Springer Science+Business Media
Promoted by the leading industrial companies, cloud computing has gained widespread concern recently. With an increasing number of Cloud Service Providers (CSPs) delivering services to customers from the cloud, maximizing the profits of CSPs becomes a critical problem. Existing approaches are difficult to solve the problem because they do not make full use of temporal price differences. This paper introduces a dynamic virtual resource renting approach that attempts to dynamically adjust the virtual resource rental strategy according to price distribution and task urgency. Considering task urgency and price distribution, they design a weak equilibrium operator to calculate the acceptable price for each type of virtual resource.