Brew advanced and proficient-3G mobile value-added business operation, customization and development-15-brew highlights centralized distributed application management and content delivery

Source: Internet
Author: User

 

Centralized management is a large-scale central system with clients. All data is stored in the central system and managed by the database management system. All processing is done by this large system, the terminal is only used for input and output. The terminal does not perform any processing on its own, and all tasks are processed on the host. The main feature is that all data can be stored in one place. In distributed management, data storage and processing are performed on local workstations through the network, mainly for faster and more convenient data access. The advantage is that it can be accessed quickly and used by multiple users. Each computer can access the information files of other computers in the system. The system is designed with greater flexibility and can serve the special needs of users in independent computers, it can also serve the needs of networked enterprises to achieve communication between different computers in the system. Each computer can own and maintain the maximum data and files required; reduces data transmission costs and risks.

As an application management and content delivery system, brew uses many network and server technologies, such as server Load balancer, network security, and Web
Service technology. In terms of database technology, brew adopts centralized and distributed application management, which provides both central data warehouses and distributed databases. operators can flexibly deploy brew services. If telecom operators are small and want to reduce their operating costs, they can directly obtain virtual space on the central database to directly manage and organize applications. If telecom operators want to further strengthen their control over the industrial chain, they can establish their own databases to share the resources of the Central Data Warehouse and make full use of their own resources.

 

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