Hi Jafar.  Adding to Roland's questions...

Per the attached config file, you have not enabled culling.  The culling 
options that you have apparently modified are still commented out.  Remove 
the comment character for those options to 'activate' them.  In addition, 
there may be other steps involved for "exposing" Notebook configuration 
files within a JupyterHub environment. (I'm unfamiliar with Hub so perhaps 
others can confirm.)  Finally, I believe Hub may have (or is in the process 
of having) the capability to cull the spawned Notebook servers.  If I 
recall the various threads of conversation on this, I think Hub's culling 
of Notebook servers also considers the notebook server's kernel's idle 
time.  However, what I'm not certain about is if the culling of Notebook 
servers (by Hub) is dependent on enablement of the culling of kernels 
within the Notebook server vs. a different Hub-scoped configuration option 
for culling the spawned NB server.

On Thursday, February 7, 2019 at 5:57:03 AM UTC-8, Jafar Sharif wrote:
>
> Hi Roland, 
>        Let explain you my case for achieving it. We have jupyterhub in an 
> aws instance and have different logins for different user, Sometimes we 
> all  work on the same user and people will start working on the tasks and 
> in the end of the they will close the notebook without shutdown. In this 
> case it is consuming the most of the instance . so i am thinking of is 
> there anyway to kill the kernals that are running for long hours(idle 
> kernels). So i have seen in the jupyter notebook documentation from 5.1.0 
> they have introduced the killing of the kernels through config file.With 
> the help of documentation file i have generated the config file and made 
> changes as per the documentation. My current jupyter version is 5.7.1.. Can 
> you please let me know what changes need to be done in the config file. I 
> have attached the config file.
>
> Thanks 
> Jafar
>
> On Thu, Feb 7, 2019 at 12:23 PM Roland Weber <[email protected] 
> <javascript:>> wrote:
>
>> Have you checked that you're on a recent version of Jupyter Notebook?
>>
>> Are the kernels actually idle, or could they still be executing a 
>> long-running cell?
>>
>> Have you tried to enable debug logging, to see if the culling is actually 
>> attempted?
>>
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