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For the third objective function, that is, Eq. (6), deals with minimization workload variance on machines in different cells.
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A finite state Markov model for the server that minimizes the workload demand during energy minimization at the cost of reliability in hosting clusters is presented [47].
The first is the workload minimization in inter-domain routing problem, and the other is the unrelated machines scheduling problem.
In most cases, the iGA can result better sectors balancing fb, a smaller minimization of coordination workload fc, and a larger maximization of sector average flight time ft, because of the boundary optimization part and the crossover operator added.
At this context, an integrated residual workload minimization (IRWM) algorithm and a heuristic call admission control (CAC) algorithm are proposed as a framework of the resource management scheme for future OFDMA-based wireless access networks.
The objective of the experiment is to investigate the correlation between the accuracy of the risk minimization principle and the workload pattern.
In several situations, such as disaster relief efforts, computer networks, and workload balance, the minimization of the longest route (Min Max) is a better objective function.
As this algorithm always tries to minimize the integrated residual workload, it will be referred to as the integrated residual workload minimization (IRWM) algorithm.
These techniques are sometimes referred to as optimal packing of workloads or interference minimization [10].
Four sub-hypotheses are introduced in order to experiment the risk minimization principles vis-à-vis the different workload patterns.
Therefore, in this paper we use MLPWD algorithm to study the accuracy of the structural risk minimization for predicting the different classes of workload.
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CEO of Professional Science Editing for Scientists @ prosciediting.com