(keep='first')]\n",
"result.to_csv(\"output/MeasurementData.csv\")\n",
"print(result.shape)\n",
"result.head()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"tags": []
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"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",
"211111111 Matrix\n",
"121111111 Matrix\n",
"111111011 Matrix\n",
"011111111 Matrix\n",
"111011111 Matrix\n",
"112111111 Matrix\n",
"111111101 Matrix\n",
"101111111 Matrix\n",
"111110111 Matrix\n",
"111211111 Matrix\n",
"111111111 Matrix\n",
"110111111 Matrix\n",
"baseline\n",
"Iteration 5.500000e+00\n",
"Start 1.602788e+09\n",
"End 1.602788e+09\n",
"AVG[W] L1 5.950951e+00\n",
"AVG[W] L2 4.132172e+00\n",
"AVG[W] L3 5.818045e+00\n",
"CPU% L1 5.080473e-02\n",
"CPU% L2 2.116508e-02\n",
"CPU% L3 4.742914e-02\n",
"Energy L1 5.950951e+00\n",
"Energy L2 4.132172e+00\n",
"Energy L3 5.818045e+00\n",
"KB Read L1 0.000000e+00\n",
"KB Read L2 0.000000e+00\n",
"KB Read L3 0.000000e+00\n",
"KB Received L1 0.000000e+00\n",
"KB Received L2 0.000000e+00\n",
"KB Received L3 0.000000e+00\n",
"KB Transmitted L1 0.000000e+00\n",
"KB Transmitted L2 0.000000e+00\n",
"KB Transmitted L3 0.000000e+00\n",
"KB Write L1 3.793847e+00\n",
"KB Write L2 5.399402e+00\n",
"KB Write L3 5.540977e+00\n",
"MEM Used L1 4.075354e+06\n",
"MEM Used L2 3.891142e+06\n",
"MEM Used L3 3.822240e+06\n",
"Max[W] L1 6.101333e+00\n",
"Max[W] L2 4.379694e+00\n",
"Max[W] L3 5.993006e+00\n",
"Min[W] L1 5.836322e+00\n",
"Min[W] L2 3.933443e+00\n",
"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",
"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 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 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",
"dtype: float64\n",
"6.704910347268386\n",
"max\n",
"AVG[W] L1 6.501847e+00\n",
"Min[W] L1 6.013449e+00\n",
"Max[W] L1 7.691280e+00\n",
"AVG[W] L2 4.705025e+00\n",
"Min[W] L2 3.876602e+00\n",
"Max[W] L2 6.766508e+00\n",
"AVG[W] L3 6.201432e+00\n",
"Min[W] L3 5.670492e+00\n",
"Max[W] L3 7.394390e+00\n",
"CPU% L1 3.728814e+00\n",
"MEM Used L1 4.571048e+06\n",
"KB Transmitted L1 8.279661e+00\n",
"KB Received L1 1.099153e+01\n",
"KB Read L1 0.000000e+00\n",
"KB Write L1 4.452542e+02\n",
"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 Read L2 0.000000e+00\n",
"KB Write L2 4.514915e+02\n",
"CPU% L3 3.084746e+00\n",
"MEM Used L3 4.377153e+06\n",
"KB Transmitted L3 5.516949e+00\n",
"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",
"Iteration 2.600000e+01\n",
"Energy total 1.363917e+02\n",
"Actions Send 1.090000e+02\n",
"dtype: float64\n",
"150.1559780437906\n"
]
}
],
"source": [
"measurement_files = Path(\"MeasurementFiles\").rglob('*.csv')\n",
"summary = pd.DataFrame()\n",
"baseline = None\n",
"maxW = None\n",
"minW = None\n",
"for measurement_file in measurement_files:\n",
" measurement_avg = None\n",
" if \"Messung\" in measurement_file.name or \"Network\" in measurement_file.name:\n",
" continue\n",
" measurement_name = measurement_file.name.split(\" \")[1]\n",
" if \"Windows\" in measurement_file.name:\n",
" measurement_name = measurement_name + \" Windows\"\n",
" elif \"Matrix\" in measurement_file.name:\n",
" measurement_name = measurement_name + \" Matrix\"\n",
" elif \"ActivityPub\" in measurement_file.name:\n",
" measurement_name = measurement_name + \" ActivityPub\"\n",
" print(measurement_name)\n",
" csv_data = pd.read_csv(measurement_file.absolute()).dropna(axis=1)\n",
" start_measurement_string = time.strftime('%d.%m.%y %H:%M:%S', time.localtime(int(csv_data[\"Start\"][0])))\n",
" 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",
" \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",
" 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",
"\n",
" measurement_results = pd.DataFrame()\n",
" iteration_count = 0\n",
" for measurement_row in csv_data.to_numpy():\n",
" title = measurement_name + \" \" + str(measurement_row[0])\n",
" start_string = time.strftime('%d.%m.%y %H:%M:%S', time.localtime(int(measurement_row[1]) + 2))\n",
" 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",
" 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",
"\n",
" iteration['Iteration'] = int(measurement_row[0])\n",
" measurement_results = measurement_results.append(iteration, ignore_index=True)\n",
"\n",
" if baseline is not None:\n",
" baselineTotal = baseline[\"Energy L1\"] + baseline[\"Energy L2\"] + baseline[\"Energy L3\"]\n",
" iteration[\"Energy total\"] = iteration[\"Energy L1\"] + iteration[\"Energy L2\"] + iteration[\"Energy L3\"] - baselineTotal\n",
" if \"Baseline\" not in measurement_name and \"Windows\" not in measurement_name:\n",
" iteration[\"Actions Send\"] = int(measurement_row[3])\n",
" energyEfficiency = iteration[\"Energy total\"] / (iteration[\"Actions Send\"] / 120)\n",
" if maxW is None or energyEfficiency > (maxW[\"Energy total\"] / (maxW[\"Actions Send\"] / 120)):\n",
" maxW = iteration\n",
"\n",
" if minW is None or energyEfficiency < (minW[\"Energy total\"] / (minW[\"Actions Send\"] / 120)):\n",
" minW = iteration\n",
"\n",
" iteration_data = iteration_data.reset_index()\n",
" del iteration_data[\"Time\"]\n",
" if measurement_avg is None:\n",
" measurement_avg = iteration_data\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",
" 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",
" if \"Windows\" not in measurement_name:\n",
" if \"Baseline\" in measurement_name:\n",
" baseline = csv_data_mean\n",
" else:\n",
" csv_data_mean[\"Measurement\"] = measurement_name\n",
" cols_name = [\"Measurement\",\"Actions Send\",\"AVG[W] L1\",\"AVG[W] L2\",\"AVG[W] L3\",\"Energy L1\",\"Energy L2\",\"Energy L3\",\"CPU% L1\",\"CPU% L2\",\"CPU% L3\",\"MEM Used L1\",\"MEM Used L2\",\"MEM Used L3\",\"KB Received L1\",\"KB Received L2\",\"KB Received L3\",\"KB Write L1\",\"KB Write L2\",\"KB Write L3\"]\n",
" summary = summary.append(csv_data_mean[cols_name], ignore_index=True)\n",
"if baseline is not None:\n",
" print(\"baseline\")\n",
" print(baseline)\n",
" print(\"min\")\n",
" print(minW)\n",
" minW[\"Energy Efficiency\"] = minW[\"Energy total\"] / (minW[\"Actions Send\"] / 120)\n",
" print(minW[\"Energy Efficiency\"])\n",
" print(\"max\")\n",
" print(maxW)\n",
" maxW[\"Energy Efficiency\"] = maxW[\"Energy total\"] / (maxW[\"Actions Send\"] / 120)\n",
" print(maxW[\"Energy Efficiency\"])\n",
" for key in summary:\n",
" if key != \"Measurement\" and key != \"Actions Send\":\n",
" baseline_values = []\n",
" for value in summary[key]:\n",
" baseline_values.append(baseline[key])\n",
" summary[key + \" without Baseline\"] = summary[key] - baseline_values\n",
" summary[\"Energy total\"] = summary[\"Energy L1 without Baseline\"] + summary[\"Energy L2 without Baseline\"] + summary[\"Energy L3 without Baseline\"]\n",
" summary[\"Energy Efficiency\"] = summary[\"Energy total\"] / (summary[\"Actions Send\"] / 120)\n",
" summary[\"Energy Efficiency normalized\"] = (summary[\"Energy Efficiency\"] - minW[\"Energy Efficiency\"])/(maxW[\"Energy Efficiency\"] - minW[\"Energy Efficiency\"])\n",
" summary[\"CPU% total\"] = summary[\"CPU% L1 without Baseline\"] + summary[\"CPU% L2 without Baseline\"] + summary[\"CPU% L3 without Baseline\"]\n",
" 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\")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"categories = ['Q1.1','Q1.2','Q1.3', 'Q2.1', 'Q2.2', 'Q3.1', 'Q4.1', 'Q4.2', 'Q4.3']\n",
"\n",
"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",
" 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",
" 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",
" theta=categories,\n",
" fill='toself',\n",
" name='Best'\n",
"))\n",
"\n",
"fig.update_layout(\n",
" title_text=\"Matrix\",\n",
" polar=dict(\n",
" angularaxis=dict(\n",
" direction=\"clockwise\"\n",
" ),\n",
" radialaxis=dict(\n",
" visible=True,\n",
" range=[0, 1],\n",
" tickmode=\"array\",\n",
" tickvals=[0, 1],\n",
" ticktext=[0, 1]\n",
" )),\n",
" showlegend=True\n",
")\n",
"\n",
"fig.write_image(\"Radar Matrix.png\")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"categories = ['Q1.1','Q1.2','Q1.3', 'Q2.1', 'Q2.2', 'Q3.1', 'Q4.1', 'Q4.2', 'Q4.3']\n",
"\n",
"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",
" 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",
" 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",
" theta=categories,\n",
" fill='toself',\n",
" name='Best'\n",
"))\n",
"\n",
"fig.update_layout(\n",
" title_text=\"ActivityPub\",\n",
" polar=dict(\n",
" angularaxis=dict(\n",
" direction=\"clockwise\"\n",
" ),\n",
" radialaxis=dict(\n",
" visible=True,\n",
" range=[0, 1],\n",
" tickmode=\"array\",\n",
" tickvals=[0, 1],\n",
" ticktext=[0, 1]\n",
" )),\n",
" showlegend=True\n",
")\n",
"\n",
"fig.write_image(\"Radar ActivityPub.png\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"End\n"
]
}
],
"source": [
"print(\"End\")"
]
}
],
"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": "3.8.6-final"
}
},
"nbformat": 4,
"nbformat_minor": 4
}

