Cloud Portal System for Contextual Network Resource Guides

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Solution Overview

Problem

Enterprise service functions for equipment and software are burdensome and inefficient, particularly in large networks, due to the time-consuming nature of tracking performance and troubleshooting issues.

Innovation Solution

A cloud portal system that aggregates disparate cross-domain data to generate contextual guides, including advisories and supporting material, specific to various aspects of an enterprise network, enabling efficient management and configuration of network resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual tracking and troubleshooting of network equipment is performed, then detailed control and analysis can be achieved, but time consumption and operational burden increase significantly

Engineering Contradiction:

Improvetracking precisionVSAvoidtroubleshooting time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automated self-diagnosis and self-monitoring of network equipment through AI-driven analytics that continuously track performance metrics, detect anomalies, and generate troubleshooting guides without requiring manual intervention, thus maintaining precise tracking while eliminating time-consuming manual troubleshooting

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical tracking and analysis processes with automated computational systems that use machine learning algorithms to monitor network equipment performance, identify issues, and provide diagnostic guidance, thereby achieving precise measurement without human time investment

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If comprehensive monitoring of all network resources is implemented, then complete visibility and control are achieved, but system complexity and data processing burden increase

Engineering Contradiction:

Improvemonitoring coverageVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system extracts only the most relevant and actionable insights from vast amounts of network data using AI-driven analytics, focusing on critical performance metrics and anomalies while filtering out redundant information, thus achieving comprehensive monitoring coverage without proportionally increasing system complexity

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies different levels of monitoring and analysis to different network resources based on their importance and characteristics, allocating computational resources dynamically to high-priority assets while using lighter monitoring for less critical components, thereby maintaining reliable coverage across all resources while managing overall system complexity

Inventive Principle:

Principle #3Local quality

3Adaptability or versatility

If generic troubleshooting guides are provided, then broad applicability is achieved, but relevance and actionability for specific issues decrease

Engineering Contradiction:

Improveguide applicabilityVSAvoidcontextual relevance

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system segments generic troubleshooting knowledge into context-specific guidance by analyzing the particular network resource, issue type, and environmental factors, then assembling customized troubleshooting steps that maintain broad knowledge applicability while ensuring high contextual relevance for the specific situation

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent pre-processes and structures troubleshooting knowledge bases with metadata and contextual tags, enabling the AI system to quickly retrieve and adapt relevant guidance based on the specific issue context, thus maintaining versatility of the knowledge base while ensuring actionable relevance for each specific problem

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12301416B2Cloud portal system for managing networking and computing equipment by generating contextual guides specific to affected resource(s)

Publication Date: 2025.05.13 CISCO TECHNOLOGY INC

AI summary

Methods are provided in which a computing device obtains, from one or more disparate data sources, inventory data of a plurality of network resources in a plurality of domains of an enterprise network. The inventory data includes configuration information of the enterprise network. The method further includes the computing device selecting one or more contextual insights that apply to the inventory data of the enterprise network from contextual information related to one or more networks and configuration of the one or more networks and generating one or more contextual guides specific to one or more affected network resources of the enterprise network based on the one or more contextual insights.