A Cloud Computing Resource Pricing Strategy Research-Based on Resource Swarm Algorithm

Cloud computing arise as an efficient way to allocate resources for execution of task and services within a set of geographically dispersed providers from different organizations. In cloud computing, an IaaS computing model called Cloud Bank. Cloud Bank model [1] is an IaaS model on the basis of economics principal and cloud computing features. It can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. In Cloud Bank, pricing resources is the key problem. Client applications and services providers meet in Cloud Bank and negotiate for the sales of services by means of the signature of a service level agreement. This paper come up with a resource pricing strategy based on Resource Swarm Optimization to solve the problem of how to price computing resources in Cloud Bank model.