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Cloud customers??? historical record based on-demand resource reservation

机译:云客户???基于历史记录的按需资源预留

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Still lacking a standard architecture, cloud computing requires sophisticated ways to estimate resources for the requesting cloud service customers (CSCs). CSC show random behavior in utilizing various services. In this regard, if all the CSCs are treated in the same way, not only cloud service providers (CSPs) suffer because of uctuating utilization behavior of CSCs, but also CSCs suffer, since they do not get any incentive for their loyalty. We propose a dynamic resource estimation method, taking into account CSCs historical record of service utilization or relinquish. With the intent of showing practical implications of our method, we implemented it using Amazon EC2 pricing. Based on various services, differentiated through Amazon's price plans, and historical record of CSCs, the model determines resources to be allocated. More loyal CSC gets better service, while for the contrary case, CSP reserves resources cautiously.
机译:云计算仍缺乏标准架构,它需要复杂的方法来估计请求云服务客户(CSC)的资源。 CSC在利用各种服务时表现出随机行为。在这方面,如果以相同的方式对待所有CSC,则不仅云服务提供商(CSP)会因CSC的使用行为变化而受苦,而且CSC也会受苦,因为它们没有获得任何忠诚度激励。考虑到CSC服务利用或放弃的历史记录,我们提出了一种动态资源估计方法。为了展示我们方法的实际含义,我们使用Amazon EC2定价实施了该方法。该模型基于各种服务(通过亚马逊的价格计划和CSC的历史记录加以区分)确定要分配的资源。忠诚度更高的CSC会获得更好的服务,相反,CSP会谨慎地保留资源。

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