dissertation-3-evaluation/evaluation.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Project Evaluation\n",
"\n",
"This file interfaces with a Proxmox server to automatically generate VM structures and graphs for testing the\n",
"success criteria of my project."
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Setup\n",
"This section sets up the required variables for the Proxmox server."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import ipaddress\n",
"import threading\n",
"\n",
"import runners\n",
"from structure import Bridge, Interface, IpMethod\n",
"from structure import RemotePortal, LocalPortal, SpeedTestServer\n",
"\n",
"%load_ext dotenv\n",
"%dotenv"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Testing\n",
"This section gathers the required data from the different structures for later graphs."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"runner = runners.ProxmoxRunner(\n",
" host=os.getenv('PROXMOX_HOST'),\n",
" node=os.getenv('PROXMOX_NODE'),\n",
" user=os.getenv('PROXMOX_USER'),\n",
" token_name=os.getenv('PROXMOX_TOKEN_NAME'),\n",
" token_value=os.getenv('PROXMOX_TOKEN_VALUE'),\n",
"\n",
" template_id=9000,\n",
" initial_vm_id=21002,\n",
"\n",
" internet_bridge=os.getenv('INTERNET_BRIDGE'),\n",
"\n",
" management_bridge=os.getenv('MANAGEMENT_BRIDGE'),\n",
" management_initial_ip=ipaddress.ip_address(os.getenv('MANAGEMENT_INITIAL_IP')),\n",
")\n",
"\n",
"setup_params = {\n",
" 'access_key': os.getenv('S3_ACCESS_KEY'),\n",
" 'secret_key': os.getenv('S3_SECRET_KEY'),\n",
" 'branch': os.getenv('TARGET_BRANCH'),\n",
"}\n",
"\n",
"directionInbound = {}\n",
"directionOutbound = {}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"st1 = SpeedTestServer()\n",
"st2 = SpeedTestServer()\n",
"\n",
"top_level_bridge = Bridge(\n",
" st1.get_interfaces()[0],\n",
" st2.get_interfaces()[0],\n",
")\n",
"\n",
"try:\n",
" runner.build(top_level_bridge)\n",
"\n",
" st2.get_interfaces()[0].set_rate(1)\n",
" st2.server()\n",
" directionInbound['One1MBNotProxied'] = st1.client(st2.get_interfaces()[0].get_address())\n",
" st1.server()\n",
" directionOutbound['One1MBNotProxied'] = st2.client(st1.get_interfaces()[0].get_address())\n",
"\n",
" st2.get_interfaces()[0].set_rate(1)\n",
" st2.server()\n",
" directionInbound['One2MBNotProxied'] = st1.client(st2.get_interfaces()[0].get_address())\n",
" st1.server()\n",
" directionOutbound['One2MBNotProxied'] = st2.client(st1.get_interfaces()[0].get_address())\n",
"finally:\n",
" runner.teardown()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"rp = RemotePortal([Interface(IpMethod.Auto4)], setup_params=setup_params)\n",
"\n",
"st = SpeedTestServer()\n",
"cl = SpeedTestServer(clone_interface=rp.get_interfaces()[0])\n",
"\n",
"lp = LocalPortal([\n",
" Interface(IpMethod.Auto4),\n",
" Interface(IpMethod.Auto4),\n",
"], cl, setup_params=setup_params)\n",
"\n",
"rp.set_local_portal(lp)\n",
"lp.set_remote_portal(rp)\n",
"\n",
"top_level_bridge = Bridge(\n",
" st.get_interfaces()[0],\n",
" rp.get_interfaces()[0],\n",
" *lp.get_interfaces()[0:2],\n",
")\n",
"\n",
"try:\n",
" runner.build(top_level_bridge)\n",
"\n",
" lp.get_interfaces()[0].set_rate(1)\n",
