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

机译:非线性固体问题参数研究的云计算基础设施仿真

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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面临计算能力的需求,以满足他们不断增长的资源密集型实验的需求。传统上,他们依靠传统的计算基础架构,例如集群和网格。云计算是一种新兴的计算范例,与传统的基础架构相比,它提供了一种更简单的管理机制。然而,从性能的角度来看,文献中缺乏关于使用云计算执行科学和工程应用程序的可行性的研究。我们提供了一项关于使用云基础架构来运行参数扫描实验(PSE)的经验研究,尤其是对粘塑性固体的研究以及使用CloudSim工具包进行的模拟。总体而言,我们获得了很好的加速,这表明纪律用户可以从云计算中受益,以执行资源密集型PSE。

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