Hi all,
While studying Hadoop performance in a virtual environment, I found an interesting problem with Nova scheduling. In OpenStack cluster, we have overcommit policy, allowing to put on one compute more vms than resources available for them. While it might be suitable for general types of workload, this is definitely not the case for Hadoop clusters, which usually consume 100% of system resources. Is there any way to tell Nova to schedule specific instances (the ones which consume 100% of system resources) without overcommitting resources on compute node? Alexander Kuznetsov.
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