View file

@ -0,0 +1,11 @@
Iteration,Start,End
1,1602787120,1602787240
2,1602787240,1602787360
3,1602787360,1602787480
4,1602787480,1602787600
5,1602787600,1602787720
6,1602787720,1602787840
7,1602787840,1602787961
8,1602787961,1602788081
9,1602788081,1602788201
10,1602788201,1602788321
1 Iteration Start End
2 1 1602787120 1602787240
3 2 1602787240 1602787360
4 3 1602787360 1602787480
5 4 1602787480 1602787600
6 5 1602787600 1602787720
7 6 1602787720 1602787840
8 7 1602787840 1602787961
9 8 1602787961 1602788081
10 9 1602788081 1602788201
11 10 1602788201 1602788321

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602849855,1602849975,116
2,1602849979,1602850099,116
3,1602850103,1602850223,115
4,1602850226,1602850346,115
5,1602850350,1602850470,116
6,1602850474,1602850594,116
7,1602850598,1602850718,116
8,1602850722,1602850842,116
9,1602850845,1602850965,116
10,1602850970,1602851090,116
11,1602851093,1602851213,116
12,1602851217,1602851337,116
13,1602851340,1602851460,116
14,1602851464,1602851584,116
15,1602851587,1602851707,116
16,1602851711,1602851831,116
17,1602851835,1602851955,116
18,1602851958,1602852078,116
19,1602852082,1602852202,116
20,1602852206,1602852326,116
21,1602852329,1602852449,116
22,1602852453,1602852573,116
23,1602852576,1602852696,116
24,1602852700,1602852820,116
25,1602852823,1602852943,116
26,1602852946,1602853066,116
27,1602853070,1602853190,116
28,1602853193,1602853313,116
29,1602853316,1602853436,116
30,1602853440,1602853560,116
1 Iteration Start End Actions Send
2 1 1602849855 1602849975 116
3 2 1602849979 1602850099 116
4 3 1602850103 1602850223 115
5 4 1602850226 1602850346 115
6 5 1602850350 1602850470 116
7 6 1602850474 1602850594 116
8 7 1602850598 1602850718 116
9 8 1602850722 1602850842 116
10 9 1602850845 1602850965 116
11 10 1602850970 1602851090 116
12 11 1602851093 1602851213 116
13 12 1602851217 1602851337 116
14 13 1602851340 1602851460 116
15 14 1602851464 1602851584 116
16 15 1602851587 1602851707 116
17 16 1602851711 1602851831 116
18 17 1602851835 1602851955 116
19 18 1602851958 1602852078 116
20 19 1602852082 1602852202 116
21 20 1602852206 1602852326 116
22 21 1602852329 1602852449 116
23 22 1602852453 1602852573 116
24 23 1602852576 1602852696 116
25 24 1602852700 1602852820 116
26 25 1602852823 1602852943 116
27 26 1602852946 1602853066 116
28 27 1602853070 1602853190 116
29 28 1602853193 1602853313 116
30 29 1602853316 1602853436 116
31 30 1602853440 1602853560 116

View file

@ -0,0 +1,11 @@
Iteration,Start,End
1,1602853607,1602853727
2,1602853727,1602853847
3,1602853847,1602853967
4,1602853967,1602854087
5,1602854087,1602854207
6,1602854207,1602854327
7,1602854327,1602854447
8,1602854447,1602854567
9,1602854567,1602854687
10,1602854687,1602854807
1 Iteration Start End
2 1 1602853607 1602853727
3 2 1602853727 1602853847
4 3 1602853847 1602853967
5 4 1602853967 1602854087
6 5 1602854087 1602854207
7 6 1602854207 1602854327
8 7 1602854327 1602854447
9 8 1602854447 1602854567
10 9 1602854567 1602854687
11 10 1602854687 1602854807

