Network Node Control Device for Traffic-Based Resource Allocation
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Solution Overview
Problem
Existing network node management techniques fail to accurately determine equipment needs based on communication traffic characteristics, leading to performance degradation and instability in signal processing.
Innovation Solution
A control device and method that collect traffic data to extract traffic feature values, such as burstiness indices, to calculate the required resources for network nodes, enabling appropriate resource provisioning and improving stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the amount of equipment at virtual call processing nodes is determined based on CPU usage rate or number of terminals, then resource acquisition is enabled and equipment use efficiency is increased, but performance degradation occurs in signal processing and stability of network nodes deteriorates
Solution Approach 1:
The patent changes the parameters used for resource determination from simple metrics (CPU usage rate, number of terminals) to comprehensive traffic characteristics (traffic volume, traffic type, traffic pattern, burstiness). This allows the system to adapt resource allocation to actual traffic conditions, improving both efficiency and stability simultaneously
Solution Approach 2:
The patent implements feedback mechanisms where traffic characteristics are continuously monitored and used to dynamically adjust resource allocation. The system collects traffic data, analyzes characteristics, and adjusts equipment amounts accordingly, creating a closed-loop control system that maintains stability while optimizing efficiency
2Reliability
If the amount of equipment is increased to prevent performance degradation, then signal processing performance is maintained, but resource waste occurs and equipment use efficiency decreases
Solution Approach 1:
The patent makes equipment allocation dynamic by continuously monitoring traffic characteristics and adjusting resource amounts in real-time. Instead of static over-provisioning, the system adapts equipment levels to match actual traffic demands, maintaining performance while avoiding waste during low-traffic periods
Solution Approach 2:
The system changes from fixed equipment allocation to parameter-based dynamic allocation, where equipment amounts are adjusted based on traffic volume, traffic type, and traffic pattern parameters. This allows optimal resource utilization across varying conditions
Data Source
AI summary
To reduce the signal processing performance degradation of a network node and/or to enhance the stability of the network node based on an appropriate estimate of equipment quantity in relation to communication traffic, a control device according to an embodiment of the present invention includes a first means for collecting, from a network node that processes traffic, traffic data that is information about the traffic and a second means for extracting, from the collected traffic data, a traffic feature value including the degree of the variation of the traffic. On the basis of the extracted traffic feature value, the second means calculates the amount of resources necessary for the network node to process the traffic.