With the rapid development of the Internet and mobile Internet, the public security industry has generated more and more massive data. Corresponding cross-regional, multinational crimes of rogue crimes, and the use of the Internet to implement "off-site" crimes, etc., are increasingly increasing, and various unrest factors such as online rumors and social conflicts have appeared. In the face of these new types of crimes and the threats to social security, the traditional methods of policing obviously fail. The traditional policing methods have such problems as low work efficiency, insufficient response to emergencies, poor coordination and cooperation between regions and police and police officers, lack of information sharing, and lack of deep mining. How to find out the hidden dangers of security and the signs of crime at the first time, how to lock in the target for the first time, and the implementation of strikes pose new challenges to the policing work. Faced with the new situation and new tasks, we must closely follow the ideology of policing led by big data, build a police cloud platform that serves the entire police, and lead the innovation and development of police policing work with new technologies such as big data and cloud computing, and further improve maintenance. The level of social harmony and stability.
To build a police cloud platform that serves the entire police, mainly addressing the following needs:
Increase utilization of infrastructure resources
The overall planning of traditional hardware resources is insufficient, data center resources are used unequally, and two problems, namely insufficient resources and low resource utilization, coexist. Virtualization and cloud computing technologies are used to increase the utilization of infrastructure, and can be allocated on demand according to the needs of the application system, and horizontal expansion can be achieved. At the same time, the cost of post-maintenance and operation is avoided by centralized operation and management, which helps to save investment.
Deep data mining application
Public security data includes structured data and unstructured data, which are located in different police types and stored in different databases. How to reasonably store, analyze, and utilize these data resources, and implement the combined investigation and investigation of multi-library trajectories through various types of data resources, intensive cloud computing, and big data technologies, and gradually move the single platform trajectory to the grid and multi-level The expansion of the model and the ability to extend this application to the grassroots level is a top priority in the construction of public security police cloud platforms.
Operation and maintenance capabilities
The police cloud data center should provide a capability for automatic operation and maintenance. Through the unified management of the resources of multiple data centers, the resources required by the business can be allocated and dispatched in a rational manner. At the same time, it provides the ability to centralize and maintain the IT infrastructure of multiple data centers, automatically monitor the events, alarms, and performance of various IT equipment in the data center, and realizes the ability to operate and maintain from the business latitude.
Safety capability
The police cloud data center should provide a secure management capability. When the application system fails, it can automatically switch according to the required resources without affecting the normal operation of the system.

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