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The 16 Fear and Disgust faces that served as prime faces were also presented during the identical vs. different decisions stage, whereas the 16 Sad and Joy faces served only as different facial expression stimuli during the identical vs. different decision stage.
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Therefore, the applications which are allocated resources in the early decision stages have a higher chance to obtain much lower violation percentages than the applications that are allocated resources in the decision stages that come later since most of the resources will be exhausted at these late decisions stages.
This is because the workloads considered in the two experiments have the same bottleneck tier, i.e., web tier, in all resource allocation intervals at all decisions stages.
This is the task of the final decision stage (Note Decision).
This decision stage can be integrated into the NMF procedure by using group sparsity [32] which obviates the need for a back-end decision stage in future work.
Each decision stage generates an optimal or near optimal resource allocation plan given that one additional resource is available for allocation relative to the previous decision stage.
If the initial decision state is successfully passed, the system goes into the final decision stage.
If the initial decision state is successfully passed, the system reaches the final decision stage.
We note that the WAM invocations in each decision stage are completely independent of one another.
The naive way is to evaluate all possible resource allocation plans at each decision stage.
In Figure 4, the structure of the Note Decision stage is shown.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com