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The scaling optimization starts when a VM violates its green limit for the specified threshold.
Due to the dynamic threshold and green limit evolution used in the optimized scaling algorithm, OCSO initiates faster optimization cycles to closely cope with the changes of the workload.
In fact, this is due to the fact that threshold mechanisms would act only after green limit violations, by which time the VMs have already been running inefficiently for a while.
The new application environment capacity is generated by considering two factors: the secondary metric data-reflected capacity; the current combined CPU utilizations of all involved VMs towards the specified green limit.
Yet overall speaking, OCSO achieves a better result than Auto Scaling, seen as it owns more utilizations within the specified 30-70% green limit than AutoScaling, especially while scaling down.
Basically, if the system detects that there is excessive high/low workload incoming than the provisioned resource could possibly handle, the next up/down green limit will be adjusted to relatively a lower/higher value whilst the threshold will probably also be tuned to a smaller value (depending on whether it is a continued scaling).
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In this way, whenever an optimization occurs, the successor's green boundary limit and threshold values are evolved, using (2.1), (2.3), (3.1) and (3.3).
7.17pm BST Cabrera bumps a delightful chip back up onto the green, limiting the damage to bogey.
Then, according to relevant monitoring period, frequency, up/down green limits and thresholds specified in the optimization rules, OCSO implements periodical service resource monitor actions.
Then if the regulated monitoring utilization data violates the up/down green limits for the respected thresholds, appropriate scaling optimization will be triggered (refer to full algorithm in Additional file 1). Figure 2 The optimization triggering algorithm.
Basically, the amount of dynamic scaling adjustment is controlled according to two aspects: I) whether an optimization is a continued or intermittent scaling; II) how much the regulated utilization monitor values exceed the green limits (i.e., within, by or over 10%).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com