User Data Allocation Across Multiple Systems to Prevent 5G Overload
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing user data systems in 5G networks face issues with overloaded states leading to failures in processing number-related services due to allocation in units of user number segments, affecting 2/3/4G users as well.
Innovation Solution
A user data system management method that allocates user data across multiple systems based on load parameters to maintain load thresholds below a certain level, ensuring all systems operate efficiently by sharing processing burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If user data is allocated in units of user number segments to a single user data system, then the system structure is simple, but the system becomes overloaded and cannot process number-related services
Solution Approach 1:
The patent segments user data allocation by introducing multiple user data systems (first user data system, second user data system, etc.) instead of relying on a single system. Each system can be independently managed and scaled, distributing the load across multiple entities while maintaining simple individual system structures. This resolves the contradiction by dividing the monolithic system into modular components.
Solution Approach 2:
The patent combines multiple user data systems to work together as a unified infrastructure for handling number-related services. By merging the capabilities of multiple systems, the overall service processing capability increases while individual systems remain manageable in size, avoiding overload conditions.
2Ease of operation
If all user data is concentrated in one user data system, then data management is straightforward, but the system becomes overloaded and services fail
Solution Approach 1:
User data is segmented across multiple user data systems rather than concentrated in one. Each system manages a portion of the user data, maintaining operational simplicity within each system while collectively handling larger volumes of data and higher service throughput across the distributed architecture.
Solution Approach 2:
The patent transitions from a single-dimension (single system) data management approach to a multi-dimensional distributed approach. Data is allocated across multiple systems based on load parameters, adding the dimension of distribution while maintaining management simplicity through standardized allocation mechanisms.
3Use of energy by moving object
If user data systems operate at high load capacity, then resource utilization is maximized, but service processing fails when load threshold is exceeded
Solution Approach 1:
The patent implements dynamic load parameter monitoring and adaptive data reallocation between user data systems. When load thresholds are approached, the system dynamically adjusts data distribution to maintain service availability. This allows resources to be utilized接近 capacity while automatically preventing overload conditions that would cause service failures.
Solution Approach 2:
The system continuously monitors load parameters of user data systems and uses this feedback to make real-time allocation decisions. When a system approaches its load threshold, the feedback mechanism triggers data reallocation to other systems, ensuring service availability is maintained while maximizing overall resource utilization across the distributed infrastructure.
Data Source
Figure 1~3
Figure 4~6
Figure 7
AI summary
A user data system management method, a communication device, and a storage medium. The user data system management method comprises: obtaining a load parameter of each of a plurality of user data systems (S100); and allocating user data in the plurality of user data systems according to load parameters, so that the load parameters are less than a load threshold (S200).