Data Classification for Shared-Bandwidth Rate Control
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Solution Overview
Problem
In data communication, there is an upper limit to available communication resources, necessitating efficient division to transmit data effectively.
Innovation Solution
An information processing device and system that classify data into groups based on communication resource sharing states and set target transmission rates for each group, utilizing a controller to manage bandwidth allocation and control transmission rates dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If communication resources are divided to transmit multiple data simultaneously, then data transmission capacity is improved, but resource allocation efficiency deteriorates due to limited available communication resources
Solution Approach 1:
The patent segments data into different groups based on communication requirements and resource sharing states. By dividing data into multiple groups with different priority levels and transmission rate requirements, the system can allocate communication resources more efficiently to each group, thereby increasing overall data transmission capacity while maintaining resource efficiency.
Solution Approach 2:
The patent applies local quality by assigning different target transmission rates and resource allocation strategies to different data groups based on their specific requirements. High-priority data receives higher transmission rates and preferential resource allocation, while low-priority data receives standard allocation, optimizing overall resource efficiency while meeting diverse transmission needs.
2Loss of energy
If target transmission rates are set dynamically for each data group, then resource allocation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-defining multiple groups with predetermined target transmission rates and resource allocation rules. This allows the system to efficiently manage communication resources by automatically assigning data to appropriate pre-configured groups, reducing real-time decision complexity while maintaining dynamic resource allocation efficiency.
Solution Approach 2:
The patent uses parameter changes by adjusting target transmission rates as controllable parameters for different data groups. By changing these parameters dynamically based on network conditions and data priorities, the system achieves efficient resource allocation without requiring complex control mechanisms, as the parameter adjustments follow predefined rules and algorithms.
3Reliability
If communication resources are allocated to prioritize important data, then data transmission quality is improved, but overall resource utilization deteriorates
Solution Approach 1:
The patent implements dynamics by making target transmission rates and resource allocation strategies adjustable and adaptable. The system can dynamically change allocation priorities based on real-time network conditions, data importance levels, and resource availability. This allows important data to receive preferential treatment when needed while ensuring that overall resource utilization remains optimized through flexible adjustment of allocation policies.
Data Source
AI summary
An information processing device (500) includes a data classification unit (503) and a target transmission rate setting unit (504). The data classification unit (503) classifies a plurality of pieces of data transmitted via a network (300) into one or more groups based on a sharing state of a communication resource between the data. The target transmission rate setting unit (504) sets, for each group, a target transmission rate of each data belonging to the group based on a setting reference of the target transmission rate defined for each group.