Load Responsive Behavior Model for Infrastructure Management

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Solution Overview

Problem

Managers and administrators in electronic environments face difficulties in predicting the behavior of infrastructure components under different load conditions and correlating load patterns with infrastructure behavior, making proactive management challenging.

Innovation Solution

A computer-implemented method and system that collects transaction data to identify load patterns and infrastructure behavior patterns, creating a load responsive behavior model through normalization, clustering, and pattern sequencing techniques, which predicts infrastructure behavior and detects deviations from predicted behavior.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual detection methods are used to analyze load patterns and infrastructure behavior, then administrators can understand system behavior, but the process becomes time-consuming and inaccurate

Engineering Contradiction:

Improvedetection accuracyVSAvoidanalysis time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical analysis methods with automated computer-based algorithms. The system uses automated pattern recognition, correlation analysis, and prediction algorithms to detect load patterns and infrastructure behavior, eliminating the need for manual detection while improving both accuracy and speed of analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary automated analysis system that acts as a mediator between raw infrastructure data and administrator decision-making. This intermediary system automatically collects, processes, correlates, and presents infrastructure behavior data, saving time and improving detection accuracy by removing human error and bias from the analysis process.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive data collection and analysis is performed to predict infrastructure behavior, then prediction accuracy improves, but system complexity increases

Engineering Contradiction:

Improveprediction accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the infrastructure monitoring system into distinct functional modules: data collection module, pattern detection module, correlation analysis module, and prediction module. Each module handles a specific aspect of the analysis, making the overall complex system manageable and maintainable while achieving high prediction accuracy through comprehensive data processing.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a universal automated analysis system that can handle multiple types of infrastructure components (hardware, software, network) and various load conditions through a single integrated platform. This multi-functional system reduces complexity by providing a unified approach rather than requiring separate analysis tools for each infrastructure element.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If automated pattern recognition and correlation analysis are implemented, then proactive management capability is enabled, but computational requirements increase

Engineering Contradiction:

Improveproactive management capabilityVSAvoidcomputational resources

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent performs preliminary action by pre-processing and normalizing infrastructure data as it is collected, organizing it into standardized formats suitable for pattern recognition. This preliminary preparation reduces the computational burden during the actual pattern detection and correlation analysis phases, enabling proactive management capabilities while optimizing resource usage.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent transforms raw infrastructure data into standardized parameters and metrics that are more amenable to automated analysis. By changing the parameters from raw logs and metrics to normalized, structured data formats, the system reduces computational complexity while maintaining the ability to perform comprehensive pattern recognition and correlation analysis for proactive management.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11748227B2Proactive information technology infrastructure management

Publication Date: 2023.09.05 APPNOMIC SYST PTE LTD

AI summary

Disclosed herein is a computer implemented method and system for analyzing load responsive behavior of infrastructure components in an electronic environment for proactive management of the infrastructure components. Transaction data on multiple application transactions is collected. Load patterns are identified from the collected transaction data for generating load profiles. Data on infrastructure behavior in response to the application transactions is collected. Infrastructure behavior patterns are identified from the infrastructure behavior data for generating behavior profiles. The generated load profiles and the generated behavior profiles are correlated to create a load responsive behavior model. The created load responsive behavior model predicts behavior of the infrastructure components for different load patterns. A live data stream from current application transactions is analyzed using the load responsive behavior model to determine current load responsive behavior. Deviations of the current load responsive behavior from the predicted behavior are detected using the load responsive behavior model.