Cloud Resource Budget Estimation from Anticipated Software Releases

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Solution Overview

Problem

Existing systems for estimating the cost of utilizing cloud resources are inaccurate and lack real-time financial monitoring, especially when new functionalities are developed, due to manual data entry and the dynamic nature of resource utilization.

Innovation Solution

A system and method that identifies relevant software tools associated with cloud resources, aggregates their programming data into a master dataset, extracts metadata, and uses a natural language model to generate query parameters for a pricing calculator to estimate costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If manual data entry is used to estimate cloud resource costs, then the process is simple to implement, but the accuracy of cost estimates deteriorates due to human error and incomplete information

Engineering Contradiction:

Improveease of implementationVSAvoidaccuracy of cost estimates

Core Design Contradiction:

Ease of manufactureVSMeasurement precision

Solution Approach 1:

The system enables self-service by automatically retrieving programming data from software tools and feeding it to the pricing calculator without requiring manual data entry. The pricing calculator itself performs the cost estimation by processing the retrieved data, eliminating the need for human intervention in data collection and calculation, thus maintaining simplicity while improving accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of data entry is replaced with an automated information system that retrieves data electronically from software tools and processes it through the pricing calculator. This substitution of manual operations with automated computational processes eliminates human error while maintaining ease of implementation through system automation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If manual cost estimation is performed periodically, then the process is simple to manage, but the timeliness of cost information deteriorates making it outdated for real-time decision making

Engineering Contradiction:

Improvecomplexity of managementVSAvoidtimeliness of cost information

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The system establishes continuous cost estimation by automatically retrieving programming data and generating cost reports on an ongoing basis rather than periodically. The pricing calculator continuously processes data from software tools, ensuring cost information is always current and available for real-time decision making without increasing management complexity

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system performs preliminary retrieval of programming data from software tools before cost calculation is needed, maintaining an up-to-date data repository. This preliminary action ensures that when cost estimation is required, the latest programming information is already available, eliminating delays associated with manual data collection and enabling timely cost reporting

Inventive Principle:

Principle #10Preliminary action

3Reliability

If programming data from multiple software tools is manually collected, then comprehensive cost coverage is achieved, but the effort and time required deteriorates making the process impractical

Engineering Contradiction:

Improvecompleteness of cost dataVSAvoidtime for data collection

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system merges the data collection process by retrieving programming data from multiple software tools through a unified automated approach. Instead of manually collecting data from each tool separately, the system consolidates the retrieval process, automatically gathering information from all relevant tools and feeding it to the pricing calculator, thus achieving comprehensive coverage without increasing time investment

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system achieves multi-functionality by designing the pricing calculator to handle data from various software tools through a common interface. The universal data retrieval mechanism can access programming data from different tool types (version control, issue tracking, code review tools) using standardized methods, enabling comprehensive cost estimation across the entire software development ecosystem without requiring separate manual processes for each tool

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260073433A1System and method for estimating a change in budget of a cloud resource based on anticipated releases

Publication Date: 2026.03.12 HONEYWELL INTERNATIONAL INC

AI summary

The present disclosure provides a system and method for estimating cost of utilizing a cloud resource. The method involves identifying software tools associated with the cloud resource and, retrieving and aggregating programming data of the software tools. The method involves provides extracting metadata from a master dataset and parsing the metadata by a natural language model. Thereupon, by using a pricing calculator of the cloud resource a price report is generated. The price report can then be used for cost estimation, financial planning and raising alerts.