Traffic Optimization Module With Adaptive Cache Line Restructuring
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Solution Overview
Problem
Existing methods for managing traffic in 5G communication systems face inefficiencies in resource utilization and increased costs due to inefficient packet processing, particularly in varying traffic situations, leading to suboptimal performance and rapid resource expansion needs.
Innovation Solution
A traffic optimization module that includes a profile management component and a data restructuring component to manage profiles, allowing for data restructuring based on traffic history information, identifying optimal profiles, and updating cache lines to enhance packet processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional packet processing methods are used in 5G communication systems, then implementation is straightforward, but resource utilization is inefficient and costs increase
Solution Approach 1:
The patent implements dynamic cache line restructure based on traffic history information. The system monitors traffic patterns and dynamically adjusts cache line configurations to match actual traffic demands, transforming static cache structures into adaptive ones that optimize resource utilization efficiency while maintaining implementation feasibility through automated control mechanisms
Solution Approach 2:
The patent changes cache line parameters (size, organization, replacement policies) based on traffic history analysis. By adjusting cache line parameters dynamically according to observed traffic patterns, the system improves resource utilization efficiency without requiring complete redesign of the packet processing architecture
2Device complexity
If cache memory is not optimized, then packet processing is simpler, but processing performance decreases and resources expand rapidly
Solution Approach 1:
The patent performs preliminary analysis of traffic history information to predict future traffic patterns before actual packet processing occurs. By pre-configuring cache line structures based on historical data, the system prepares optimal cache configurations in advance, improving processing performance without adding complex real-time decision-making mechanisms
Solution Approach 2:
The patent implements a feedback mechanism where traffic history information is continuously monitored and used to adjust cache line configurations. The system learns from past traffic patterns and feeds this information back into cache management decisions, creating a self-optimizing system that improves performance while maintaining manageable complexity
3Ease of operation
If static profile management is used, then system operation is simpler, but performance is suboptimal in varying traffic situations
Solution Approach 1:
The patent transforms static profile management into a dynamic system that adapts to varying traffic situations. By introducing traffic history information as a basis for profile selection and cache configuration, the system automatically adjusts its behavior to match current traffic conditions while maintaining simple operation through automated decision-making algorithms
Data Source
AI summary
A traffic optimization module includes a profile management component and a data restructuring component, wherein the traffic optimization module is configured to receive, from the UPF, context information that is based on a traffic for a data packet being processed; update traffic history information stored in the profile management component based on the context information; determine whether to perform data restructuring that is based on the traffic history information or not by referring to the traffic history information stored in the profile management component; identify a profile that at least matches a target profile requested by the data restructuring component from among the plurality of profiles; restructure a data set included in the identified profile as a data set including data required for processing the context information; and provide the identified profile including the restructured data set to the profile management component.