" lp.get_interfaces()[1].set_rate(1)\n",
"\n",
" cl.server()\n",
" directionInbound['Two1MBProxied'] = st.client(cl.get_interfaces()[0].get_address())\n",
" st.server()\n",
" directionOutbound['Two1MBProxied'] = cl.client(st.get_interfaces()[0].get_address())\n",
"\n",
" lp.get_interfaces()[0].set_rate(2)\n",
" lp.get_interfaces()[1].set_rate(2)\n",
"\n",
" cl.server()\n",
" directionInbound['Two2MBProxied'] = st.client(cl.get_interfaces()[0].get_address())\n",
" st.server()\n",
" directionOutbound['Two2MBProxied'] = cl.client(st.get_interfaces()[0].get_address())\n",
"\n",
" lp.get_interfaces()[0].set_rate(1)\n",
" lp.get_interfaces()[1].set_rate(2)\n",
"\n",
" cl.server()\n",
" directionInbound['One1MBOne2MBProxied'] = st.client(cl.get_interfaces()[0].get_address())\n",
" st.server()\n",
" directionOutbound['One1MBOne2MBProxied'] = cl.client(st.get_interfaces()[0].get_address())\n",
"\n",
" lp.get_interfaces()[0].set_rate(2)\n",
" lp.get_interfaces()[1].set_rate(2)\n",
"\n",
" cl.server()\n",
" threading.Timer(5+15, lambda: lp.get_interfaces()[1].set_rate(1)).start()\n",
" threading.Timer(5+30, lambda: lp.get_interfaces()[1].set_rate(2)).start()\n",
" directionInbound['One2MBOneYMBProxiedSlow15Return30']\\\n",
" = st.client(cl.get_interfaces()[0].get_address(), time=60)\n",
"\n",
" st.server()\n",
" threading.Timer(5+15, lambda: lp.get_interfaces()[1].set_rate(1)).start()\n",
" threading.Timer(5+30, lambda: lp.get_interfaces()[1].set_rate(2)).start()\n",
" directionOutbound['One2MBOneYMBProxiedSlow15Return30'] =\\\n",
" cl.client(st.get_interfaces()[0].get_address(), time=60)\n",
"finally:\n",
" runner.teardown()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"rp = RemotePortal([Interface(IpMethod.Auto4)], setup_params=setup_params)\n",
"\n",
"st = SpeedTestServer()\n",
"cl = SpeedTestServer(clone_interface=rp.get_interfaces()[0])\n",
"\n",
"lp = LocalPortal([\n",
" Interface(IpMethod.Auto4),\n",
" Interface(IpMethod.Auto4),\n",
" Interface(IpMethod.Auto4),\n",
"], cl, setup_params=setup_params)\n",
"\n",
"rp.set_local_portal(lp)\n",
"lp.set_remote_portal(rp)\n",
"\n",
"top_level_bridge = Bridge(\n",
" st.get_interfaces()[0],\n",
" rp.get_interfaces()[0],\n",
" *lp.get_interfaces()[0:3],\n",
")\n",
"\n",
"try:\n",
" runner.build(top_level_bridge)\n",
"\n",
" lp.get_interfaces()[0].set_rate(1)\n",
" lp.get_interfaces()[1].set_rate(1)\n",
" lp.get_interfaces()[2].set_rate(1)\n",
"\n",
" cl.server()\n",
" directionInbound['Three1MBProxied'] = st.client(cl.get_interfaces()[0].get_address())\n",
" st.server()\n",
" directionOutbound['Three1MBProxied'] = cl.client(st.get_interfaces()[0].get_address())\n",
"finally:\n",
" runner.teardown()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"rp = RemotePortal([Interface(IpMethod.Auto4)], setup_params=setup_params)\n",
"\n",
"st = SpeedTestServer()\n",
"cl = SpeedTestServer(clone_interface=rp.get_interfaces()[0])\n",
"\n",
"lp = LocalPortal([\n",
" Interface(IpMethod.Auto4),\n",
" Interface(IpMethod.Auto4),\n",
" Interface(IpMethod.Auto4),\n",
" Interface(IpMethod.Auto4),\n",
"], cl, setup_params=setup_params)\n",
"\n",
