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Pricing model for internet-based multi-class Video-On-Demand(VOD) services

机译:基于互联网的多类别视频点播(VOD)服务的定价模型

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This paper presents an optimal Pay-Per-View (PPV) price decision model for maximizing an Internet based Video-On-Demand (VOD) service provider’s revenues, taking into account the service provider’s service quality and consumers’ willingness to pay. The model considers multi-class VOD services with differentiated qualities and determines the optimal price for each class through simulations. The simulation results show that as long as all the multi-class services have non-zero demands, the differential pricing system provides more revenues than the uniform pricing system that prevails in the current VOD market. To test the robustness of the model, simulations were performed with gradually increasing customer demands or system workloads. The simulation results show that even with substantial customer demands or system workloads, self-adjustment mechanism of the model works and the system reaches a stable status in equilibrium. This paper also presents a numerical example of guaranteeing Quality-of-Service (QoS) through pricing strategies as a short-term measure.
机译:本文提出了一种最佳的按次付费(PPV)价格决策模型,该模型考虑了服务提供商的服务质量和消费者的支付意愿,可以最大化基于Internet的视频点播(VOD)服务提供商的收入。该模型考虑具有不同质量的多类VOD服务,并通过仿真确定每种类的最优价格。仿真结果表明,只要所有的多类服务都具有非零需求,与当前VOD市场中普遍使用的统一定价系统相比,差异定价系统提供的收入就​​更多。为了测试模型的健壮性,在逐渐增加客户需求或系统工作负荷的情况下进行了仿真。仿真结果表明,即使有大量的客户需求或系统工作量,该模型的自调整机制仍然起作用,系统达到了稳定的平衡状态。本文还提供了一个通过定价策略来保证服务质量(QoS)的短期措施的数值示例。

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