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602788743,1602788863,114
2,1602788865,1602788985,114
3,1602788987,1602789107,113
4,1602789108,1602789228,114
5,1602789230,1602789350,114
6,1602789351,1602789471,113
7,1602789472,1602789592,114
8,1602789594,1602789714,114
9,1602789715,1602789835,114
10,1602789837,1602789957,116
11,1602789958,1602790078,113
12,1602790079,1602790199,114
13,1602790201,1602790321,114
14,1602790322,1602790442,113
15,1602790444,1602790564,114
16,1602790566,1602790686,114
17,1602790688,1602790808,114
18,1602790809,1602790929,114
19,1602790931,1602791051,114
20,1602791053,1602791173,114
21,1602791174,1602791294,113
22,1602791295,1602791415,114
23,1602791417,1602791537,113
24,1602791539,1602791659,114
25,1602791660,1602791780,113
26,1602791781,1602791901,114
27,1602791903,1602792023,114
28,1602792024,1602792144,113
29,1602792145,1602792265,114
30,1602792267,1602792387,113
1 Iteration Start End Actions Send
2 1 1602788743 1602788863 114
3 2 1602788865 1602788985 114
4 3 1602788987 1602789107 113
5 4 1602789108 1602789228 114
6 5 1602789230 1602789350 114
7 6 1602789351 1602789471 113
8 7 1602789472 1602789592 114
9 8 1602789594 1602789714 114
10 9 1602789715 1602789835 114
11 10 1602789837 1602789957 116
12 11 1602789958 1602790078 113
13 12 1602790079 1602790199 114
14 13 1602790201 1602790321 114
15 14 1602790322 1602790442 113
16 15 1602790444 1602790564 114
17 16 1602790566 1602790686 114
18 17 1602790688 1602790808 114
19 18 1602790809 1602790929 114
20 19 1602790931 1602791051 114
21 20 1602791053 1602791173 114
22 21 1602791174 1602791294 113
23 22 1602791295 1602791415 114
24 23 1602791417 1602791537 113
25 24 1602791539 1602791659 114
26 25 1602791660 1602791780 113
27 26 1602791781 1602791901 114
28 27 1602791903 1602792023 114
29 28 1602792024 1602792144 113
30 29 1602792145 1602792265 114
31 30 1602792267 1602792387 113

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602792389,1602792509,114
2,1602792510,1602792630,114
3,1602792632,1602792752,114
4,1602792754,1602792874,114
5,1602792875,1602792995,113
6,1602792996,1602793116,113
7,1602793117,1602793237,113
8,1602793238,1602793358,113
9,1602793359,1602793479,114
10,1602793481,1602793601,114
11,1602793603,1602793723,114
12,1602793725,1602793845,114
13,1602793847,1602793967,114
14,1602793968,1602794088,113
15,1602794090,1602794210,114
16,1602794211,1602794331,113
17,1602794332,1602794452,114
18,1602794454,1602794574,114
19,1602794576,1602794696,114
20,1602794698,1602794818,114
21,1602794820,1602794940,113
22,1602794941,1602795061,113
23,1602795062,1602795182,114
24,1602795183,1602795303,114
25,1602795305,1602795425,114
26,1602795426,1602795546,113
27,1602795547,1602795667,113
28,1602795668,1602795788,113
29,1602795790,1602795910,114
30,1602795912,1602796032,114
1 Iteration Start End Actions Send
2 1 1602792389 1602792509 114
3 2 1602792510 1602792630 114
4 3 1602792632 1602792752 114
5 4 1602792754 1602792874 114
6 5 1602792875 1602792995 113
7 6 1602792996 1602793116 113
8 7 1602793117 1602793237 113
9 8 1602793238 1602793358 113
10 9 1602793359 1602793479 114
11 10 1602793481 1602793601 114
12 11 1602793603 1602793723 114
13 12 1602793725 1602793845 114
14 13 1602793847 1602793967 114
15 14 1602793968 1602794088 113
16 15 1602794090 1602794210 114
17 16 1602794211 1602794331 113
18 17 1602794332 1602794452 114
19 18 1602794454 1602794574 114
20 19 1602794576 1602794696 114
21 20 1602794698 1602794818 114
22 21 1602794820 1602794940 113
23 22 1602794941 1602795061 113
24 23 1602795062 1602795182 114
25 24 1602795183 1602795303 114
26 25 1602795305 1602795425 114
27 26 1602795426 1602795546 113
28 27 1602795547 1602795667 113
29 28 1602795668 1602795788 113
30 29 1602795790 1602795910 114
31 30 1602795912 1602796032 114

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602796034,1602796154,114
2,1602796156,1602796276,114
3,1602796277,1602796397,113
4,1602796398,1602796518,114
5,1602796520,1602796640,113
6,1602796641,1602796761,114
7,1602796763,1602796883,114
8,1602796884,1602797004,113
9,1602797005,1602797125,114
10,1602797127,1602797247,114
11,1602797249,1602797369,114
12,1602797371,1602797491,114
13,1602797493,1602797613,114
14,1602797614,1602797734,113
15,1602797735,1602797855,114
16,1602797857,1602797977,114
17,1602797978,1602798098,113
18,1602798099,1602798219,114
19,1602798220,1602798340,113
20,1602798341,1602798461,113
21,1602798462,1602798582,114
22,1602798584,1602798704,114
23,1602798706,1602798826,114
24,1602798827,1602798947,114
25,1602798949,1602799069,114
26,1602799071,1602799191,114
27,1602799193,1602799313,114
28,1602799314,1602799434,113
29,1602799435,1602799555,114
30,1602799557,1602799677,114
1 Iteration Start End Actions Send
2 1 1602796034 1602796154 114
3 2 1602796156 1602796276 114
4 3 1602796277 1602796397 113
5 4 1602796398 1602796518 114
6 5 1602796520 1602796640 113
7 6 1602796641 1602796761 114
8 7 1602796763 1602796883 114
9 8 1602796884 1602797004 113
10 9 1602797005 1602797125 114
11 10 1602797127 1602797247 114
12 11 1602797249 1602797369 114
13 12 1602797371 1602797491 114
14 13 1602797493 1602797613 114
15 14 1602797614 1602797734 113
16 15 1602797735 1602797855 114
17 16 1602797857 1602797977 114
18 17 1602797978 1602798098 113
19 18 1602798099 1602798219 114
20 19 1602798220 1602798340 113
21 20 1602798341 1602798461 113
22 21 1602798462 1602798582 114
23 22 1602798584 1602798704 114
24 23 1602798706 1602798826 114
25 24 1602798827 1602798947 114
26 25 1602798949 1602799069 114
27 26 1602799071 1602799191 114
28 27 1602799193 1602799313 114
29 28 1602799314 1602799434 113
30 29 1602799435 1602799555 114
31 30 1602799557 1602799677 114

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602799678,1602799798,12
2,1602799800,1602799920,12
3,1602799922,1602800042,12
4,1602800045,1602800165,12
5,1602800167,1602800287,12
6,1602800289,1602800409,12
7,1602800411,1602800531,12
8,1602800533,1602800653,12
9,1602800655,1602800775,12
10,1602800777,1602800897,12
11,1602800899,1602801019,12
12,1602801021,1602801141,12
13,1602801143,1602801263,12
14,1602801266,1602801386,12
15,1602801388,1602801508,12
16,1602801510,1602801630,12
17,1602801632,1602801752,12
18,1602801754,1602801874,12
19,1602801876,1602801996,12
20,1602801998,1602802118,12
21,1602802120,1602802240,12
22,1602802242,1602802362,12
23,1602802364,1602802484,12
24,1602802486,1602802606,12
25,1602802608,1602802728,12
26,1602802731,1602802851,12
27,1602802853,1602802973,12
28,1602802975,1602803095,12
29,1602803097,1602803217,12
30,1602803219,1602803339,12
1 Iteration Start End Actions Send
2 1 1602799678 1602799798 12
3 2 1602799800 1602799920 12
4 3 1602799922 1602800042 12
5 4 1602800045 1602800165 12
6 5 1602800167 1602800287 12
7 6 1602800289 1602800409 12
8 7 1602800411 1602800531 12
9 8 1602800533 1602800653 12
10 9 1602800655 1602800775 12
11 10 1602800777 1602800897 12
12 11 1602800899 1602801019 12
13 12 1602801021 1602801141 12
14 13 1602801143 1602801263 12
15 14 1602801266 1602801386 12
16 15 1602801388 1602801508 12
17 16 1602801510 1602801630 12
18 17 1602801632 1602801752 12
19 18 1602801754 1602801874 12
20 19 1602801876 1602801996 12
21 20 1602801998 1602802118 12
22 21 1602802120 1602802240 12
23 22 1602802242 1602802362 12
24 23 1602802364 1602802484 12
25 24 1602802486 1602802606 12
26 25 1602802608 1602802728 12
27 26 1602802731 1602802851 12
28 27 1602802853 1602802973 12
29 28 1602802975 1602803095 12
30 29 1602803097 1602803217 12
31 30 1602803219 1602803339 12

