Mininet-wifi-Jupyter Notebook
Muhammad
Dear Ramon,
Our lab members are considering the Integration between Mininet and Jupyter Notebook to come up with a modern web-based environment so as to be used for educational purposes. At this juncture, the progress is shown in the following YouTube video: https://www.youtube.com/watch?v=E_WzgIDSJ6k&feature=youtu.be
One of the obstacles in this path could be the great features xterm is offering for mininet and mininet-wifi. I am wondering if you have any possible solution for importing net.plotGraph you used in mininet-wifi, and Xterm into Jupyter Notebook?
Note 1: It may sound off-topic, If so, kindly ignore this post.
Note 2: We also found: https://github.com/adamj9431/notebook_xterm
Sincerely,
Muhammad
Ramon Fontes
Christian Esteve Rothenberg
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Muhammad
The real obstacle is that Jupyter Notebook does not support running GUI directly inside(as far as we know), which it means there is no chance to run the command like:
mininet>xterm h1
or see the GUI plotGraph indicating the real positions of node in the case of mininet-wifi. We have searched for feasible solutions, but what we have come up with so far is:
export your current session with x11vnc and then view it with a web based VNC viewer.
Note: Providing the undergraduate students with GUI experience, specifically plotGraph is very important to us.
Sincerely,
Mohammad
Ramon Fontes
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Muhammad
Assume we are lunching mininet-wifi web server on a linux machine running jupyter notebook service process in background. In this case, students normally just open their browser and enter the web page URL given to them. There is no ssh to mininet-wifi server! We want that the xterm and net.plotGraph() to be opened inside the browser, so every student, simply by opening the web page, should be able to enjoy the GUI. I reckon, you witness the xterm and net.PlotGraph() as you were running the whole process inside your machine, but what we need to offer to student is only a web-page with codes and instructions to be executed inside web page.
On Tuesday, March 3, 2020 at 1:20:09 PM UTC+1, Ramon Fontes wrote:
Hello Muhammad,
I successfully ran both xterm and net.ploGraph() two or three months ago. If I remember correctly, I didn't have to do anything but install jupyter, start it with the jupyter notebook command, and run Mininet-WiFi through the web page at port 8888. Are you doing anything other than that?Regards,Ramon
On Tue, Mar 3, 2020 at 9:09 AM Muhammad <muhamm...@gmail.com> wrote:
Dear Ramon and Christian,--
The real obstacle is that Jupyter Notebook does not support running GUI directly inside(as far as we know), which it means there is no chance to run the command like:
mininet>xterm h1
or see the GUI plotGraph indicating the real positions of node in the case of mininet-wifi. We have searched for feasible solutions, but what we have come up with so far is:
export your current session with x11vnc and then view it with a web based VNC viewer.Have you ever tried this before? Do you think this is the right path to progress?
Note: Providing the undergraduate students with GUI experience, specifically plotGraph is very important to us.
Sincerely,
Mohammad
On Monday, March 2, 2020 at 7:35:18 PM UTC+1, Ramon Fontes wrote:Hello Muhammad,It's good to know someone is working on Mininet(-WiFi) and Jupyter Notebook for educational purposes. I have no doubt that it will be of great value to many students.Could you provide more details about the problem with net.plotGraph and xterm?
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Muhammad
May I ask about your method to install mininet-wifi(mininet-IoT) on Jupyter Notebook. Did you solve the problem of giving root access to cell in Jupyter. In fact, mininet should be executed as sudo to be available.
On Wednesday, March 4, 2020 at 10:46:53 PM UTC+1, Ramon Fontes wrote:
Ok, I got your point. Regarding plotGraph() I need to check if we can use methods such as those presented at https://medium.com/@1522933668924/using-matplotlib-in-jupyter-notebooks-comparing-methods-and-some-tips-python-c38e85b40ba1. Did you try %matplotlib notebook?
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Ramon Fontes
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Muhammad
!sudo mn
in Jupyter, the cell will be executed and there will be no mininet_bash to enter the next commands. Kindly consider the attached photo:
Dear Muhammad,I really don't know why do you need to follow those steps. You'll able to run Mininet-WiFi (as well as Mininet) as long as you run jupyter with sudo.
