The Research Of Mapping The Cloud Resources Selection And Matching Method Based On The QoS

With the development of cloud computing, resource mapping and management becomes an important research issue,which mainly focuses on different programs to elect resource with the QoS.However, these works do not consider building the napping model from the QoS to resource in cloud and how the consumers get the ptimal resource,which are of great importance to achieve the on-demand service in loud. To tackle the above problems,this thesis researches on the mapping model rom the QoS to resource in cloud, and does some experiments.The specific works an be described as the following three aspects:(1)Based on the QoS indicators and the types of cloud service (SaaS,IaaS),this hesis builds the map model from the QoS to resource and the cloud resource capacity nodel.(2) This thesis proposes two different choice algorithms of cloud resource based in the demand of the QoS in cloud environment and map model in(1):one focuses n consumer demands of the QoS, and the other one focuses on the QoS provided by e cloud resource. This thesis not only identifies two different match algorithms of loud resource, but also proposes a self-organizing mapping study method of the loud resource. The cloud resource match algorithm is of two different kinds, one ocuses on sequential execution resource matching algorithm,and the other one ocuses on parallel execution resource matching algorithm.(3) The preliminary work is to simulate the methods in (2) by Matlab to prove he effectiveness. The following work is to simulate in the cloud environment of adoop supported by the Map Reduce.This thesis describes the process of realization between the QoS and the mapping methods.The experiments show that in the cloud environment, the cloud resource mapping and selection supported by the QoS have certain reference value to the further research and application.