Thanks for providing the suggestions. 2017-03-09 18:13 GMT+08:00 Roland Weber <[email protected]>:
> Realistically, you have to run either the whole Jupyter or each notebook > kernel in a container (Docker, LXC,...). Then you can set limits on the > container(s), and/or restrict the number of simultaneously running kernels > through the Jupyter kernel manager. > > Without containers, a user can consume basically unlimited memory and CPU > even from a single Python notebook kernel. > > -- > You received this message because you are subscribed to a topic in the > Google Groups "Project Jupyter" group. > To unsubscribe from this topic, visit https://groups.google.com/d/ > topic/jupyter/ZofSrwjlXOw/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > [email protected]. > To post to this group, send email to [email protected]. > To view this discussion on the web visit https://groups.google.com/d/ > msgid/jupyter/917a5916-485a-46c7-bd81-264f0405e229%40googlegroups.com > <https://groups.google.com/d/msgid/jupyter/917a5916-485a-46c7-bd81-264f0405e229%40googlegroups.com?utm_medium=email&utm_source=footer> > . > > For more options, visit https://groups.google.com/d/optout. > -- Yalan Xue ， SIT Lab of Nanjing University Address: Nanjing ,China。 -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/CACNymyt1GTPh3wh9S2eRE2XjvpjGzxxb%2BtN8e%2B6ATTnaQkJD1g%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