View file

@ -0,0 +1,27 @@
Iteration,Start,End,Actions Send
1,1602803341,1602803461,728
2,1602803462,1602803582,764
3,1602803583,1602803703,764
4,1602803704,1602803824,727
5,1602803825,1602803945,764
6,1602803946,1602804066,768
7,1602804067,1602804187,762
8,1602804188,1602804308,766
9,1602804309,1602804429,765
14,1602804914,1602805034,788
15,1602805035,1602805155,723
16,1602805156,1602805276,726
17,1602805277,1602805397,766
18,1602805398,1602805518,767
19,1602805519,1602805639,767
20,1602805640,1602805760,727
21,1602805761,1602805881,769
22,1602805882,1602806002,766
23,1602806003,1602806123,763
24,1602806124,1602806244,768
25,1602806245,1602806365,768
26,1602806366,1602806486,766
27,1602806487,1602806607,768
28,1602806608,1602806728,766
29,1602806729,1602806849,727
30,1602806850,1602806970,767
1 Iteration Start End Actions Send
2 1 1602803341 1602803461 728
3 2 1602803462 1602803582 764
4 3 1602803583 1602803703 764
5 4 1602803704 1602803824 727
6 5 1602803825 1602803945 764
7 6 1602803946 1602804066 768
8 7 1602804067 1602804187 762
9 8 1602804188 1602804308 766
10 9 1602804309 1602804429 765
11 14 1602804914 1602805034 788
12 15 1602805035 1602805155 723
13 16 1602805156 1602805276 726
14 17 1602805277 1602805397 766
15 18 1602805398 1602805518 767
16 19 1602805519 1602805639 767
17 20 1602805640 1602805760 727
18 21 1602805761 1602805881 769
19 22 1602805882 1602806002 766
20 23 1602806003 1602806123 763
21 24 1602806124 1602806244 768
22 25 1602806245 1602806365 768
23 26 1602806366 1602806486 766
24 27 1602806487 1602806607 768
25 28 1602806608 1602806728 766
26 29 1602806729 1602806849 727
27 30 1602806850 1602806970 767

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602806971,1602807091,116
2,1602807093,1602807213,116
3,1602807215,1602807335,116
4,1602807336,1602807456,116
5,1602807458,1602807578,115
6,1602807579,1602807699,116
7,1602807701,1602807821,116
8,1602807823,1602807943,116
9,1602807944,1602808064,115
10,1602808065,1602808185,115
11,1602808186,1602808306,116
12,1602808308,1602808428,116
13,1602808430,1602808550,116
14,1602808551,1602808671,116
15,1602808673,1602808793,116
16,1602808795,1602808915,116
17,1602808916,1602809036,115
18,1602809037,1602809157,115
19,1602809158,1602809278,116
20,1602809280,1602809400,116
21,1602809402,1602809522,117
22,1602809524,1602809644,116
23,1602809646,1602809766,116
24,1602809767,1602809887,115
25,1602809888,1602810008,115
26,1602810009,1602810129,115
27,1602810130,1602810250,115
28,1602810251,1602810371,116
29,1602810373,1602810493,116
30,1602810495,1602810615,116
1 Iteration Start End Actions Send
2 1 1602806971 1602807091 116
3 2 1602807093 1602807213 116
4 3 1602807215 1602807335 116
5 4 1602807336 1602807456 116
6 5 1602807458 1602807578 115
7 6 1602807579 1602807699 116
8 7 1602807701 1602807821 116
9 8 1602807823 1602807943 116
10 9 1602807944 1602808064 115
11 10 1602808065 1602808185 115
12 11 1602808186 1602808306 116
13 12 1602808308 1602808428 116
14 13 1602808430 1602808550 116
15 14 1602808551 1602808671 116
16 15 1602808673 1602808793 116
17 16 1602808795 1602808915 116
18 17 1602808916 1602809036 115
19 18 1602809037 1602809157 115
20 19 1602809158 1602809278 116
21 20 1602809280 1602809400 116
22 21 1602809402 1602809522 117
23 22 1602809524 1602809644 116
24 23 1602809646 1602809766 116
25 24 1602809767 1602809887 115
26 25 1602809888 1602810008 115
27 26 1602810009 1602810129 115
28 27 1602810130 1602810250 115
29 28 1602810251 1602810371 116
30 29 1602810373 1602810493 116
31 30 1602810495 1602810615 116

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602810617,1602810737,110
2,1602810738,1602810858,110
3,1602810860,1602810980,110
4,1602810981,1602811101,109
5,1602811103,1602811223,111
6,1602811225,1602811345,110
7,1602811347,1602811467,110
8,1602811468,1602811588,110
9,1602811590,1602811710,110
10,1602811712,1602811832,111
11,1602811834,1602811954,110
12,1602811956,1602812076,110
13,1602812078,1602812198,110
14,1602812199,1602812319,110
15,1602812321,1602812441,110
16,1602812443,1602812563,110
17,1602812564,1602812684,110
18,1602812686,1602812806,110
19,1602812808,1602812928,110
20,1602812930,1602813050,110
21,1602813051,1602813171,110
22,1602813173,1602813293,110
23,1602813295,1602813415,110
24,1602813417,1602813537,110
25,1602813539,1602813659,110
26,1602813660,1602813780,109
27,1602813781,1602813901,110
28,1602813902,1602814022,110
29,1602814024,1602814144,110
30,1602814145,1602814265,110
1 Iteration Start End Actions Send
2 1 1602810617 1602810737 110
3 2 1602810738 1602810858 110
4 3 1602810860 1602810980 110
5 4 1602810981 1602811101 109
6 5 1602811103 1602811223 111
7 6 1602811225 1602811345 110
8 7 1602811347 1602811467 110
9 8 1602811468 1602811588 110
10 9 1602811590 1602811710 110
11 10 1602811712 1602811832 111
12 11 1602811834 1602811954 110
13 12 1602811956 1602812076 110
14 13 1602812078 1602812198 110
15 14 1602812199 1602812319 110
16 15 1602812321 1602812441 110
17 16 1602812443 1602812563 110
18 17 1602812564 1602812684 110
19 18 1602812686 1602812806 110
20 19 1602812808 1602812928 110
21 20 1602812930 1602813050 110
22 21 1602813051 1602813171 110
23 22 1602813173 1602813293 110
24 23 1602813295 1602813415 110
25 24 1602813417 1602813537 110
26 25 1602813539 1602813659 110
27 26 1602813660 1602813780 109
28 27 1602813781 1602813901 110
29 28 1602813902 1602814022 110
30 29 1602814024 1602814144 110
31 30 1602814145 1602814265 110