"rp.set_local_portal(lp)\n",
"lp.set_remote_portal(rp)\n",
"\n",
"top_level_bridge = Bridge(\n",
" st.get_interfaces()[0],\n",
" rp.get_interfaces()[0],\n",
" *lp.get_interfaces()[0:4],\n",
")\n",
"\n",
"try:\n",
" runner.build(top_level_bridge)\n",
"\n",
" lp.get_interfaces()[0].set_rate(1)\n",
" lp.get_interfaces()[1].set_rate(1)\n",
" lp.get_interfaces()[2].set_rate(1)\n",
" lp.get_interfaces()[3].set_rate(1)\n",
"\n",
" cl.server()\n",
" directionInbound['Four1MBProxied'] = st.client(cl.get_interfaces()[0].get_address())\n",
" st.server()\n",
" directionOutbound['Four1MBProxied'] = cl.client(st.get_interfaces()[0].get_address())\n",
"finally:\n",
" runner.teardown()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Graphs\n",
"This section produces graphs from the collected data."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"from itertools import cycle\n",
"import matplotlib.pyplot as plt\n",
"\n",
"def plot_iperf_results(data, title, events=None, filename=None, start_at_zero=True):\n",
" cycol = cycle('brgy')\n",
"\n",
" fig = plt.figure()\n",
" axes = fig.add_axes([0,0,1,1])\n",
"\n",
" axes.set_title(title, pad=20.0 if events is not None else None)\n",
" axes.set_xlabel('Time (s)')\n",
" axes.set_ylabel('Throughput (Mbps)')\n",
"\n",
" for k, v in data.items():\n",
" intervals = [x['sum'] for x in v['intervals'] if not x['sum']['omitted']]\n",
"\n",
" x_axis = [((x['start'] + x['end'])/2) for x in intervals]\n",
" y_axis = [x['bits_per_second']/1e6 for x in intervals]\n",
" axes.plot(x_axis, y_axis, next(cycol), label=k)\n",
"\n",
" legend = axes.legend()\n",
"\n",
" if start_at_zero:\n",
" axes.set_ylim(bottom=0)\n",
" axes.set_xlim(left=0)\n",
"\n",
" if events is not None:\n",
" for k, v in events.items():\n",
" axes.axvline(k, linestyle='--', color='grey')\n",
" axes.annotate(v, (k, 1.02), xycoords=axes.get_xaxis_transform(), ha='center')\n",
"\n",
" if filename is not None:\n",
" fig.savefig(filename, bbox_extra_artists=(legend,), bbox_inches='tight', pad_inches=0.3)"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"### Equal Connection Scaling\n",
"This section shows equal connections scaling at various speeds and number of connections."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"plot_iperf_results(\n",
" {\n",
" '4x1MBps Connections (proxied)': directionInbound['Four1MBProxied'],\n",
" '3x1MBps Connections (proxied)': directionInbound['Three1MBProxied'],\n",
" '2x1MBps Connections (proxied)': directionInbound['Two1MBProxied'],\n",
" },\n",
" 'More Equal Connections',\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"pycharm": {
"name": "#%%\n"
}
},
"outputs": [],
"source": [
"plot_iperf_results(\n",
" {\n",
" '1x2MBps + 1xYMBps Connections (proxied)': directionInbound['One2MBOneYMBProxiedSlow15Return30'],\n",
" },\n",
" 'Network Slow',\n",
" events={0: 'Y=2', 15: 'Y=1', 30: 'Y=2'}\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"pycharm": {
"name": "#%% md\n"
}
},
"source": [
"## Criteria\n",
"This section automatically verifies some criteria with assertions."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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}