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The first objective is to maximize the satisfactory factor of each ISS (τcpu, τM, τB, τD).
In this work, we only consider as one SLA parameter; i.e. the satisfactory factor of the IVR application.
This satisfactory factor is defined as the resources employed by a certain number of users over the allocated ISS resources.
Without these three new items, the two subscales were obtained with a forced 2-factor analysis which yielded satisfactory factor loadings.
The values of the allocated resources should be reduced for fitness values less than 0.75 and increased for a satisfactory factor greater than 1.
The computational resource sharing algorithm minimizes the substrate resource utilization and the resource allocation time while maximizing the satisfactory factor of IVR applications.
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Figure 12 CPU, memory and bandwidth satisfactory factors.
The closer the satisfactory factors are to 1, the better the resource usage.
These satisfactory factors are used as fitness functions for the GA resource computation algorithm.
If the satisfactory factors are less than 0.75 or greater than 1, the resource is under or over loaded, respectively.
The population derived from this mutation process will have a satisfactory factors τCPU = 0.81 and τB = 1.
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