Cloud Bank Model Pricing Strategy Based On The Principles Of Particle Swarm Computing Resources

With the social and economic development, in all areas of real life requires a computer to have a more powerful computing capability, and can be more effective and rapid for integrating resources. Therefore, cloud computing brought a revolution in computational science. Cloud computing can help improve the ability of scientific computing and business computing. It has a crucial role for enhancing the country's overall competitiveness. The ultimate goal of cloud computing is the sharing of resources and services. So it is an important problem that how to pricing and allocating cloud computing resources.The focus of this paper is to discuss cloud computing resource pricing. Defines three main roles involved in the transaction in order to discuss the process of resource transactions:resource providers, the cloud bank, resource consumers. Resource providers to provide resources for the cloud bank, cloud bank to develop specific rules of resource allocation and pricing, resource consumers provide application request. At first, introduction of economics can reflect the dynamic changes in resource supply and demand. It provides the most reliable basis for the development of resource prices. Besides, in this paper, under the background of the cloud bank model, we give out the computing resource pricing strategy based on particle swarm optimization. The strategy used to complete the computing resources pricing in the stable phase of the operation cycle of the cloud bank. The price is automatically updated with time. It excluded anthropogenic interference factors, and ultimately to achieve the interests of all parties to maximize. Finally, this paper used CloudSim to do a simple experiment for proposed pricing strategy. It can verify that the pricing strategy can help simulate the computing resources prices automatically adjust under the conditions of the general market price.