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602814267,1602814387,114
2,1602814389,1602814509,114
3,1602814510,1602814630,113
4,1602814631,1602814751,114
5,1602814753,1602814873,114
6,1602814875,1602814995,114
7,1602814996,1602815116,113
8,1602815118,1602815238,114
9,1602815239,1602815359,113
10,1602815361,1602815481,113
11,1602815482,1602815602,114
12,1602815604,1602815724,113
13,1602815725,1602815845,114
14,1602815847,1602815967,114
15,1602815968,1602816088,113
16,1602816089,1602816209,113
17,1602816210,1602816330,113
18,1602816331,1602816451,114
19,1602816453,1602816573,113
20,1602816574,1602816694,114
21,1602816696,1602816816,114
22,1602816817,1602816937,113
23,1602816938,1602817058,113
24,1602817059,1602817179,113
25,1602817180,1602817300,114
26,1602817302,1602817422,113
27,1602817423,1602817543,113
28,1602817544,1602817664,113
29,1602817665,1602817785,113
30,1602817787,1602817907,114
1 Iteration Start End Actions Send
2 1 1602814267 1602814387 114
3 2 1602814389 1602814509 114
4 3 1602814510 1602814630 113
5 4 1602814631 1602814751 114
6 5 1602814753 1602814873 114
7 6 1602814875 1602814995 114
8 7 1602814996 1602815116 113
9 8 1602815118 1602815238 114
10 9 1602815239 1602815359 113
11 10 1602815361 1602815481 113
12 11 1602815482 1602815602 114
13 12 1602815604 1602815724 113
14 13 1602815725 1602815845 114
15 14 1602815847 1602815967 114
16 15 1602815968 1602816088 113
17 16 1602816089 1602816209 113
18 17 1602816210 1602816330 113
19 18 1602816331 1602816451 114
20 19 1602816453 1602816573 113
21 20 1602816574 1602816694 114
22 21 1602816696 1602816816 114
23 22 1602816817 1602816937 113
24 23 1602816938 1602817058 113
25 24 1602817059 1602817179 113
26 25 1602817180 1602817300 114
27 26 1602817302 1602817422 113
28 27 1602817423 1602817543 113
29 28 1602817544 1602817664 113
30 29 1602817665 1602817785 113
31 30 1602817787 1602817907 114

View file

@ -0,0 +1,28 @@
Iteration,Start,End,Actions Send
1,1602817908,1602818028,114
2,1602818029,1602818149,114
3,1602818150,1602818270,115
4,1602818272,1602818392,115
5,1602818393,1602818513,115
6,1602818515,1602818635,115
7,1602818636,1602818756,114
8,1602818757,1602818877,115
9,1602818879,1602818999,114
10,1602819000,1602819120,115
11,1602819122,1602819242,115
12,1602819243,1602819363,115
13,1602819365,1602819485,115
14,1602819487,1602819607,115
15,1602819608,1602819728,115
16,1602819729,1602819849,114
17,1602819851,1602819971,115
18,1602819972,1602820092,115
19,1602820094,1602820214,115
20,1602820215,1602820335,115
21,1602820337,1602820457,114
22,1602820458,1602820578,115
23,1602820579,1602820699,116
24,1602820701,1602820821,115
28,1602821186,1602821306,115
29,1602821308,1602821428,115
30,1602821430,1602821550,115
1 Iteration Start End Actions Send
2 1 1602817908 1602818028 114
3 2 1602818029 1602818149 114
4 3 1602818150 1602818270 115
5 4 1602818272 1602818392 115
6 5 1602818393 1602818513 115
7 6 1602818515 1602818635 115
8 7 1602818636 1602818756 114
9 8 1602818757 1602818877 115
10 9 1602818879 1602818999 114
11 10 1602819000 1602819120 115
12 11 1602819122 1602819242 115
13 12 1602819243 1602819363 115
14 13 1602819365 1602819485 115
15 14 1602819487 1602819607 115
16 15 1602819608 1602819728 115
17 16 1602819729 1602819849 114
18 17 1602819851 1602819971 115
19 18 1602819972 1602820092 115
20 19 1602820094 1602820214 115
21 20 1602820215 1602820335 115
22 21 1602820337 1602820457 114
23 22 1602820458 1602820578 115
24 23 1602820579 1602820699 116
25 24 1602820701 1602820821 115
26 28 1602821186 1602821306 115
27 29 1602821308 1602821428 115
28 30 1602821430 1602821550 115

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602696755,1602696875,111
2,1602696877,1602696997,111
3,1602697000,1602697120,111
4,1602697122,1602697242,113
5,1602697244,1602697364,109
6,1602697366,1602697486,109
7,1602697489,1602697609,108
8,1602697612,1602697732,110
9,1602697734,1602697854,111
10,1602697856,1602697976,112
11,1602697978,1602698098,113
12,1602698100,1602698220,111
13,1602698222,1602698342,112
14,1602698344,1602698464,111
15,1602698466,1602698586,109
16,1602698588,1602698708,113
17,1602698710,1602698830,110
18,1602698831,1602698951,111
19,1602698953,1602699073,110
20,1602699075,1602699195,110
21,1602699197,1602699317,112
22,1602699319,1602699439,110
23,1602699441,1602699561,112
24,1602699563,1602699683,112
25,1602699686,1602699806,112
26,1602699808,1602699928,110
27,1602699930,1602700050,112
28,1602700052,1602700172,111
29,1602700174,1602700294,110
30,1602700296,1602700416,112
1 Iteration Start End Actions Send
2 1 1602696755 1602696875 111
3 2 1602696877 1602696997 111
4 3 1602697000 1602697120 111
5 4 1602697122 1602697242 113
6 5 1602697244 1602697364 109
7 6 1602697366 1602697486 109
8 7 1602697489 1602697609 108
9 8 1602697612 1602697732 110
10 9 1602697734 1602697854 111
11 10 1602697856 1602697976 112
12 11 1602697978 1602698098 113
13 12 1602698100 1602698220 111
14 13 1602698222 1602698342 112
15 14 1602698344 1602698464 111
16 15 1602698466 1602698586 109
17 16 1602698588 1602698708 113
18 17 1602698710 1602698830 110
19 18 1602698831 1602698951 111
20 19 1602698953 1602699073 110
21 20 1602699075 1602699195 110
22 21 1602699197 1602699317 112
23 22 1602699319 1602699439 110
24 23 1602699441 1602699561 112
25 24 1602699563 1602699683 112
26 25 1602699686 1602699806 112
27 26 1602699808 1602699928 110
28 27 1602699930 1602700050 112
29 28 1602700052 1602700172 111
30 29 1602700174 1602700294 110
31 30 1602700296 1602700416 112

View file

@ -0,0 +1,29 @@
Iteration,Start,End,Actions Send
1,1602700418,1602700538,111
4,1602700784,1602700904,112
5,1602700906,1602701026,111
6,1602701028,1602701148,112
7,1602701150,1602701270,112
8,1602701272,1602701392,111
9,1602701394,1602701514,112
10,1602701516,1602701636,110
11,1602701638,1602701758,110
12,1602701760,1602701880,112
13,1602701882,1602702002,110
14,1602702004,1602702124,111
15,1602702126,1602702246,112
16,1602702248,1602702368,111
17,1602702370,1602702490,112
18,1602702492,1602702612,111
19,1602702614,1602702734,110
20,1602702736,1602702856,112
21,1602702858,1602702978,110
22,1602702979,1602703099,110
23,1602703101,1602703221,111
24,1602703223,1602703343,111
25,1602703345,1602703465,112
26,1602703467,1602703587,112
27,1602703589,1602703709,108
28,1602703711,1602703831,111
29,1602703833,1602703953,111
30,1602703955,1602704075,111
1 Iteration Start End Actions Send
2 1 1602700418 1602700538 111
3 4 1602700784 1602700904 112
4 5 1602700906 1602701026 111
5 6 1602701028 1602701148 112
6 7 1602701150 1602701270 112
7 8 1602701272 1602701392 111
8 9 1602701394 1602701514 112
9 10 1602701516 1602701636 110
10 11 1602701638 1602701758 110
11 12 1602701760 1602701880 112
12 13 1602701882 1602702002 110
13 14 1602702004 1602702124 111
14 15 1602702126 1602702246 112
15 16 1602702248 1602702368 111
16 17 1602702370 1602702490 112
17 18 1602702492 1602702612 111
18 19 1602702614 1602702734 110
19 20 1602702736 1602702856 112
20 21 1602702858 1602702978 110
21 22 1602702979 1602703099 110
22 23 1602703101 1602703221 111
23 24 1602703223 1602703343 111
24 25 1602703345 1602703465 112
25 26 1602703467 1602703587 112
26 27 1602703589 1602703709 108
27 28 1602703711 1602703831 111
28 29 1602703833 1602703953 111
29 30 1602703955 1602704075 111

