Policing Big Data

Huawei teams with ecosystem partners to provide an end-to-end policing Big Data solution for public security customers. This solution supports efficient and intelligent crime investigation, prevention, and control, enabling the transition from conventional policing to intelligent policing.
Solution Advantages
  • Rapid Deployment and Centralized Management

    Supports on-demand resource use right out of the box, enabling fast service rollout. Compute, network, and storage resources are centrally managed for unified and easy O&M.

  • High Security and Reliability

    Supports isolation of physical resources from logical ones and integrated security protection for hardware and software, helping public security customers focus on core service development.

  • Open Architecture, Easy-to-Migrate

    Leverages the OpenStack-based architecture and Hadoop Big Data ecosystem to provide strong system portability and compatibility, ensuring services can be put online without code modification.

  • Superb Performance and Experience

    Utilizes the commercial Big Data suite to ensure rapid processing for massive amounts of data, and harnesses multi-algorithm models to easily match data analysis and mining requirements.

Business Challenges
  • Slow Capacity Expansion

    Public security services are complex and involve diverse systems. As data volumes grow, data sources are gradually enriched with constant upgrades to data application systems, requiring better underlying IT systems with larger capacities, which cannot be met by conventional IT architectures.

  • Cumbersome Data Processing

    With the development of Internet of Things, video networking, and multi-source data collection in the public security industry, public security systems must converge massive amounts of structured, semi-structured, and unstructured data. Conventional IOE architectures cannot handle the challenges of large-scale distributed data processing at low costs.

  • Inefficient Real-time Data Analytics

    The focus of public security customers has shifted from post-event analytics to early-warning and in-event control, so public security systems have demanding requirements for real-time data processing and analytics.

  • High Security Demands

    Public security services have different confidentiality and security compliance requirements, which demands a cloud platform with more powerful security assurance capabilities, such as solution design, evaluation, maintenance, and response.

Solution Architectures

Description

Based on its commercial Big Data services, Huawei teams with ecosystem partners to provide an end-to-end policing Big Data solution for public security customers. This solution supports efficient and intelligent crime investigation, prevention, and control, enabling the transition from conventional policing to intelligent policing.

Highlights

  • Superb performance and rapid analytics
  • Open-source flexibility
  • Elastic scaling
  • Simplified management
  • Quick deployment
  • Comprehensive security protection
  • Physical and logical isolation
Partners

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