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186 lines
58 KiB
186 lines
58 KiB
3 months ago
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import matplotlib as mpl\n",
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"import matplotlib.colors as mcolors\n",
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"import numpy as np\n",
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"import sys\n",
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"from matplotlib.ticker import MultipleLocator, FormatStrFormatter\n",
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"import matplotlib.ticker as ticker\n",
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"import os\n",
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"from collections import defaultdict\n",
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"import matplotlib.pyplot as plt\n",
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"import re\n",
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"import argparse\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"12983\n",
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"12983\n",
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"12983\n",
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"12983\n"
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]
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import json\n",
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"f = open('/home/weihao/sledge/sledge_tree/runtime/tests/request_time.txt', 'r')\n",
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"js = f.read()\n",
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"f.close()\n",
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"times = json.loads(js)\n",
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"keys = list(times.keys())\n",
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"int_keys = list(map(int, keys))\n",
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"x=sorted(int_keys)\n",
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"#print(x)\n",
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"print(len(x))\n",
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"y_list=list(times.values())\n",
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"\n",
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"y_queuing=[]\n",
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"y_runnable=[]\n",
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"y_blocking=[]\n",
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"\n",
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"for k in range(len(x)):\n",
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" y_queuing.append(times[str(x[k])][0])\n",
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" y_runnable.append(times[str(x[k])][1])\n",
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" y_blocking.append(times[str(x[k])][2])\n",
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"print(len(y_queuing))\n",
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"print(len(y_runnable))\n",
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"print(len(y_blocking))\n",
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"#print(y_queuing)\n",
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"legend_list=[\"Global Queuing\", \"Local Queuing\", \"Blocking\"]\n",
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"#legend_list=[\"Local Queuing\", \"Blocking\"]\n",
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"\n",
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"#legend_list=[\"Global Queuing\", \"Blocking\"]\n",
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"plt.scatter(np.array(x), y_queuing,c='g')\n",
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"#plt.scatter(np.array(x), y_runnable, c='r')\n",
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"#plt.scatter(np.array(x), y_blocking,c ='b')\n",
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"\n",
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"#plt.ylim((0, 90000)) \n",
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"#plt.ylim((0,400000))\n",
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"plt.xlabel(\"Request id\")\n",
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"plt.ylabel(\"Duration(us)\")\n",
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"\n",
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"plt.legend(legend_list)\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"12983\n"
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]
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},
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{
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"data": {
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"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 640x480 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"name": "stdout",
|
||
|
|
"output_type": "stream",
|
||
|
|
"text": [
|
||
|
|
"31416 32 [32, 10, 23382, 31416, 0]\n"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"import json\n",
|
||
|
|
"f = open('/home/weihao/sledge/sledge_tree/runtime/tests/request_time.txt', 'r')\n",
|
||
|
|
"js = f.read()\n",
|
||
|
|
"f.close()\n",
|
||
|
|
"times = json.loads(js)\n",
|
||
|
|
"keys = list(times.keys())\n",
|
||
|
|
"int_keys = list(map(int, keys))\n",
|
||
|
|
"x=sorted(int_keys)\n",
|
||
|
|
"#print(x)\n",
|
||
|
|
"print(len(x))\n",
|
||
|
|
"y_list=list(times.values())\n",
|
||
|
|
"\n",
|
||
|
|
"#deadline = 73076\n",
|
||
|
|
"deadline = 472592\n",
|
||
|
|
"y_latency=[]\n",
|
||
|
|
"yqueuing=[]\n",
|
||
|
|
"\n",
|
||
|
|
"for k in range(len(x)):\n",
|
||
|
|
" y_latency.append(times[str(x[k])][3])\n",
|
||
|
|
" yqueuing.append(times[str(x[k])][0])\n",
|
||
|
|
"\n",
|
||
|
|
"#print(y_latency)\n",
|
||
|
|
"plt.scatter(np.array(x), y_latency,c='b')\n",
|
||
|
|
"#plt.scatter(np.array(x), yqueuing,c='g')\n",
|
||
|
|
"plt.axhline(y=deadline,color='r')\n",
|
||
|
|
"plt.xlabel(\"Request id\")\n",
|
||
|
|
"plt.ylabel(\"Total Latency(us)\")\n",
|
||
|
|
"\n",
|
||
|
|
"plt.show()\n",
|
||
|
|
"\n",
|
||
|
|
"print(y_latency[1289], yqueuing[1289], times[str(x[1289])])"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "haiwan_env",
|
||
|
|
"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": "3.12.3"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 2
|
||
|
|
}
|