Inferring Topological Linkages via Host Name Search

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Solution Overview

Problem

Tracking changes in the topology of computer systems is difficult due to frequent and major changes, making it challenging to maintain accurate topology models for IT management.

Innovation Solution

A system that uses existing data from source components, such as log messages and structured data, to infer topological linkages between components by searching for host names and updating the topology model in real-time, thereby minimizing additional computational overhead.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional topology tracking methods are used, then topology models can be maintained, but the difficulty of tracking changes increases due to frequent and major changes in topology

Engineering Contradiction:
Improveaccuracy of topology modelVSAvoiddifficulty of tracking topology changes
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by continuously monitoring and collecting host name data from log messages and structured data before topology changes become problematic. This proactive approach allows the system to detect and adapt to topology changes as they occur, maintaining model accuracy without requiring complex manual tracking interventions

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously comparing detected host names against the existing topology model and automatically updating the model based on detected changes. This closed-loop feedback system enables automatic adaptation to frequent topology changes, reducing the difficulty of tracking while maintaining reliability

Inventive Principle:
Principle #23Feedback

2Reliability

If real-time topology updates are implemented, then topology models remain up-to-date, but computational overhead increases

Engineering Contradiction:
Improveup-to-date status of topology modelVSAvoidcomputational overhead
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system extracts only the necessary information (host names) from log messages and structured data, rather than processing entire data sets. This selective extraction approach enables real-time topology updates with minimal computational overhead, as the system focuses only on the specific data elements that indicate topology changes

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system uses inexpensive, easily processable data representations such as host name strings and simple text patterns in log messages. These lightweight data objects can be quickly parsed and compared without requiring significant computational resources, enabling continuous real-time updates at low cost

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS11061944B2Inferring topological linkages between components
Publication Date: 2021.07.13 MICRO FOCUS LLC
  • US11061944B2 patent drawing
  • US11061944B2 patent drawing
  • US11061944B2 patent drawing

AI summary

In some examples, a host name that is known to correspond to a first source component may be identified. The host name may be searched in a second source component. A topological linkage may be inferred between the first and the second source component in response to finding the host name in the second source component.