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602704078,1602704198,110
2,1602704200,1602704320,111
3,1602704322,1602704442,108
4,1602704444,1602704564,113
5,1602704566,1602704686,112
6,1602704688,1602704808,111
7,1602704810,1602704930,110
8,1602704932,1602705052,112
9,1602705054,1602705174,112
10,1602705176,1602705296,110
11,1602705298,1602705418,110
12,1602705420,1602705540,112
13,1602705543,1602705663,111
14,1602705665,1602705785,112
15,1602705788,1602705908,111
16,1602705911,1602706031,112
17,1602706033,1602706153,111
18,1602706155,1602706275,111
19,1602706277,1602706397,111
20,1602706399,1602706519,112
21,1602706521,1602706641,112
22,1602706643,1602706763,113
23,1602706765,1602706885,112
24,1602706887,1602707007,112
25,1602707009,1602707129,112
26,1602707131,1602707251,112
27,1602707253,1602707373,112
28,1602707375,1602707495,110
29,1602707497,1602707617,112
30,1602707619,1602707739,111
1 Iteration Start End Actions Send
2 1 1602704078 1602704198 110
3 2 1602704200 1602704320 111
4 3 1602704322 1602704442 108
5 4 1602704444 1602704564 113
6 5 1602704566 1602704686 112
7 6 1602704688 1602704808 111
8 7 1602704810 1602704930 110
9 8 1602704932 1602705052 112
10 9 1602705054 1602705174 112
11 10 1602705176 1602705296 110
12 11 1602705298 1602705418 110
13 12 1602705420 1602705540 112
14 13 1602705543 1602705663 111
15 14 1602705665 1602705785 112
16 15 1602705788 1602705908 111
17 16 1602705911 1602706031 112
18 17 1602706033 1602706153 111
19 18 1602706155 1602706275 111
20 19 1602706277 1602706397 111
21 20 1602706399 1602706519 112
22 21 1602706521 1602706641 112
23 22 1602706643 1602706763 113
24 23 1602706765 1602706885 112
25 24 1602706887 1602707007 112
26 25 1602707009 1602707129 112
27 26 1602707131 1602707251 112
28 27 1602707253 1602707373 112
29 28 1602707375 1602707495 110
30 29 1602707497 1602707617 112
31 30 1602707619 1602707739 111

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602707742,1602707862,12
2,1602707866,1602707986,12
3,1602707988,1602708108,12
4,1602708113,1602708233,12
5,1602708235,1602708355,12
6,1602708358,1602708478,12
7,1602708481,1602708601,12
8,1602708603,1602708723,12
9,1602708726,1602708846,12
10,1602708849,1602708969,12
11,1602708972,1602709092,12
12,1602709095,1602709215,12
13,1602709218,1602709338,12
14,1602709341,1602709461,12
15,1602709464,1602709584,12
16,1602709587,1602709707,12
17,1602709710,1602709830,12
18,1602709832,1602709952,12
19,1602709955,1602710075,12
20,1602710079,1602710199,12
21,1602710202,1602710322,12
22,1602710324,1602710444,12
23,1602710448,1602710568,12
24,1602710571,1602710691,12
25,1602710694,1602710814,12
26,1602710817,1602710937,12
27,1602710940,1602711060,12
28,1602711063,1602711183,12
29,1602711185,1602711305,12
30,1602711308,1602711428,12
1 Iteration Start End Actions Send
2 1 1602707742 1602707862 12
3 2 1602707866 1602707986 12
4 3 1602707988 1602708108 12
5 4 1602708113 1602708233 12
6 5 1602708235 1602708355 12
7 6 1602708358 1602708478 12
8 7 1602708481 1602708601 12
9 8 1602708603 1602708723 12
10 9 1602708726 1602708846 12
11 10 1602708849 1602708969 12
12 11 1602708972 1602709092 12
13 12 1602709095 1602709215 12
14 13 1602709218 1602709338 12
15 14 1602709341 1602709461 12
16 15 1602709464 1602709584 12
17 16 1602709587 1602709707 12
18 17 1602709710 1602709830 12
19 18 1602709832 1602709952 12
20 19 1602709955 1602710075 12
21 20 1602710079 1602710199 12
22 21 1602710202 1602710322 12
23 22 1602710324 1602710444 12
24 23 1602710448 1602710568 12
25 24 1602710571 1602710691 12
26 25 1602710694 1602710814 12
27 26 1602710817 1602710937 12
28 27 1602710940 1602711060 12
29 28 1602711063 1602711183 12
30 29 1602711185 1602711305 12
31 30 1602711308 1602711428 12

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602711431,1602711551,627
2,1602711553,1602711673,650
3,1602711675,1602711795,655
4,1602711796,1602711916,647
5,1602711918,1602712038,626
6,1602712040,1602712160,631
7,1602712162,1602712282,657
8,1602712283,1602712403,645
9,1602712405,1602712525,635
10,1602712527,1602712647,613
11,1602712649,1602712769,636
12,1602712771,1602712891,664
13,1602712893,1602713013,632
14,1602713015,1602713135,637
15,1602713137,1602713257,626
16,1602713259,1602713379,652
17,1602713381,1602713501,646
18,1602713503,1602713623,662
19,1602713625,1602713745,638
20,1602713747,1602713867,650
21,1602713869,1602713989,662
22,1602713990,1602714110,645
23,1602714112,1602714232,652
24,1602714233,1602714353,636
25,1602714355,1602714475,654
26,1602714477,1602714597,633
27,1602714598,1602714718,666
28,1602714720,1602714840,635
29,1602714842,1602714962,653
30,1602714964,1602715084,629
1 Iteration Start End Actions Send
2 1 1602711431 1602711551 627
3 2 1602711553 1602711673 650
4 3 1602711675 1602711795 655
5 4 1602711796 1602711916 647
6 5 1602711918 1602712038 626
7 6 1602712040 1602712160 631
8 7 1602712162 1602712282 657
9 8 1602712283 1602712403 645
10 9 1602712405 1602712525 635
11 10 1602712527 1602712647 613
12 11 1602712649 1602712769 636
13 12 1602712771 1602712891 664
14 13 1602712893 1602713013 632
15 14 1602713015 1602713135 637
16 15 1602713137 1602713257 626
17 16 1602713259 1602713379 652
18 17 1602713381 1602713501 646
19 18 1602713503 1602713623 662
20 19 1602713625 1602713745 638
21 20 1602713747 1602713867 650
22 21 1602713869 1602713989 662
23 22 1602713990 1602714110 645
24 23 1602714112 1602714232 652
25 24 1602714233 1602714353 636
26 25 1602714355 1602714475 654
27 26 1602714477 1602714597 633
28 27 1602714598 1602714718 666
29 28 1602714720 1602714840 635
30 29 1602714842 1602714962 653
31 30 1602714964 1602715084 629

