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A mathematical analysis of the cumulus pricing scheme

机译：累积定价方案的数学分析

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One important task in current and future communication networks is to define a suitable pricing scheme. It is then preferable to formulate a mathematical model, so that parameters will be optimized and important properties such as fairness or truthful anticipated load revelation (or incentive compatibility) will be verified. In this paper we study a simple and promising scheme called the cumulus pricing scheme, which can address service differentiation and scalability among other issues. Based on a mathematical model, we determine values for optimizing the provider's revenue, which happens under the constraint that each user has an incentive to reveal its anticipated load. This has led to a small variation of the initial model from the literature as in the modelling, cumulus points are translated into financial terms, and measurements induce a cost as well.
机译：当前和将来的通信网络中的一项重要任务是定义合适的定价方案。然后最好建立一个数学模型，以便优化参数，并验证诸如公平性或真实预期负荷启示（或激励相容性）之类的重要属性。在本文中，我们研究了一种简单而有希望的方案，称为累积定价方案，该方案可以解决服务差异和可扩展性等问题。基于数学模型，我们确定用于优化提供商收入的值，该值发生在每个用户都有动机透露其预期负荷的约束下。这导致文献中初始模型的变化很小，因为在建模中，累积点被转换为财务术语，而度量也产生了成本。

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