Infrastructure Management Subsystem Balancing Anticipated Demand Turbulence

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Solution Overview

Problem

Existing computing infrastructure management technologies are inefficient and unreliable in anticipating and adapting to changing demands, failing to ensure adequate resource availability and wasting resources due to inadequate infrastructure configuration adjustments.

Innovation Solution

A turbulence-based approach is implemented to determine and automatically adjust infrastructure configurations, balancing anticipated workloads by reallocating resources such as processing, memory, and networking resources, ensuring efficient resource utilization and minimizing waste.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional infrastructure management technology is used, then current resource allocation can be maintained, but future infrastructure demands cannot be anticipated and met reliably

Engineering Contradiction:

Improvereliability of meeting future infrastructure demandsVSAvoidability to anticipate and adapt to changing demands

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary actions by determining anticipated future infrastructure demands and calculating counter-balancing configurations before the actual demand occurs. The infrastructure management subsystem proactively identifies resource allocation strategies that will meet future needs, rather than reactively responding to current demands. This allows the system to prepare and implement pre-calculated configurations that reliably meet anticipated future infrastructure requirements.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements dynamic adaptability by continuously monitoring current infrastructure usage and recalculating counter-balancing configurations as demands change. The turbulence-based approach allows the system to dynamically adjust resource allocation strategies based on fluctuating demands, transforming the static traditional management approach into a dynamic system that can anticipate and adapt to changing infrastructure requirements over time.

Inventive Principle:

Principle #15Dynamics

2Productivity

If infrastructure configurations are optimized for current demands, then current efficiency is improved, but future demand fluctuations cause resource deficits or waste

Engineering Contradiction:

Improveinfrastructure resource utilization efficiencyVSAvoidadequacy of resources for future demands

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system applies preliminary anti-action by calculating counter-balancing configurations that anticipate future demand fluctuations and pre-position resources to counteract expected deficits. Instead of simply optimizing for current efficiency, the system proactively identifies and prepares counter-balancing strategies that will offset future demand variations, ensuring both efficiency and adequacy are maintained across different time periods.

Inventive Principle:

Principle #9Preliminary anti-action

Solution Approach 2:

The system changes key parameters by transforming the resource allocation problem into a turbulence-based mathematical model. By representing infrastructure demands and configurations as mathematical parameters and using turbulence calculations, the system can determine optimal counter-balancing configurations that simultaneously improve productivity and ensure reliability for future demands.

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If manual infrastructure configuration evaluation is performed, then configuration decisions can be made, but the process is time-consuming and lacks reliability

Engineering Contradiction:

Improvesimplicity of configuration evaluationVSAvoidtime required for configuration evaluation

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system replaces manual mechanical evaluation processes with an automated mathematical turbulence-based calculation system. Instead of relying on human analysts to manually evaluate infrastructure configurations, the system uses automated algorithms that calculate counter-balancing configurations based on mathematical models of future demands, dramatically reducing evaluation time while improving reliability through consistent automated calculations.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The infrastructure management subsystem performs self-service by automatically determining anticipated demands, calculating counter-balancing configurations, and implementing resource allocation strategies without requiring continuous manual intervention. The system serves itself by autonomously monitoring current usage, predicting future needs, and adjusting configurations based on its own internal mathematical models.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11704609B2System for automatically balancing anticipated infrastructure demands

Publication Date: 2023.07.18 BANK OF AMERICA CORP

AI summary

A system includes a controller device and an infrastructure management subsystem. The controller device receives a selection of an anticipated future change to one or more characteristics of a baseline demand. The infrastructure management subsystem receives the baseline demand and the anticipated future change to the one or more characteristics of the baseline demand. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines a counter-balancing turbulence for the anticipated turbulence. The counter-balancing turbulence comprises counter-balancing fluctuations that destructively interfere with the anticipated fluctuations of the anticipated turbulence. The infrastructure management subsystem determines one or more infrastructure configurations indicating a distribution of computing resources amongst users in order to achieve the counter-balancing turbulence. One of the determined infrastructure configurations is automatically implemented.