Network QoS Optimization via Automated Traffic Pattern Analysis

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Solution Overview

Problem

Current computer network configurations for distributed real-time applications require manual optimization by human administrators to improve Quality of Service (QoS) parameters such as communication latency and jitter, which is inefficient and prone to errors.

Innovation Solution

A method and device that automatically monitor traffic patterns, extract relevant parameters, and optimize network configurations to improve QoS by converting unsynchronized communication paradigms to time-triggered communication, involving modifications in message priorities, routes, encryption, and communication speed, without human intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual configuration by human administrators is used to optimize network Quality of Service, then configuration accuracy can be maintained, but efficiency decreases and errors increase

Engineering Contradiction:
Improveconfiguration efficiencyVSAvoidmanual intervention level
Core Design Contradiction:
ProductivityVSExtent of automation

Solution Approach 1:

The system enables self-service through automated QoS parameter optimization. The processor automatically monitors traffic patterns, extracts relevant parameters, and modifies network configurations without requiring human administrator intervention. The system serves itself by detecting traffic patterns and autonomously adjusting routing, prioritization, and other QoS parameters to optimize performance.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring actual traffic patterns and using this information to adjust network configurations. The processor extracts QoS parameters from monitored traffic and uses this feedback to automatically modify network settings, creating a closed-loop system that adapts to changing network conditions without manual intervention.

Inventive Principle:
Principle #23Feedback

2Reliability

If automated monitoring and analysis of traffic patterns is implemented, then QoS optimization improves, but system complexity increases

Engineering Contradiction:
ImproveQoS parameter optimizationVSAvoidsystem structure complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by implementing a universal processor that performs multiple tasks: monitoring traffic patterns, extracting QoS parameters, analyzing traffic characteristics, and automatically modifying network configurations. This single multi-functional component replaces what would otherwise require multiple separate systems, reducing overall complexity while maintaining comprehensive QoS optimization capabilities.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Loss of time

If time-triggered communication paradigm is applied to periodic traffic, then communication latency and jitter are reduced, but configuration complexity increases

Engineering Contradiction:
Improvecommunication latency and jitterVSAvoidconfiguration complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system applies parameter changes by automatically modifying network configuration parameters such as routing paths, message priorities, and transmission timing based on extracted traffic pattern analysis. When periodic traffic is detected, the processor changes these parameters to implement time-triggered communication, reducing latency and jitter while the system manages the configuration complexity through automation.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP3216169B1A method to improve the quality of service in a computer network
Publication Date: 2019.02.13 TTTECH COMPUTERTECHNIK AG
  • EP3216169B1 patent drawingFigure 1
  • EP3216169B1 patent drawingFigure 2
  • EP3216169B1 patent drawingFigure 2a

AI summary

A method to improve the quality of service in a computer network consisting of nodes and starcouplers and/or access points and wireless and/or wired connections, by changing a current configuration (CUR_CONF) of the computer network to a new configuration (NEW_CONF) of the computer network, whereby - the computer network in the current configuration (CUR_CONF) communicates one message or a multitude of messages (1101a, 1101b, 1101c, 1102a, 1102b) and - a monitor (M) observes at least some traffic pattern (TP) that the message or multitude of messages (1101a, 1101b, 1101c, 1102a, 1102b) generate and - an extractor (E) formulates the traffic pattern (TP) of the message or multitude of messages (1101a, 1101b, 1101c, 1102a, 1102b) and - the extractor (E) following said analysis generates one or many traffic parameters (T_PAR) to the message or multitude of messages (1101a, 1101b, 1101c, 1102a, 1102b) and - an optimizer (O) uses the traffic parameters (T_PAR) to generate the new configuration (NEW_CONF) and/or to generate recommendations (RECOM) for a new configuration (NEW_CONF).