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Dynamic pricing strategy and optimal resource selection strategy based on credibility model

机译:基于信誉模型的动态定价策略与最优资源选择策略

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With the gradual development of Cloud Computing, the model of work and business will fundamentally change in the future. Current market trading mechanism under the cloud computing environment is lacking in flexibility and most of companies adopt a fixed-rate pricing model, which is difficult to meet the different needs of users. Based on cloud bank model, this paper introduces economic theory to provide a theoretical basis for the development of resource prices and propose a dynamic pricing strategy and maximize utility resource selection strategy based on market supply and demand and credit for cloud bank. In the last part of this paper, we use simulation platform to do a simple experiment to test this dynamic pricing strategy. Experiment result shows the pricing strategy could adjust computing resource prices automatically under the general market price rule conditions and maximize utility resource selection strategy could get the max utility for resource consumers.
机译:随着云计算的逐步发展,工作和业务的模型将在未来的根本上改变。目前云计算环境下的市场交易机制缺乏灵活性,大多数公司采用固定率定价模型,这很难满足用户的不同需求。本文基于云银行模型,介绍了经济理论,为发展资源价格的发展提供理论依据,并提出了一种基于市场供需和云银行的信贷基于市场供需和信贷最大限度地提高公用事业资源选择策略。在本文的最后一部分中,我们使用仿真平台进行简单的实验来测试这种动态定价策略。实验结果表明,定价策略可以在一般市场价格规则条件下自动调整计算资源价格,并最大限度地提高实用程序资源选择策略可以获得资源消费者的最大实用程序。

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