Cloud & Network Synergy

Accelerating ICT transformation and service innovation

Unified Data Storage and Management

ZTE CUDR(Cloud Unified Data Repository) solution realizes the unified storage and management of 2G/3G/4G/5G/IMS network subscriber data.

It supports two types of data:

1. Structured data, including 2G/3G/4G/5G and IMS subscriber subscription data, network exposure data, application data and policy data, etc.

2. Unstructured data, including service session data and subscriber state information, etc.

ZTE CUDR solution adopts cloud native and micro-service architecture, and supports the unified management and maintenance of structured and unstructured data. It realizes unified access control, unified distributed management and control, and unified data consistency maintenance functions.

It has the following advantages:

1. Highly reliable and secure, building a careless network.

2. Huge capacity, high performance, reducing CAPEX.

3. Unified management and maintenance, reducing OPEX.

4. Flexibility and Openness, increasing data value.

Solutions Advantages

Large Capacity and High Performance

Distributed massive storage
Core engine CACHE
High concurrent access

Automatic Operation and Maintenance

Data self-organization, self-planning
Automatic scalability and load balancing
Fault auto-detection and self-healing

Multidimensional Reliability Mechanism

Equipment/region level disaster recovery
N+K load sharing, geographic disaster recovery
Multi-copy backup of data, automatic online recovery

Customer Value

Separation of compute and storage, stateless service components

In stateless VNF, only the application service logic needs to be executed with fast scale-in/scale-out, improving performance and reliability;
Seamlessly and rapidly switchover of VNFs with "zero" data migration and service uninterruption.
Centralized data storage, simplifying the network

Data are stored centrally, to create a mass data storage database which is large capacity, high performance and high security;
Data consistency is guaranteed to avoid the inconsistency of data accessed by VNFs in Pool;
Data are fully shared, and VNFs and third-party network elements can access each other via standard interfaces;
Oriented to big data analysis, it provides abundant data sources for the big data analysis system.