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Ramon Fontes
Ramon Fontes
Muhammad
Muhammad
Ramon Fontes
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Muhammad
Mohammad
Muhammad
Ramon Fontes
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Muhammad
Dear Ramon,
There is a next update regarding executing mininet-wifi examples on Jupyter-Notebook considering the following milestones:
· 1. SSH Tunneling
· 2. Show GUI on Remote Display
· 3. IPython & python3
· 4. Jupyter Server: Ubuntu 18.04 / Client: Windows 10
Short Demo: https://www.youtube.com/watch?v=xTprIa0SFXs
At this juncture, everything seems to be working properly. I
am just cogitating about the possibility of offering a mininet-wifi experiments course using JupyterHub
in which students only use a web browser to execute the experiments. One
obstacle is the running of the net.PlotGraph in a new window. If there exists a
possibility to update the embedded PlotGraph in cell(%matplotlib inline), then there
is no need to open a new GUI-based figure that could be problematic when
deploying everything on web browser. I wrote a thread to update the inline
figure every 1 second, but it was an unsuccessful attempt. Please note that
when we use the inline plotting behavior of matplotlib, then one frame of
PlotGraph is drawn, and the rest of the code is executed, which offers a hint
that there may exist a way to update the PlotGraph inside the output cell. I also post the issue to the Jupyter Group.
Update: %matplotlib notebook also outputs a blank white page.
Sincerely,
Muhammad
Ramon Fontes
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Muhammad
Ramon Fontes
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Muhammad
5. %matplotlib notebook creates no error. However, the interactive plotting environment within the cell is white for some strange reason. Here, we need investigation!
By accomplishing the correct displaying of %matplotlib notebook, we would be able to use mininet-wifi which is scalable through JupyterHub, and only web browser on student side is needed!
Kindly let me know if you have some update.
Note: I attach some simple example scenario, with my latest run in Jupyter notebook.
Code:
-------------------------------------------------------------------
cell[1]: %matplotlib notebook
cell[2]:import sys
from mininet.node import Controller
from mininet.log import setLogLevel, info
from mn_wifi.node import UserAP
from mn_wifi.cli import CLI
from mn_wifi.net import Mininet_wifi
from mn_wifi.link import wmediumd
from mn_wifi.wmediumdConnector import interference
def topology(args):
"Create a network."
net = Mininet_wifi(controller=Controller, accessPoint=UserAP,
link=wmediumd, wmediumd_mode=interference)
info("*** Creating nodes\n")
net.addStation('sta1', position='15,20,0', bgscan_threshold=-60,
s_inverval=5, l_interval=10, bgscan_module="simple")
ap1 = net.addAccessPoint('ap1', mac='00:00:00:00:00:01', ssid="handover",
mode="g", channel="1", passwd='123456789a',
encrypt='wpa2', position='10,30,0')
ap2 = net.addAccessPoint('ap2', mac='00:00:00:00:00:02', ssid="handover",
mode="g", channel="6", passwd='123456789a',
encrypt='wpa2', position='60,30,0')
ap3 = net.addAccessPoint('ap3', mac='00:00:00:00:00:03', ssid="handover",
mode="g", channel="1", passwd='123456789a',
encrypt='wpa2', position='120,100,0')
c1 = net.addController('c1')
info("*** Configuring Propagation Model\n")
net.setPropagationModel(model="logDistance", exp=3.5)
info("*** Configuring wifi nodes\n")
net.configureWifiNodes()
info("*** Creating links\n")
net.addLink(ap1, ap2)
net.addLink(ap2, ap3)
if '-p' not in args:
net.plotGraph(min_x=-100, min_y=-100, max_x=200, max_y=200)
info("*** Starting network\n")
net.build()
c1.start()
ap1.start([c1])
ap2.start([c1])
ap3.start([c1])
info("*** Running CLI\n")
CLI(net)
info("*** Stopping network\n")
net.stop()
if __name__ == '__main__':
setLogLevel('info')
topology(sys.argv)
Sincerely,
Muhammad
Ramon Fontes
Ramon Fontes
Muhammad Bo
Dear Ramon,
That is Great! Thank You.
Actually, since your previous message, I was thinking that executing two cells simultaneously (and independently) may be a solution to the problem. Hence, I was working with ipyparallel (IPython for parallel computing), and I made progress. But, now I need to stop that investigation.
One small inquiry exists on my side.
For the sake of reproducibility, I was working with the ready VM image of mn-wifi (i.e., [3.4GB Size] - Lubuntu 20.04 x64 - Mininet-WiFi (pass: wifi)). It was totally working with the previous steps we took to resolve the problem.
