| With the rapid development of enterprise-scale and the application volume of business, the decentralization of services terminal is a developing trend. It is very important to adopt an effective method, which can manage and control the operational status of terminals and the usage of information. Therefore, the decentralization of services terminal has a great theories significance and application value.With the issue of remote terminal management and control as the object for study, the dissertation studies and discusses the design of remote terminal management and control systems, combining with practical application demand based on the research and application of remote terminal management and control system at home and abroad. In addition, the dissertation also studies the client and mechanism of cloud platform, data center and big data storage what the remote terminal management and control system will involve. The main research contents are as follows.First of all, combining with the background of application, it mainly analyses the value of research topic, and introduces the development of the remote terminal management and control system.Secondly, based on the cloud desktop environment, the dissertation designs a control system which can manage the remote terminal device. The control system adopts the client and mechanism of cloud platform, hosting user desktops to a unified data center. The method can turn from the application and data transmission between the remote terminals and core business servers to between with the remote terminals and the cloud desktop servers. Then the control system transmits the application and data to the core servers, to achieve the monitor and maintain of services, applications and performance on clients.Next, aiming at the problems of big data storage based on datacenters, the dissertation gives an effective method for big data storage, which adopts the mixed storage mode of OLTP and OLAP. According to the feature of sparse and dense, it could choose a row or column storage format dynamically, to implement dynamic data storage. Therefore, this study provides a method of data storage for big data processing.Finally, the dissertation separates the application and operating system through the centralized management of application. The method can improve the availability and standardization, reduce the costs and the complexity of maintenance, while make it easier to the system of installation, debugging, management, maintain and upgrade, and reduce the workload of manager and the cost of maintenance. |