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Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems

机译:云计算非线性问题云计算基础设施的仿真

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Scientists and engineers are more and more faced to the need of computational power to satisfy the ever-increasing resource intensive nature of their experiments. Traditionally, they have relied on conventional computing infrastructures such as clusters and Grids. A recent computing paradigm that is gaining momentum is Cloud Computing, which offers a simpler administration mechanism compared to those conventional infrastructures. However, there is a lack of studies in the literature about the viability of using Cloud Computing to execute scientific and engineering applications from a performance standpoint. We present an empirical study on the employment of Cloud infrastructures to run parameter sweep experiments (PSEs), particularly studies of viscoplastic solids together with simulations by using the CloudSim toolkit. In general, we obtained very good speedups, which suggest that disciplinary users could benefit from Cloud Computing for executing resource intensive PSEs.
机译:科学家和工程师越来越符合计算能力,以满足他们实验的不断增加的资源密集质性质。传统上,它们依赖于传统的计算基础设施,例如集群和网格。最近获得势头的计算范例是云计算,与这些传统基础设施相比,提供了更简单的管理机制。然而,文献中缺乏关于使用云计算的可行性从性能角度执行科学和工程应用的生存性的研究。我们对运行参数扫描实验(PSE)的云基础设施的就业,特别是通过使用CloudSim工具包以及模拟的研究。一般来说,我们获得了非常好的加速,这表明纪律者可以从云计算中受益,以执行资源密集型PSE。

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