基于双层随机规划的云监控平台定价策略

摘要

Pricing is a key decision of enterprise operation. As a new industry, the cloud service has not yet formed a unified pricing standard. Aiming at the pricing problem of cloud monitoring service platform, this paper analyzes the interest relationship between providers of cloud monitoring service and customers, establishes a two-stage dynamic game model, and extracts the core parameters and variables for the target of profit maximization. This paper also takes into account the uncertainty of equipment failure and production loss, and constructs a bilevel stochastic programming model, then a new algorithm combined with pole search method is proposed to find the global optinal solution. Finally, an example is given to demonstrate the model effectiveness. The computation results show that the profit of the provider is increasing with the increase of the number of customers. At the same time, the multi-type service mode will help the service provider increase its profit to a certain extent. By adjusting the pricing strategy, the platform makes most customers purchase the basic service type and the remaining customers choose the deep service, often optimizes the profits of service providers. ? 2020, Science Press. All right reserved.

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