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optimize priority functions

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mqliang 2015-11-27 23:00:31 +08:00
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docs/proposals/multiple-schedulers.md
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@ -152,6 +152,12 @@ which the client has set a scheduler annotation that does not correspond to a ru
2. Dynamic launching scheduler(s) and registering to admission controller (as an external call). This also 2. Dynamic launching scheduler(s) and registering to admission controller (as an external call). This also
requires some work on authorization and authentication to control what schedulers can write the /binding requires some work on authorization and authentication to control what schedulers can write the /binding
subresource of which pods. subresource of which pods.
3. Optimize the behaviors of priority functions in multi-scheduler scenario. In the case where multiple schedulers have
the same predicate and priority functions (for example, when using multiple schedulers for parallelism rather than to
customize the scheduling policies), all schedulers would tend to pick the same node as "best" when scheduling identical
pods and therefore would be likely to conflict on the Kubelet. To solve this problem, we can pass
an optional flag such as `--randomize-node-selection=N` to scheduler, setting this flag would cause the scheduler to pick
randomly among the top N nodes instead of the one with the highest score.
## Other issues/discussions related to scheduler design ## Other issues/discussions related to scheduler design