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602715085,1602715205,118
2,1602715207,1602715327,118
3,1602715329,1602715449,118
4,1602715450,1602715570,118
5,1602715572,1602715692,118
6,1602715694,1602715814,118
7,1602715815,1602715935,118
8,1602715937,1602716057,118
9,1602716058,1602716178,118
10,1602716180,1602716300,118
11,1602716302,1602716422,118
12,1602716423,1602716543,118
13,1602716545,1602716665,118
14,1602716667,1602716787,118
15,1602716788,1602716908,118
16,1602716910,1602717030,118
17,1602717031,1602717151,117
18,1602717152,1602717272,118
19,1602717274,1602717394,118
20,1602717395,1602717515,118
21,1602717517,1602717637,118
22,1602717639,1602717759,118
23,1602717760,1602717880,118
24,1602717882,1602718002,118
25,1602718004,1602718124,118
26,1602718125,1602718245,118
27,1602718247,1602718367,118
28,1602718369,1602718489,118
29,1602718490,1602718610,118
30,1602718612,1602718732,118
1 Iteration Start End Actions Send
2 1 1602715085 1602715205 118
3 2 1602715207 1602715327 118
4 3 1602715329 1602715449 118
5 4 1602715450 1602715570 118
6 5 1602715572 1602715692 118
7 6 1602715694 1602715814 118
8 7 1602715815 1602715935 118
9 8 1602715937 1602716057 118
10 9 1602716058 1602716178 118
11 10 1602716180 1602716300 118
12 11 1602716302 1602716422 118
13 12 1602716423 1602716543 118
14 13 1602716545 1602716665 118
15 14 1602716667 1602716787 118
16 15 1602716788 1602716908 118
17 16 1602716910 1602717030 118
18 17 1602717031 1602717151 117
19 18 1602717152 1602717272 118
20 19 1602717274 1602717394 118
21 20 1602717395 1602717515 118
22 21 1602717517 1602717637 118
23 22 1602717639 1602717759 118
24 23 1602717760 1602717880 118
25 24 1602717882 1602718002 118
26 25 1602718004 1602718124 118
27 26 1602718125 1602718245 118
28 27 1602718247 1602718367 118
29 28 1602718369 1602718489 118
30 29 1602718490 1602718610 118
31 30 1602718612 1602718732 118

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602718734,1602718854,109
2,1602718856,1602718976,112
3,1602718978,1602719098,112
4,1602719101,1602719221,110
5,1602719223,1602719343,110
6,1602719345,1602719465,112
7,1602719468,1602719588,112
8,1602719591,1602719711,111
9,1602719713,1602719833,111
10,1602719836,1602719956,111
11,1602719958,1602720078,112
12,1602720080,1602720200,112
13,1602720202,1602720322,112
14,1602720325,1602720445,111
15,1602720448,1602720568,112
16,1602720570,1602720690,111
17,1602720693,1602720813,110
18,1602720816,1602720936,110
19,1602720939,1602721059,112
20,1602721061,1602721181,112
21,1602721183,1602721303,110
22,1602721305,1602721425,112
23,1602721427,1602721547,111
24,1602721550,1602721670,112
25,1602721673,1602721793,111
26,1602721796,1602721916,111
27,1602721919,1602722039,112
28,1602722042,1602722162,109
29,1602722164,1602722284,110
30,1602722287,1602722407,112
1 Iteration Start End Actions Send
2 1 1602718734 1602718854 109
3 2 1602718856 1602718976 112
4 3 1602718978 1602719098 112
5 4 1602719101 1602719221 110
6 5 1602719223 1602719343 110
7 6 1602719345 1602719465 112
8 7 1602719468 1602719588 112
9 8 1602719591 1602719711 111
10 9 1602719713 1602719833 111
11 10 1602719836 1602719956 111
12 11 1602719958 1602720078 112
13 12 1602720080 1602720200 112
14 13 1602720202 1602720322 112
15 14 1602720325 1602720445 111
16 15 1602720448 1602720568 112
17 16 1602720570 1602720690 111
18 17 1602720693 1602720813 110
19 18 1602720816 1602720936 110
20 19 1602720939 1602721059 112
21 20 1602721061 1602721181 112
22 21 1602721183 1602721303 110
23 22 1602721305 1602721425 112
24 23 1602721427 1602721547 111
25 24 1602721550 1602721670 112
26 25 1602721673 1602721793 111
27 26 1602721796 1602721916 111
28 27 1602721919 1602722039 112
29 28 1602722042 1602722162 109
30 29 1602722164 1602722284 110
31 30 1602722287 1602722407 112

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602722409,1602722529,113
2,1602722531,1602722651,112
3,1602722653,1602722773,113
4,1602722775,1602722895,112
5,1602722897,1602723017,113
6,1602723019,1602723139,112
7,1602723141,1602723261,113
8,1602723263,1602723383,112
9,1602723385,1602723505,113
10,1602723507,1602723627,113
11,1602723629,1602723749,112
12,1602723751,1602723871,112
13,1602723873,1602723993,113
14,1602723995,1602724115,113
15,1602724117,1602724237,111
16,1602724239,1602724359,112
17,1602724361,1602724481,113
18,1602724483,1602724603,113
19,1602724605,1602724725,113
20,1602724727,1602724847,113
21,1602724849,1602724969,112
22,1602724971,1602725091,111
23,1602725093,1602725213,113
24,1602725215,1602725335,112
25,1602725337,1602725457,111
26,1602725459,1602725579,112
27,1602725582,1602725702,112
28,1602725704,1602725824,110
29,1602725826,1602725946,112
30,1602725948,1602726068,113
1 Iteration Start End Actions Send
2 1 1602722409 1602722529 113
3 2 1602722531 1602722651 112
4 3 1602722653 1602722773 113
5 4 1602722775 1602722895 112
6 5 1602722897 1602723017 113
7 6 1602723019 1602723139 112
8 7 1602723141 1602723261 113
9 8 1602723263 1602723383 112
10 9 1602723385 1602723505 113
11 10 1602723507 1602723627 113
12 11 1602723629 1602723749 112
13 12 1602723751 1602723871 112
14 13 1602723873 1602723993 113
15 14 1602723995 1602724115 113
16 15 1602724117 1602724237 111
17 16 1602724239 1602724359 112
18 17 1602724361 1602724481 113
19 18 1602724483 1602724603 113
20 19 1602724605 1602724725 113
21 20 1602724727 1602724847 113
22 21 1602724849 1602724969 112
23 22 1602724971 1602725091 111
24 23 1602725093 1602725213 113
25 24 1602725215 1602725335 112
26 25 1602725337 1602725457 111
27 26 1602725459 1602725579 112
28 27 1602725582 1602725702 112
29 28 1602725704 1602725824 110
30 29 1602725826 1602725946 112
31 30 1602725948 1602726068 113

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602726070,1602726190,93
2,1602726192,1602726312,84
3,1602726314,1602726434,89
4,1602726437,1602726557,96
5,1602726559,1602726679,88
6,1602726681,1602726801,91
7,1602726804,1602726924,82
8,1602726927,1602727047,89
9,1602727049,1602727169,90
10,1602727172,1602727292,90
11,1602727294,1602727414,91
12,1602727416,1602727536,87
13,1602727539,1602727659,90
14,1602727661,1602727781,87
15,1602727783,1602727903,77
16,1602727905,1602728025,86
17,1602728028,1602728148,89
18,1602728151,1602728271,90
19,1602728274,1602728394,94
20,1602728396,1602728516,89
21,1602728518,1602728638,94
22,1602728642,1602728762,83
23,1602728763,1602728883,84
24,1602728885,1602729005,91
25,1602729007,1602729127,83
26,1602729129,1602729249,94
27,1602729251,1602729371,87
28,1602729373,1602729493,82
29,1602729495,1602729615,86
30,1602729617,1602729737,90
1 Iteration Start End Actions Send
2 1 1602726070 1602726190 93
3 2 1602726192 1602726312 84
4 3 1602726314 1602726434 89
5 4 1602726437 1602726557 96
6 5 1602726559 1602726679 88
7 6 1602726681 1602726801 91
8 7 1602726804 1602726924 82
9 8 1602726927 1602727047 89
10 9 1602727049 1602727169 90
11 10 1602727172 1602727292 90
12 11 1602727294 1602727414 91
13 12 1602727416 1602727536 87
14 13 1602727539 1602727659 90
15 14 1602727661 1602727781 87
16 15 1602727783 1602727903 77
17 16 1602727905 1602728025 86
18 17 1602728028 1602728148 89
19 18 1602728151 1602728271 90
20 19 1602728274 1602728394 94
21 20 1602728396 1602728516 89
22 21 1602728518 1602728638 94
23 22 1602728642 1602728762 83
24 23 1602728763 1602728883 84
25 24 1602728885 1602729005 91
26 25 1602729007 1602729127 83
27 26 1602729129 1602729249 94
28 27 1602729251 1602729371 87
29 28 1602729373 1602729493 82
30 29 1602729495 1602729615 86
31 30 1602729617 1602729737 90

