Telecom Cloud Validation for Early Deployment Failure Detection

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Solution Overview

Problem

Existing telecommunications infrastructure deployment systems face challenges in detecting deployment and lifecycle management failures due to incorrect or inadequate inputs and resource shortages, leading to extended maintenance windows and increased operational and total cost of ownership.

Innovation Solution

A system and method for proactive infrastructure deployment failure detection that includes validating telecommunications cloud deployments by analyzing inventory and software stack data, identifying potential failures early, and automating configuration to ensure adequate resources are available before proceeding with hardware setup.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If deployment validation is performed early in the process, then deployment failures are detected sooner and maintenance time is reduced, but additional validation steps increase process complexity

Engineering Contradiction:
Improvemaintenance timeVSAvoidprocess complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system performs validation of deployment inputs, resource availability, and configuration parameters before the actual deployment process begins. This preliminary validation detects potential failures early, preventing wasted time on doomed deployments and reducing maintenance time by addressing issues before they manifest in production.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements automated feedback loops that validate deployment parameters, check resource availability, and verify configuration correctness at multiple stages. This continuous feedback mechanism identifies issues early in the deployment process, allowing for immediate correction before problems escalate to require maintenance interventions.

Inventive Principle:
Principle #23Feedback

2Reliability

If comprehensive validation of deployment inputs and resources is performed, then deployment failures are detected early, but the validation process itself requires additional time and resources

Engineering Contradiction:
Improvedeployment reliabilityVSAvoidvalidation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs comprehensive validation of deployment inputs, resource availability, and configuration parameters before the actual deployment begins. By checking all critical factors in advance, the system ensures high deployment reliability while containing the time investment to a single preliminary phase rather than throughout the entire deployment process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system performs validation checks that may appear excessive or more thorough than necessary, validating not only critical path items but also secondary dependencies. This excessive validation approach ensures that no potential failure mode is missed, thereby maximizing deployment reliability even if it requires additional validation time.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If automated configuration and resource allocation are implemented, then operational efficiency is improved and human error is reduced, but system complexity and initial setup requirements increase

Engineering Contradiction:
Improveoperational efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system implements automated configuration and resource allocation that performs deployment tasks without human intervention. The system self-validates inputs, self-allocates resources, and self-configures deployment parameters based on predefined policies and constraints. This self-service capability dramatically improves operational efficiency by eliminating manual configuration steps and reducing human error, while the automation framework manages the inherent system complexity.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12425296B2Pro-active telecommunications infrastructure deployment failure detection
Publication Date: 2025.09.23 DELL PROD LP
  • US12425296B2 patent drawing
  • US12425296B2 patent drawing
  • US12425296B2 patent drawing

AI summary

A system can determine inventory data representative of an inventory of hardware deployed in a telecommunications cloud deployment. The system can, after determining the inventory data, determine type data representative of a type of the telecommunications cloud deployment, and determine software stack data representative of a software stack of the telecommunications cloud deployment. The system can validate the telecommunications cloud deployment based on the type data representative of the type of the telecommunications cloud deployment and the software stack data representative of the software stack of the telecommunications cloud deployment. The system can, after validating the telecommunications cloud deployment, configure the hardware to produce configured hardware. The system can perform at least one telecommunications operation using the configured hardware.