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https://issues.apache.org/jira/browse/KUDU-2036?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexey Serbin updated KUDU-2036:
--------------------------------
    Description: 
It would be nice to introduce a run-time scenario for kudu-jepsen to run tablet 
servers on machines with significant clock skew (say, 30 seconds for the 
beginning).

>From the high-level, it seems feasible to update local clock on every machine 
>and then start the ntpd daemon which uses machine's hardware clock as a driver 
>(so, no external NTP server to sync with).

While doing that, it's worth clarifying how to do the same trick if using 
Docker containers instead of VMs -- it might not work under Docker.

  was:
It would be nice to introduce a run-time scenario for kudu-jepsen to run tablet 
servers on machines with significant clock skew.

>From the high-level, it seems feasible to update local clock on every machine 
>and then start the ntpd daemon which uses machine's hardware clock as a driver 
>(so, no external NTP server to sync with).

While doing that, it's worth clarifying how to do the same trick if using 
Docker containers instead of VMs -- it might not work under Docker.


> kudu-jepsen: add a scenario to run against a set of machines having 
> significant clock skew
> ------------------------------------------------------------------------------------------
>
>                 Key: KUDU-2036
>                 URL: https://issues.apache.org/jira/browse/KUDU-2036
>             Project: Kudu
>          Issue Type: Task
>            Reporter: Alexey Serbin
>              Labels: consistency, newbie
>
> It would be nice to introduce a run-time scenario for kudu-jepsen to run 
> tablet servers on machines with significant clock skew (say, 30 seconds for 
> the beginning).
> From the high-level, it seems feasible to update local clock on every machine 
> and then start the ntpd daemon which uses machine's hardware clock as a 
> driver (so, no external NTP server to sync with).
> While doing that, it's worth clarifying how to do the same trick if using 
> Docker containers instead of VMs -- it might not work under Docker.



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