Research On Resource Allocation And Pricing Mechanism In Cloud Environment

Cloud computing is a new archetype mixing the traditional technology such as network storage,parallel computing and load balancing.It has high reliability,high scalability and low cost of use and so on,which attracts more and more enterprises to join in the ranks of applications of cloud computing.Cloud computing achieves distributed network services,which takes the Internet as the carrier and is based on the virtualization technology.The service form can be divided into IaaS(infrastructure as a service),PaaS(platform as a service)and SaaS(software as a service),which mainly study IaaS.One of the key problems in cloud computing is the allocation of Virtual Machine(VM).Therefore,how to rationally and efficiently allocate the VM becomes the problem that needs to be studied at present.This thesis focuses on the allocation and pricing mechanism of cloud resources and the main work of thesis is as follow:(1)Firstly,we study the existing technical and theoretical knowledge of cloud computing and cloud resource allocation,analyses the problems of group purchase and auction,analyses the related knowledge of non-cooperative game theory,and analyses the Nash equilibrium and Nash equilibrium and Bertrand equilibrium in the classical model of Nash.(2)Secondly,we proposes a novel allocation and pricing mechanism when studying the auction model of cloud resource with time discounting values in cloud environment.The mechanism has some advantages over the existing mechanism in the experimental environment,so as to solve the problem of cloud resource group buying auction with time discount values.(3)Thirdly,we study the pricing strategy of cloud resources and propose a pricing strategy for cloud resource based on Bertrand model.We consider the case of a duopoly cloud provider.First of all,the two cloud providers do not use the group-buying strategy,then we establish a model and obtain a set of optimal Nash equilibrium solutions.Then,we discuss the pricing strategy of a cloud vendor using the buy strategy,and finally obtain the Nash equilibrium solution.