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

Along with the popularity of cloud computing application, more and more companies began to build the cloud service platform. Cloud computing has the integration of computer resources for large complex data processing features, so major Internet companies much attention. Cloud computing is a commercial calculation model, it will be treated as distribution of computing tasks, enabling users to on-demand access to computing power, storage space and information services, this resource pool is called a "cloud". Due to the large amounts of data storage and a large number of cloud services platform access, especially if a large number of users per unit time data transmission and access, so the cloud service platform of the automatic distribution of resources, dynamically allocate the resource becomes the key to cloud service platform.This topic mainly combined with the project, realize the dynamic resource allocation of cloud service platform, and then develop a dynamic resource management system to supervise and control the resource monitoring. This topic mainly solve the following three questions: 1) After successfully build a cloud services platform, cloud services platform resource classification analysis of the situation, to achieve mastery of the two resources are not limited to a single level of resources, resources can be another story filled extension. 2) Analysis of resources to achieve dynamic provisioning, resource load balancing process server, and load balancing of each node cloud operating environment, as well as cross-platform switching.One of the core technology of cloud computing is to achieve the integration of a large number of resources, the use of resources to complete the integration of a single server is unable to complete the task. 3) the development of cloud services platform resource management system, to achieve a dynamic resource provisioning cloud services platform after the development of cloud services platform dynamic resource management system, the resources for effective management and monitoring. After the completion of the main issues above, with the resources to test tools to test whether the cloud service platform for dynamic provisioning.In this thesis, vSphere virtual infrastructure to build and run cloud environment CloudFoundry platform to build cloud services platform, and then the two platforms to achieve dynamic resource allocation, resources can switch between the two platforms to each other, and finally with a dynamic resource management system the entire cloud services platform for effective management and monitoring. The key technologies used are load balancing and virtual shared memory to achieve dynamic resource allocation, J2 EE and Web technologies to achieve a monitoring and management of resources. Load balancing is mainly run in a cloud environment, this level to address the problem of uneven load nodes, virtual shared storage cloud services platform to address the major resource limitations issue, dynamic resource entire cloud service platform.