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Joint decisions on pricing and capacity allocation for cyberspace rental services

机译:关于网络空间租赁服务的定价和容量分配的联合决定

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For cyberspace rental service providers with multiple services, study about how to control capacity allocation on fixed aggregate capacity and how to price services is a significant problem. This paper firstly reviews some research about pricing and capacity control, and then builds models relevant to consumers' reservation price and preferences, based on the assumption that customer arrival process is a Poisson process. Next expected revenue under different situations and solutions to it is presented. Finally, numerical examples are given to calculate the optical price and allocation as well as its expected revenue, so that relations between the optimal value, expected revenue and reservation price and preferences are verified. From the analysis the following conclusions are drew: l)The greater the customer subjective value variability of some service is, the higher its price and capacity allocation are; and the price of its substitute service will rise, but the capacity allocation of its substitute service will drop. 2) When the performance of some service is strengthened, its price will rise as well as its capacity allocation and expected revenue; and the price of its substitute service will rise, but the capacity allocation of its substitute service will drop. So service providers should strive to upgrade service performances.
机译:对于提供多种服务的网络空间租赁服务提供商,研究如何在固定的总容量上控制容量分配以及如何为服务定价是一个重大问题。本文首先回顾了有关定价和容量控制的一些研究,然后在假定顾客到达过程是一个泊松过程的假设的基础上,建立了与消费者的保留价格和偏好有关的模型。提出了在不同情况下的下一个预期收入及其解决方案。最后,通过数值算例计算了光学价格和分配以及其预期收益,从而验证了最优价值,预期收益,预订价格和偏好之间的关系。通过分析得出以下结论:l)某些服务的客户主观价值可变性越大,其价格和容量分配就越高;替代服务的价格将上涨,但替代服务的容量分配将下降。 2)当某些服务的性能得到增强时,其价格以及容量分配和预期收入都将上升;替代服务的价格将上涨,但替代服务的容量分配将下降。因此,服务提供商应努力提升服务性能。

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