Research And Implementation Of Cloud Service Management Platform For Intelligent Terminal Applications

With the advent of the era of intelligent, human society get into a higher level ofinformation field, and the trend of terminal equipment became intelligence is becomingincreasingly obvious along with this development. End-to-end transmission ofinformation is no longer just text and images, as well as integrated video, audio, textand other content of multimedia communication services. In order to be able to getalong with the rapid expansion of the scale of the intelligent terminal equipment in dataprocessing and rapid increases in computing performance, storage capacity andcustomer demand hardware level, cloud computing services have emerged for smartterminal equipment. However, various forms of cloud computing services, which maybe combined with other more complex extension services, create difficulties for the useand management of the service. How to manage these different service models of cloudcomputing services, and guarantee the quality of service (QoS) of the cloud computingservices is a difficult problem.In order to solve the problems raised earlier, this thesis build cloud servicesmanagement platform for intelligent terminal system based on the requirement ofChanghong intelligent terminal-oriented enterprise cloud service management, andmake efforts to solve the following three questions:1)Build a PaaS cloud service system.From a technical standpoint, this thesis uses the vSphere virtualization solution as theinfrastructure layer and the open source cloud computing platform Cloud Foundry asthe platform services layer to build a cloud computing platform, and to establish aplatform for PaaS cloud service system.2)To improve load balancing mechanism of thecloud platform. Because of the multi-user problems of the Cloud platform, this thesispurposed an adaptive load balancing algorithm according to the overload degree of nodeand make adaptive load migration to solve the uneven load of the node, and makeexperiments to prove that it can effectively improve the load capacity of the cloudplatform.3)Monitoring and management of applications running. In this thesis, the data ofcloud platform resource usage and application run-time information is obtained by the Nats message mechanism and platform development interface of Cloud Foundry. Themanagement of platform services and applications can be developed through thereal-time data. Cloud service management platform uses B/S structure. User can usefunctions like service ordering, application release management, platform monitoringand other through the Web.In order to solve the challenges the enterprise faced in the cloud servicemanagement issues, this thesis build a cloud computing platform and design a PaaSservice model. Taking the characteristics that the large amount of users and dynamicresource scheduling of cloud computing into account,this thesis proposed an adaptiveload balancing algorithm to improve the capacity of the server load, which make cloudservices platform more higher utilization of system resources, and more stable operationof cloud applications. At last, this thesis designed the cloud service managementplatform for intelligent terminal to make test to verify the system feasibility of the cloudservice management platform.