Intelligent Network Database Access via Service Control Function
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Solution Overview
Problem
The increasing volume of data in intelligent network service databases leads to performance bottlenecks, such as long response times and high storage loads, which existing solutions like hardware upgrades or resource duplication fail to address effectively, resulting in high costs and limited performance improvements.
Innovation Solution
A system comprising a service control function (SCF) and service data function (SDF) entities that dynamically select and associate user service data with specific database servers based on a database reset policy, optimizing data storage and access by distributing the data processing load across multiple servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hardware performance of the database server is improved, then data processing capability is enhanced, but system cost increases significantly
Solution Approach 1:
The patent divides the service database into multiple service database servers (first service database server, second service database server, etc.), each storing specific portions of service data. This segmentation allows the system to distribute data processing load across multiple servers rather than relying on a single high-performance server, thereby reducing the cost per unit of processing capability while maintaining overall system productivity.
2Productivity
If multiple intelligent network systems are deployed to share pressure, then performance bottleneck is relieved, but hardware resources are wasted due to duplication
Solution Approach 1:
The patent merges multiple service database servers into a single intelligent network system, allowing them to collectively handle service data storage and processing. The service control function entity coordinates access to these databases, enabling load distribution without requiring duplicate intelligent network systems. This combining approach achieves performance improvement while eliminating the hardware resource waste that would result from deploying multiple complete systems.
3Ease of operation
If service database stores all service data, then data access is simplified, but response time increases due to storage load
Solution Approach 1:
The patent segments service data across multiple service database servers, with each server storing specific portions of the data. The service control function entity intelligently routes access requests to the appropriate database server based on the service key and database reset policy. This segmentation reduces the storage load on any single database, thereby decreasing response time while maintaining simplified access through centralized control.
Solution Approach 2:
The service control function entity acts as an intermediary between the service requestor and the segmented service databases. It receives access requests, determines the appropriate database server using the service key and reset policy, and routes the request accordingly. This intermediary approach maintains ease of operation for end users while enabling efficient data access across distributed databases, reducing response time without complicating the access interface.
Data Source
Figure 1a~1b
Figure 2
AI summary
A system, device and method for accessing massive data in intelligent network service databases are provided. The system includes a SCF entity and a SDF entity. The SDF entity provides multiple service databases for storing massive service data of the same intelligent network system. The SCF entity connects with the multiple service databases; when a service establishes service data of a user, the SCF entity selects a specific service database according to service information of the user and a service key in accordance with a database reset policy, and stores the service data in the specific service database; when the user uses the service, the SCF entity associates with and locates the specific service database according to the service information of the user by using a method corresponding to the database reset policy; and the SCF entity interacts with the service database to accomplish the service function. The above function is implemented by a corresponding device in the SCF entity. The present invention utilizes distributed service databases to dispersedly store massive service data so as to share the access pressure, and thus the access performance of the service databases is improved.