Hey, Thanks for writing me back!
Maybe there is some other method to solve this problem on statically reserved cluster? The solution could be making agent's resources appear as unreserved resources to only selected framework. I can see that mesos-agent has --acls flag, so maybe tinkering with this could help me. Of course it is possible to implement this in the framework scheduler, but this will add way more clunkiness to the code. It feels like this kind of resource management should be part of Mesos. Maybe I'm missing something? On Mon, Jan 16, 2017 at 4:58 PM, haosdent <[email protected]> wrote: > Hi, @Povilas It is possible to dynamic reserve unreserved resources on > those agents. > > On Fri, Jan 13, 2017 at 2:47 PM, Povilas Versockas <[email protected]> > wrote: > >> Hi, >> >> Maybe someone can help me with a problem I'm having. Short version of the >> question is: >> Is it possible to use dynamic reservation on statically reserved Mesos >> agents? >> >> The current situation is that we have Mesos cluster which runs many >> frameworks (aurora, spark, cassandra) and we are developing a custom >> framework for stateful tasks. Our framework manages stateful tasks for many >> users. Currently we statically reserved our hardware which has good disks >> only to be used by our framework (via --resources flag on Mesos Agents). >> >> The problem we are facing is that if one stateful task fails we would >> like to relaunch it on the same host with the same port, cpu, disk and >> memory. >> With dynamic reservations we would put a label with task id on a >> reservation and on failure would just simply reuse the reserved offer. >> On the other hand with statically reserved Mesos agents we cannot put any >> labels and so we cannot distinguish offers which should have been reserved >> for a task and a new offer. >> This leaves us in the situation that if one stateful task fails and there >> are new stateful tasks, the new tasks can be scheduled on failed task's >> Mesos agent, filling it up and taking it's port, cpu and memory. >> >> >> -- >> Regards >> Povilas Versockas >> > > > > -- > Best Regards, > Haosdent Huang > -- Pagarbiai Povilas Versockas
