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These mechanisms can be used to manage how workloads are binpacked for efficiency, spread for availability, isolated from one another for performance or reliability or security, colocated with required resources, matched with desired configurations, and manage node drains
These scheduling primitives are pretty flexible, but if there are constraints or other policies or criteria that can’t be represented, users can use their own schedulers. In order to do that in Borg, one would have to add a constraint to a task to pin it to a specific machine
The Omega paper compared performance of 2-level scheduling with information hiding, but one issue it didn’t mention is that the lower-level scheduler needs to implement all of the same constraints as all the upper-level schedulers, or it may never satisfy their requirements
Anyway, while resource optimization is an important concern, there are many other considerations in decisions, such as whether container images already resident, which facilitates faster start time
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