SaaS enabled admission control for MCMC simulation in cloud computing infrastructures

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• 作者：J.L. Vá ; zquez-Poletti^a ; ^{jlvazquez@fdi.ucm.es} ; R. Moreno-Vozmediano^a ; R. Han^b ; W. Wang^c ; I.M. Llorente^a
• 关键词：Cloud computing ; SaaS ; PaaS ; Admission control
• 刊名：Computer Physics Communications
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：211
• 期：Complete
• 页码：88-97
• 全文大小：771 K
• 卷排序：211

文摘

Markov Chain Monte Carlo (MCMC) methods are widely used in the field of simulation and modelling of materials, producing applications that require a great amount of computational resources. Cloud computing represents a seamless source for these resources in the form of HPC. However, resource over-consumption can be an important drawback, specially if the cloud provision process is not appropriately optimized. In the present contribution we propose a two-level solution that, on one hand, takes advantage of approximate computing for reducing the resource demand and on the other, uses admission control policies for guaranteeing an optimal provision to running applications.