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<p>Hi,</p>
<p>We would like to do over-subscription on a cluster that's running
in the cloud. The cluster dynamically spins up and down cpu nodes
as needed. What we see is that the least-loaded algorithm causes
the maximum number of nodes specified in the partition to be spun
up and each loaded with N jobs for the N cpu's in a node before it
"doubles back" and starts over-subscribing.</p>
<p>What we actually want is for the <i>minimum </i>number of nodes
to be used and for it to fully load (to the limit of the
oversubscription setting) one node before starting up another.
That is, we really want a "most-loaded" algorithm. This would
allow us to reduce the number of nodes we need to run and reduce
costs.</p>
<p>Is there a way to get this behavior somehow?</p>
<p>Herc</p>
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