Infrastructure Turbulence Evaluation for Resource Tuning

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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 system that uses a turbulence-based approach to determine and automatically implement infrastructure configurations that counterbalance anticipated future workloads, ensuring appropriate resource distribution and minimizing waste by transforming anticipated workloads into quantitative turbulence metrics to identify optimal resource allocations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If previous technology is used to manage computing resources, then current resource allocation can be maintained, but the system fails to anticipate future demand changes and cannot reliably evaluate effectiveness of new configurations

Engineering Contradiction:

Improvereliability of infrastructure configuration evaluationVSAvoidability to anticipate future demand changes

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary actions by simulating future infrastructure configurations before implementing them. The evaluation module creates virtual representations of planned configurations and tests them against anticipated demand scenarios, allowing stakeholders to assess effectiveness beforehand without actual implementation risks.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system establishes feedback loops where simulated configuration performance is measured against anticipated demand patterns. The evaluation module provides feedback on configuration effectiveness, identifying gaps between planned and required infrastructure capacity, and enabling iterative refinement of configuration plans.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If infrastructure configurations are frequently adjusted to meet changing demands, then resource availability can be improved, but system complexity and evaluation burden increase

Engineering Contradiction:

Improveresource availability for changing demandsVSAvoidcomplexity of infrastructure configuration management

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system creates copies of infrastructure configurations in the form of virtual models for simulation and evaluation. These virtual representations allow multiple configuration scenarios to be tested simultaneously without affecting actual infrastructure operations, simplifying the evaluation process while maintaining adaptability.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The evaluation system segments the infrastructure into manageable components and scenarios. The simulation module divides complex configuration evaluations into discrete test cases, each assessing specific aspects of infrastructure performance under different demand conditions, making the overall evaluation process more manageable.

Inventive Principle:

Principle #1Segmentation

3Loss of energy

If redundant or wasted resources are eliminated, then resource efficiency improves, but the risk of resource deficits increases

Engineering Contradiction:

Improveresource wasteVSAvoidrisk of resource deficits

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The system performs preliminary simulations of resource allocation scenarios to identify optimal configurations that balance efficiency and reliability. By testing multiple scenarios beforehand, the system determines the minimum sufficient resource allocation needed to meet anticipated demands without excessive redundancy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The evaluation module dynamically adjusts configuration parameters such as resource allocation levels, timing, and distribution patterns based on simulated performance data. This allows the system to optimize resource configurations by changing parameters to achieve the best balance between eliminating waste and maintaining adequate resources.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11616695B2System for evaluating and tuning resources for anticipated demands

Publication Date: 2023.03.28 BANK OF AMERICA CORP

AI summary

An infrastructure management subsystem receives a selection of a planned configuration of the computing infrastructure and a baseline demand that includes a current usage of computing resources of the computing infrastructure. 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 an effective turbulence for the planned infrastructure configuration. The effective turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure availability. The infrastructure management subsystem determines a configuration score corresponding to an extent to which the anticipated fluctuations in the effective turbulence destructively interfere with the anticipated fluctuations in the anticipated turbulence.