RAM Database Allocator for Mobile Operator Data Distribution
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Solution Overview
Problem
Large-scale mobile operator databases face challenges in managing vast amounts of data in real-time, particularly in providing services and analyzing subscriber behavior, as existing database systems based on clusters have reached their limits in terms of performance and fault tolerance.
Innovation Solution
A database system is proposed that distributes data across multiple computing devices with random access memory, using an allocator to organize data into chunks and define sequences for master and slave spaces, ensuring data replication and fault tolerance, allowing for high performance and load distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If database systems use increasingly powerful clusters to manage large-scale data, then data processing capacity is improved, but system complexity and cost increase beyond sustainable limits
Solution Approach 1:
The database system is segmented into multiple independent computing devices, each handling a specific portion of the data. The allocator divides the database into chunks and distributes them across devices, allowing parallel processing without centralized complexity. Each device operates independently with its own RAM, eliminating the need for complex inter-device communication protocols while maintaining high throughput.
2Quantity of substance
If database systems increase cluster size to handle more data, then storage capacity is improved, but fault tolerance reaches diminishing returns
Solution Approach 1:
Each computing device is designed with local quality characteristics - sufficient RAM to hold its assigned database chunks in memory for fast access. The allocator ensures that critical data is replicated across multiple devices, but each device maintains optimal local resources rather than requiring uniform high capacity across the entire cluster. This localized resource allocation achieves fault tolerance without requiring excessive total capacity.
3Speed
If database operations require real-time access to all subscriber data, then service responsiveness is improved, but data access complexity increases
Solution Approach 1:
The allocator pre-organizes database data into chunks and distributes them to computing devices before operations begin. Each device loads its assigned chunks into RAM in advance, so when real-time operations occur, data is already available in memory without requiring complex lookup or transfer operations. This preliminary organization enables fast real-time access while keeping the access mechanism simple - devices only need to access their local RAM.
4Productivity
If the database is stored entirely in RAM across multiple devices, then access performance is improved, but data distribution and consistency management becomes complex
Solution Approach 1:
The allocator acts as an intermediary that manages data distribution and consistency across devices. It organizes chunks, assigns them to devices, and handles replication to critical and tolerance slave spaces. This centralized coordination layer simplifies the overall system by providing a single point of control for data management, while individual devices maintain simple local RAM storage without needing complex distributed data structure management.
Data Source
Figure 1~2
Figure 3
AI summary
A database system (2) stores a database in the random-access memory of a plurality of computer devices (4) by organizing an efficient and robust distribution.