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The main goal is to reduce operating costs and electric power outages by adjusting the network connectivity when a contingency occurs.
In dynamic datacenter networks (DDNs), there are two ways to handle growing traffic: adjusting the network topology according to the traffic and placing virtual machines (VMs) to change the workload according to the topology.
The use of Bayesian Networks allows to organize and correlate information gathered from different sources and its optimization may incorporate restrictions adjusting the network based on expert knowledge and network operativeness, in such a way that it may satisfactorily represent a given domain.
The networks gradually learn the input/output relationships of interest by adjusting the network weights to minimize the error between the actual and predicted output patterns of the training sets (Fig. 9).
During the trials the company will certainly be adjusting the network so that they can reduce as much P2P traffic as possible while affecting as small a number of users as possible, all the while being able to claim that they aren't directly targeting P2P.
As such, the bifurcation diagram shown in Fig. 1 is an indication of the difficulty to apply the theory of cortical hallucinations developed in [8] where it was assumed that such stereotyped cortical patterns could be explained by adjusting the network parameters close to bifurcations.
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Classical SOMs read the input values in random but sequential order one by one and thus adjust the network structure over space: the network will be built while reading larger and larger parts of the input.
The network monitor will detect network condition and adjust the network attribute in UED file.
Furthermore, the QKLMS-MDL adjusts the network size adaptively according to the true system complexity.
We use the well-established backpropagation algorithm to adjust the network weights.
The training set was used to calculate and adjust the network weights.
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