The 2D (two-dimensional) numerical model was developed using the Field Recursive System (FRS) finite element method. The initial condition is a random noise and the boundary conditions are periodic in the horizontal direction, wave reflection and free surface with specified motion in the x-direction. The numerical results of the wave propagation are presented in this paper and discussed in order to assess the numerical model and their applicability. The numerical model is used to predict the horizontal dispersion of the wave field and to detect the wave breaking phenomenon. Moreover, the numerical results are used to compare with the experimental data obtained at the wave tank in Toulon (France). The comparison shows that the numerical model is in good agreement with the experimental data. The wave breaking phenomenon is correctly detected by the numerical model. The numerical model can be used to study the wave propagation characteristics in the nearshore environment.
In a last part, we present the results of our study of the effects of the Boussinesq waves on the evolution of a two-dimensional Poiseuille flow. We have obtained a new mathematical model of the flow. This model aims to provide a better understanding of the main physical features of the flow, such as the interaction between the waves and the flow. The numerical results show that the wave characteristics are a determining factor in the evolution of the flow. The waves generate a viscosity which reduces the viscous losses due to the flow. This viscosity also contributes to the evolution of the flow in a nonlinear manner.
Abstract We present the results of two simulation models for real-time scheduling in five-server systems. A deadline-based scheduling algorithm for five-server systems is proposed. The algorithms use two parameters: the deadline and the maximum latency. The ability of the scheduling algorithms to provide non-preemptive feasible schedules for such systems is proved by the absence of over-constraining. Two models are proposed in order to study the impact of the scheduler’s a priori knowledge of the maximum latency and the number of tasks submitted. Numerical results are presented for the scheduling of data transmission tasks. Copyright Springer Science+Business Media, LLC 2008Keywords: Scheduling; Real-time; Non-preemptive; Latency; Deadline; Periodicity (search for similar items in EconPapers)Copyright 2008 Springer
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