View file

@ -0,0 +1,31 @@
Iteration,Start,End,Actions Send
1,1602729740,1602729860,112
2,1602729862,1602729982,110
3,1602729984,1602730104,111
4,1602730106,1602730226,110
5,1602730228,1602730348,112
6,1602730350,1602730470,112
7,1602730472,1602730592,110
8,1602730594,1602730714,112
9,1602730716,1602730836,110
10,1602730839,1602730959,113
11,1602730961,1602731081,112
12,1602731083,1602731203,110
13,1602731205,1602731325,111
14,1602731327,1602731447,111
15,1602731449,1602731569,113
16,1602731571,1602731691,112
17,1602731693,1602731813,111
18,1602731815,1602731935,110
19,1602731937,1602732057,112
20,1602732060,1602732180,113
21,1602732183,1602732303,111
22,1602732305,1602732425,111
23,1602732427,1602732547,110
24,1602732549,1602732669,113
25,1602732671,1602732791,112
26,1602732793,1602732913,111
27,1602732915,1602733035,111
28,1602733037,1602733157,111
29,1602733159,1602733279,112
30,1602733281,1602733401,111
1 Iteration Start End Actions Send
2 1 1602729740 1602729860 112
3 2 1602729862 1602729982 110
4 3 1602729984 1602730104 111
5 4 1602730106 1602730226 110
6 5 1602730228 1602730348 112
7 6 1602730350 1602730470 112
8 7 1602730472 1602730592 110
9 8 1602730594 1602730714 112
10 9 1602730716 1602730836 110
11 10 1602730839 1602730959 113
12 11 1602730961 1602731081 112
13 12 1602731083 1602731203 110
14 13 1602731205 1602731325 111
15 14 1602731327 1602731447 111
16 15 1602731449 1602731569 113
17 16 1602731571 1602731691 112
18 17 1602731693 1602731813 111
19 18 1602731815 1602731935 110
20 19 1602731937 1602732057 112
21 20 1602732060 1602732180 113
22 21 1602732183 1602732303 111
23 22 1602732305 1602732425 111
24 23 1602732427 1602732547 110
25 24 1602732549 1602732669 113
26 25 1602732671 1602732791 112
27 26 1602732793 1602732913 111
28 27 1602732915 1602733035 111
29 28 1602733037 1602733157 111
30 29 1602733159 1602733279 112
31 30 1602733281 1602733401 111

View file

@ -0,0 +1,30 @@
Iteration,Start,End,Actions Send
1,1602733403,1602733523,113
2,1602733525,1602733645,114
3,1602733647,1602733767,113
4,1602733769,1602733889,113
5,1602733891,1602734011,112
6,1602734013,1602734133,112
7,1602734135,1602734255,113
8,1602734257,1602734377,113
9,1602734379,1602734499,112
10,1602734501,1602734621,113
11,1602734623,1602734743,113
12,1602734745,1602734865,112
13,1602734867,1602734987,112
14,1602734989,1602735109,113
15,1602735111,1602735231,114
16,1602735233,1602735353,114
17,1602735355,1602735475,114
18,1602735477,1602735597,112
19,1602735599,1602735719,113
20,1602735721,1602735841,112
21,1602735844,1602735964,115
22,1602735966,1602736086,112
23,1602736088,1602736208,112
24,1602736210,1602736330,113
25,1602736332,1602736452,111
26,1602736454,1602736574,114
27,1602736576,1602736696,114
28,1602736698,1602736818,113
29,1602736820,1602736940,113
1 Iteration Start End Actions Send
2 1 1602733403 1602733523 113
3 2 1602733525 1602733645 114
4 3 1602733647 1602733767 113
5 4 1602733769 1602733889 113
6 5 1602733891 1602734011 112
7 6 1602734013 1602734133 112
8 7 1602734135 1602734255 113
9 8 1602734257 1602734377 113
10 9 1602734379 1602734499 112
11 10 1602734501 1602734621 113
12 11 1602734623 1602734743 113
13 12 1602734745 1602734865 112
14 13 1602734867 1602734987 112
15 14 1602734989 1602735109 113
16 15 1602735111 1602735231 114
17 16 1602735233 1602735353 114
18 17 1602735355 1602735475 114
19 18 1602735477 1602735597 112
20 19 1602735599 1602735719 113
21 20 1602735721 1602735841 112
22 21 1602735844 1602735964 115
23 22 1602735966 1602736086 112
24 23 1602736088 1602736208 112
25 24 1602736210 1602736330 113
26 25 1602736332 1602736452 111
27 26 1602736454 1602736574 114
28 27 1602736576 1602736696 114
29 28 1602736698 1602736818 113
30 29 1602736820 1602736940 113

View file

@ -0,0 +1,30 @@
Iteration,Start,End,Actions Send
2,1602737186,1602737306,118
3,1602737308,1602737428,118
4,1602737430,1602737550,118
5,1602737554,1602737674,118
6,1602737676,1602737796,118
7,1602737798,1602737918,118
8,1602737920,1602738040,117
9,1602738042,1602738162,118
10,1602738164,1602738284,118
11,1602738286,1602738406,118
12,1602738409,1602738529,118
13,1602738531,1602738651,118
14,1602738653,1602738773,118
15,1602738775,1602738895,118
16,1602738897,1602739017,117
17,1602739019,1602739139,118
18,1602739141,1602739261,118
19,1602739263,1602739383,118
20,1602739385,1602739505,118
21,1602739507,1602739627,117
22,1602739629,1602739749,118
23,1602739751,1602739871,118
24,1602739873,1602739993,118
25,1602739995,1602740115,118
26,1602740117,1602740237,117
27,1602740239,1602740359,118
28,1602740361,1602740481,118
29,1602740483,1602740603,118
30,1602740605,1602740725,118
1 Iteration Start End Actions Send
2 2 1602737186 1602737306 118
3 3 1602737308 1602737428 118
4 4 1602737430 1602737550 118
5 5 1602737554 1602737674 118
6 6 1602737676 1602737796 118
7 7 1602737798 1602737918 118
8 8 1602737920 1602738040 117
9 9 1602738042 1602738162 118
10 10 1602738164 1602738284 118
11 11 1602738286 1602738406 118
12 12 1602738409 1602738529 118
13 13 1602738531 1602738651 118
14 14 1602738653 1602738773 118
15 15 1602738775 1602738895 118
16 16 1602738897 1602739017 117
17 17 1602739019 1602739139 118
18 18 1602739141 1602739261 118
19 19 1602739263 1602739383 118
20 20 1602739385 1602739505 118
21 21 1602739507 1602739627 117
22 22 1602739629 1602739749 118
23 23 1602739751 1602739871 118
24 24 1602739873 1602739993 118
25 25 1602739995 1602740115 118
26 26 1602740117 1602740237 117
27 27 1602740239 1602740359 118
28 28 1602740361 1602740481 118
29 29 1602740483 1602740603 118
30 30 1602740605 1602740725 118

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

File diff suppressed because it is too large Load diff

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39
Spikes Normal file
View file

@ -0,0 +1,39 @@
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