Role of predictive modeling in cloud services pricing: A survey

Meetu Kandpal, Monica Gahlawat, Kalyani Patel
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引用次数: 7

Abstract

In the era of Big Data analytics predictive modeling plays an important role to predict the future demand and behavior by using historical data. As majority of the IT companies running behind cloud services, the cloud service providers like Amazon, Google cloud, Microsoft Azure etc may be interested to know the future demand of the computing resources so that they can derive new pricing schemes to gain more profit. The providers have different pricing schemes to charge for computing resourcese. g., Amazon provides three pricing schemes, namely, on-demand pricing, reserved pricing and auction pricing in the same way Microsoft has different schemes like Pay-As-You-Go Subscriptions, Prepaid Subscriptions. The paper presents survey of role of predictive modeling in cloud service pricing. The survey result clearly shows that predictions made by various author are closer to actual outcomes, which highlights the importance of predictive modeling to forecast future demand of cloud computing resources and deciding the price of resources.
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预测建模在云服务定价中的作用:调查
在大数据分析时代,预测建模利用历史数据预测未来的需求和行为发挥着重要作用。由于大多数IT公司都在运行云服务,像亚马逊,谷歌云,微软Azure等云服务提供商可能有兴趣了解未来计算资源的需求,以便他们可以制定新的定价方案,以获得更多的利润。供应商对计算资源有不同的定价方案。例如,亚马逊提供了三种定价方案,即按需定价,保留定价和拍卖定价,就像微软有不同的方案,如按需付费订阅,预付订阅。本文综述了预测建模在云服务定价中的作用。调查结果清楚地表明,各作者的预测更接近实际结果,这凸显了预测建模对预测未来云计算资源需求和决定资源价格的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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