As soon as you commit the changes to the cli.py. I did git pull and update the code. Strange though it may seem, the plot was forced to be opened in an external window (figure), and not inside the cell of Jupyter.
In other words, before doing the git pull, nothing was wrong with jupyter.ipynb (i.e., the first cell configuring matplotlib made the way to see the plot inside the cell). Hence, there should exist one commit (compared to the version installed on the VM ready image) that causes this behavior.
I double-check it with the last commit. The last commit was not the reason for this behavior, as I revert the git pull and manually change the cli.py and make install, and all parts were working as they should be.
Any idea about it? Did you alter any lines in the plot or other parts?
Ramon Fontes
Muhammad Bo
- Until that we get the output for running cell, we wont be able to execute the next cells.
- Jupyterlab will let multiple notebook to be connected to some specific kernel. It solves our problem, as in one notebook we can run the cell with [1], and another notebook we run the cell with [2]. However, Jupyterlab brings new problem with the %matplotlib notebook that you have recently addressed. JupyterLab does not support %matplotlib notebook the way Jupyter notebook does.
- I was wondering we can use some trick like importing multiprocessing to force a cell to be non-blocking. I find the below intuition:
from multiprocessing import Manager, Process, Value
condition = Value('b', True)
def worker(go):
while go.value:
time.sleep(4)
print("Some CLI Here")
return
p = Process(target=worker, args=(condition,))
p.start()
- It makes the cell 1 non-blocking. Hence, we would be able too execute any other cell.
- If we want to stop process for cell one, we can execute: condition.value = False in any cell.
Please try this commit.
Ramon Fontes
Muhammad
Dear All,
Update: I have some attempts to do the integration with JupyterHub (As it offers user control and etc.)
One question that needs to be checked with you in our previous attempt. I provided a simple ipynb file with a handover example. The issue is stated below.
· Execution 1: When running cell 2 (i.e., the handover example), the netplot works perfectly. There exists some mobility scenario in cell 2. If you execute cell 3 (i.e., ping) right after execution of cell 2 and before or during the mobility, the netplot graph will stop working, and ping continues to be executed. After finishing the ping, the mobility is done in the cell 2. Meanwhile, you get the below output in cell 3.
64 bytes from 10.0.0.2: icmp_seq=6 ttl=64 time=4.38 ms
Exception in thread wifiParameters:
Traceback (most recent call last):
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/usr/local/lib/python3.8/dist-packages/mininet_wifi-2.6-py3.8.egg/mn_wifi/mobility.py", line 171, in parameters
self.config_links(mob_nodes)
File "/usr/local/lib/python3.8/dist-packages/mininet_wifi-2.6-py3.8.egg/mn_wifi/mobility.py", line 195, in config_links
ack = self.check_in_range(intf, ap_intf)
File "/usr/local/lib/python3.8/dist-packages/mininet_wifi-2.6-py3.8.egg/mn_wifi/mobility.py", line 139, in check_in_range
self.ap_out_of_range(intf, ap_intf)
File "/usr/local/lib/python3.8/dist-packages/mininet_wifi-2.6-py3.8.egg/mn_wifi/mobility.py", line 105, in ap_out_of_range
intf.disconnect(ap_intf)
File "/usr/local/lib/python3.8/dist-packages/mininet_wifi-2.6-py3.8.egg/mn_wifi/link.py", line 515, in disconnect
self.iwdev_cmd('{} disconnect'.format(self.name))
File "/usr/local/lib/python3.8/dist-packages/mininet_wifi-2.6-py3.8.egg/mn_wifi/link.py", line 117, in iwdev_cmd
return self.cmd('iw dev', *args)
File "/usr/local/lib/python3.8/dist-packages/mininet/link.py", line 70, in cmd
return self.node.cmd( *args, **kwargs )
File "/usr/local/lib/python3.8/dist-packages/mininet/node.py", line 386, in cmd
self.sendCmd( *args, **kwargs )
File "/usr/local/lib/python3.8/dist-packages/mininet/node.py", line 303, in sendCmd
assert self.shell and not self.waiting
AssertionError
64 bytes from 10.0.0.2: icmp_seq=7 ttl=64 time=4.70 ms
…
· Execution2: let’s run cell 2 and waits for mobility to be accomplished. Then, by executing cell 3, ping outputs unreachable as it is expected since the sta is out of the range of coverage of AP.
It seems that executing the CLI(cmd=ping) stops the mobility. Any idea here to overcome?
Best,
Muhammad
Ramon Fontes
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