Research And Simulated Implemention Of Resource Reserving Strategy In Cloud Bank Model

With the development of cloud computing technology,more and more cloud computing service providers have begun to emerge,providing cloud computing services to the public,making the cloud computing technology in the way of commercial operation gradually mature.Research of cloud computing resources management,pricing,scheduling and other issues has become hot in recent years.More and more scholars borrowed economic models and theories to solve the problems of resource-related in cloud computing,and have put forward various market-oriented models of cloud resource management.The cloud bank model draws lessons from the operation of financial commercial banks,draws resources from the resource providers and stores them,and rents the stored resources to the resource consumers who needthem to manage and make price to resource providers and consumers seperately.Based on the cloud bank model,this thesis puts forward the problem of resourcereserving in cloud bank model,that is,what kind of resources should the cloud bank absorb from the providers to meet the demands of consumers in the future market,how to control the amount of cloud bank deposit and leasing of resources,and how to store resource combination.In this thesis,the author proposes a resource reserving strategy in cloud bank model,in order to solve the problem of resource reserving in cloud bank model.This thesis analyzes the characteristics of resource usage in cloud bank model environment,summarizes the two different points between the storage resource of the cloud bank and the storage money of the commercial bank,and puts forward that the cloud bank storage resource should be a fixed resource combination as the basic unit.At present,some scholars use the method of adjusting interest rate of financial commercial banks,and put forward the price adjustment algorithm of the existing cloud bank model.This thesis analyzes the shortcomings of the price adjustment algorithm applied to existing cloud bank model.Based on the above analysis,a model of cloud bank resource reserve system is proposed.Based on this model,the concept of resource popularity and the calculation method and prediction algorithm of resource popularity value are proposed,which can make the bank reserve resources to meet future market demands.In this thesis,the resource pool is divided into several sub-resource pools according to the resource popularity value,and the price adjustment algorithm of the existing cloud bank model is improved,which can control the price margin and apply to the partitioned Sub-resource pool,to solve the issue of cloud bank resource reserving on how to control the amount of cloud bank deposits and the amount of leased out.In this thesis,the algorithm of predicting the popularity value of resource is experimented and the validity of the algorithm is verified.Then through simulating the resource storage-and-rent process of the partitioned resource pool in the model of the cloud bank resource reserving system,the comparison of the experimental results shows the deficiency of the existing price adjustment algorithm applied to existing cloud bank model,and validates the improved algorithm in the partitioned resource pool.