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Role of predictive modeling in cloud services pricing: A survey

机译:预测建模在云服务定价中的作用:调查

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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 resources e.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.
机译:在大数据分析的时代,预测建模起到了通过使用历史数据来预测未来需求和行为的重要作用。作为大多数IT公司在云服务后面运行,亚马逊,谷歌云,微软Azure等云服务提供商可能有兴趣了解计算资源的未来需求,以便他们可以推出新的定价计划以获得更多利润。提供商对计算资源的收费有不同的定价方案,例如,亚马逊提供三种定价方案,即按需定价,保留的定价和拍卖定价,以与Microsoft有不同的方案,如您的Pay-You-go订阅,预付费订阅。本文提出了预测建模在云服务定价中的作用调查。调查结果清楚地表明,各个作者提出的预测更接近实际结果,这突出了预测模型预测云计算资源未来需求和决定资源价格的重要性。

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