Network Resource Preservation via Automated Classification and Actions

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing methods for representing and managing network computing environments lack context and require extensive manual efforts to adjust to new data and interventions, hindering effective network monitoring and security.

Innovation Solution

A computer-implemented method for automatically classifying resources within a network computing environment, assigning customized enabled action programs, and applying data preservation programs to enhance visibility and intervention for system integrity and security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual methods are used to adjust interface and manage interventions, then system adaptability is improved, but time consumption and operational efficiency deteriorate

Engineering Contradiction:

Improvesystem adaptabilityVSAvoidtime consumption

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system automatically discovers, classifies, and adapts to new resources and data structures without human intervention. The classification system self-adjusts to new network computing environments by autonomously learning from encountered data, eliminating the need for manual interface adjustments while maintaining high adaptability.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-establishes classification categories and data preservation programs before they are needed. When new resources are encountered, the system can quickly match them against pre-defined categories and apply appropriate preservation programs, significantly reducing the time required to respond to new situations compared to manual configuration.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If manual efforts are used to manage interventions, then intervention precision is improved, but productivity and response speed deteriorate

Engineering Contradiction:

Improveintervention precisionVSAvoidresponse speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system continuously monitors resource behavior and outcomes of applied preservation programs, using this feedback to refine future interventions. This automated feedback loop maintains high intervention precision by learning from actual system responses while dramatically increasing productivity through automated decision-making and execution.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts classification parameters and preservation program selections based on resource characteristics and environmental context. By automatically modifying these parameters according to observed data patterns, the system achieves both high precision in targeting the right resources and high productivity through automated parameter optimization.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated classification is implemented, then productivity and efficiency are improved, but system complexity increases

Engineering Contradiction:

Improveoperational efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system divides the complex task of resource management into distinct classification categories and preservation program modules. This segmentation allows the automated system to handle complexity through structured, manageable components while maintaining high productivity, as each category and program can be independently developed, tested, and executed.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The classification system is designed to be universal, handling multiple types of resources (databases, virtual machines, computing devices, APIs) through a single unified framework. This multi-functionality reduces overall system complexity by eliminating the need for separate manual management systems for different resource types, thereby improving productivity without proportionally increasing complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12519763B2Computer-implemented methods, systems comprising computer-readable media, and electronic devices for resource preservation and intervention within a network computing environment

Publication Date: 2026.01.06 CLEARVECTOR INC

AI summary

A computer-implemented method for resource preservation and intervention. The method may include: enumerating a plurality of resources within a network computing environment based on data elements relating to activities and/or resources in the environment; classifying the resources under one of a plurality of pre-defined categories; based on the classification, assigning a plurality of enabled action programs to each of the resources, wherein execution of the enabled action programs causes pre-determined changes in the behavior and/or capabilities of the corresponding one of the resources; based on the classification of the resources, applying one of a plurality of data preservation programs to resources within the environment, wherein execution of the data preservation programs causes collection of corresponding pre-defined resource data; and, for each of the resources, exposing the corresponding pre-defined resource data and the assigned enabled action programs to and for use via a client device.