QoS aware dynamic pricing and scheduling in wireless cloud computing

This paper considers the Quality-of-Service (QoS) aware pricing and scheduling problem in wireless cloud computing, where the service provider provides a set of services to users through wireless communication. In this process, the provider announces a price for each service according to the system state and queue length. By collecting the service demand from users and observing the system state, the provider allocates some resources to serve the demand. Due to the dynamic of both the demand and system state, it is hard for the provider to make price and schedule the resources optimally. This paper first formulates the problem as a mathematical model. Then, it proposes the QoS aware dynamic pricing and scheduling algorithm (QDPSA). The QDPSA algorithm only depends on the current system state and queue length and can maximize the average profit of the operator. Simulations show that we can get better tradeoff between the profit and queue length through setting a control parameter. In addition, our results also demonstrate that the service with higher value of QoS coefficient can achieve shorter queue length, i.e. shorter response time.