Multicloud Deployment Scoring for Proactive Sustainability Planning

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Solution Overview

Problem

Existing cloud computing deployment approaches are reactive and do not allow for proactive environmental sustainability assessment, making it difficult to change deployments after initial setup and preventing dynamic adjustments to reduce carbon footprint.

Innovation Solution

A system and method for generating proactive cloud deployment plans based on sustainability criteria, performance indicators, and historical data, allowing for dynamic adjustments and optimizations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If reactive deployment approaches are used, then initial cloud computing setup is straightforward, but dynamic adjustments to reduce carbon footprint become difficult

Engineering Contradiction:

Improveability to adjust deployment dynamicallyVSAvoiddeployment plan generation system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by generating comprehensive deployment plans before actual cloud computing deployment occurs. The deployment plan includes pre-determined configuration factors, sustainability scores, and migration strategies that enable proactive environmental sustainability assessment rather than reactive adjustments after deployment.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring cloud computing operations and comparing them against environmental sustainability criteria. The system generates notifications about changes in operations or sustainability levels, enabling dynamic adjustment of deployment configurations to optimize carbon footprint while maintaining adaptability.

Inventive Principle:

Principle #23Feedback

2Object-affected harmful factors

If sustainability criteria are applied to all cloud deployments, then environmental sustainability is improved, but deployment decision-making complexity increases

Engineering Contradiction:

Improvecarbon footprintVSAvoiddeployment decision-making process

Core Design Contradiction:

Object-affected harmful factorsVSEase of operation

Solution Approach 1:

The system changes parameters by transforming complex sustainability assessments into quantifiable sustainability scores and configuration factors. These parameters are integrated into deployment decisions through automated scoring mechanisms that evaluate cloud computing operations against environmental sustainability criteria, making the decision-making process more structured and less complex.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system introduces an intermediary layer in the form of a deployment plan generation system that mediates between sustainability criteria and deployment decisions. This intermediary processes sustainability requirements, historical data, and operational parameters to generate actionable deployment plans, simplifying the decision-making process while maintaining sustainability focus.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If historical data is used for deployment planning, then sustainability optimization is improved, but data processing and analysis complexity increases

Engineering Contradiction:

Improvedeployment optimization efficiencyVSAvoiddata processing system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary data processing by pre-analyzing historical sustainability data and incorporating it into deployment plan templates. This preliminary action prepares the data in advance for use in generating deployment plans, reducing the computational burden during actual deployment decisions while maintaining optimization efficiency.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses copying by creating deployment plan templates based on historical successful deployments and sustainability performance. These templates can be replicated and adapted for new deployments, reducing the need for complex data processing from scratch while maintaining optimization based on historical patterns and performance.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250356367A1Flexible scoring mechanism for enabling sustainable deployments in multicloud

Publication Date: 2025.11.20 DELL PROD LP

AI summary

Described is technology that facilitates refreshing of cloud computing equipment in accordance with a deployment plan to satisfy specified environmental sustainability criteria. An associated method comprises identifying, by a system operatively coupled to at least one processor, a change to use of a first cloud computing system, and based on the identifying, generating a deployment plan applicable to cloud computing at the first cloud computing system or at a second cloud computing system, wherein the deployment plan comprises configuration factors that define operation of the first cloud computing system or the second cloud computing system to satisfy specified environmental sustainability criteria.