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OCSO PaaS optimization implements optimized monitor and scaling control which can implement scaling activities more effectively than official dynamic scaling solutions.
Relying on similar threshold triggering algorithms which ask for a certain monitor metric for a specific interval/duration/breach time period, these policy/rule-based scaling solutions provide a simple and convenient means of customized resource scaling control depending on the applications' real-time monitor data.
For the first time, we demonstrated a new scaling control strategy for FO by the inclusion of anti-scaling functions in the draw solution chemistry.
Our results provide significant implications for PRO scaling control.
By giving accurate determination of scale inhibitor efficiency, this method could enable better scaling control.
The case study results demonstrate the practical significance of the approach in the context of boron removal and chemical scaling control within seawater RO applications.
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Consequently, OCSO achieves PaaS service resource utilization efficiency since the effective scaling controls would save considerable VM hours while managing varied workloads.
Based on the developed multi-scale modeling framework, a multi-scale control (MSC) strategy using PID-type controllers is then designed and compared with that of a single-scale control (SCC) strategy.
Some say shooting is an effective means of small-scale control; others say it makes it harder for government pest controllers to do their job.
The multi-scale control scheme offers a systematic approach to designing multi-loop PID controllers augmented with filters.
Scale Control Processor Test-chip.
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