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Physics and microeconomics-based metrics for evaluating cloud computing elasticity

机译:基于物理和微观经济学的指标,用于评估云计算弹性

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摘要

Currently, many customers and broadband providers are using cloud resources, such as processing and storage, for their applications and services. With the increase of computational resources usage, elasticity has become quite attractive and a key feature in cloud computing paradigm. However, due to many technologies and strategies for providing cloud elasticity, its measurement is not obvious. Here we propose a set of metrics for measuring cloud computing elasticity based on Physics' concepts, such as strain and stress, and Microeconomics. Our experimental results show that the proposed elasticity metrics behave well towards the CPU usage. Besides, the metrics computation is simpler because it is straightforward, which speeds up the cloud elasticity evaluation. (C) 2016 Elsevier Ltd. All rights reserved.
机译:当前,许多客户和宽带提供商正在将云资源(例如处理和存储)用于其应用程序和服务。随着计算资源使用的增加,弹性已变得相当有吸引力,并且是云计算范例中的关键功能。但是,由于提供云弹性的许多技术和策略,其度量并不明显。在这里,我们提出了一组基于物理概念(如应变和应力以及微观经济学)的衡量云计算弹性的指标。我们的实验结果表明,所提出的弹性指标对于CPU使用率表现良好。此外,指标计算更简单,因为它很简单,从而加快了云弹性评估的速度。 (C)2016 Elsevier Ltd.保留所有权利。

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