Automated Scaling Module for Computing Infrastructure Resource Management

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing computing infrastructure management systems require manual intervention to add physical resources when capacity thresholds are reached, leading to delays and inefficient resource utilization.

Innovation Solution

Implementing a scaling module that automatically analyzes cross-layer metrics for virtual and physical resources to determine the need for additional hardware and adds new physical resources without user interaction, enabling rapid scaling and re-balancing of resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If manual resource addition is used, then user control and decision-making are maintained, but time delay increases and infrastructure efficiency deteriorates

Engineering Contradiction:

Improveautomatic resource additionVSAvoidscaling module complexity

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The infrastructure management system performs self-service by automatically monitoring resource metrics, detecting capacity thresholds, and provisioning additional physical resources without requiring user intervention. The scaling module autonomously analyzes cross-layer metrics from virtual and physical resources, makes decisions about resource addition, and executes the provisioning process, thereby eliminating manual operations and reducing time delays.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback mechanisms by continuously capturing resource metrics from both virtual and physical layers, comparing them against defined capacity thresholds, and using this information to trigger automatic scaling actions. This closed-loop feedback ensures that resource addition is dynamically responsive to actual infrastructure conditions rather than relying on manual monitoring and decision-making.

Inventive Principle:

Principle #23Feedback

2Productivity

If manual resource addition is used, then user decision-making is maintained, but productivity decreases due to time delays

Engineering Contradiction:

Improveinfrastructure scaling speedVSAvoidtime delay from capacity alert to resource addition

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The infrastructure management system performs preliminary actions by pre-defining capacity thresholds, resource provisioning policies, and scaling strategies before capacity issues arise. When resource utilization approaches predefined thresholds, the system automatically executes pre-planned scaling actions, eliminating the need for manual decision-making and reducing the time delay between detecting capacity constraints and adding resources.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system maintains continuous monitoring and evaluation of resource metrics, ensuring that the infrastructure is constantly optimized for resource utilization. The scaling module operates continuously, analyzing cross-layer metrics and triggering resource addition actions without interruption or delay, thereby maintaining productive infrastructure operation throughout the scaling process.

Inventive Principle:

Principle #20Continuity of useful action

3Productivity

If manual resource addition is used, then user control is maintained, but infrastructure efficiency remains poor during time delay

Engineering Contradiction:

Improveresource utilization efficiencyVSAvoidmanual operation requirement

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS10891168B2Automatically scaling up physical resources in a computing infrastructure

Publication Date: 2021.01.12 RED HAT INC

AI summary

Implementations of the disclosure describe automatically scaling up physical resources in a computing infrastructure. A method of the disclosure includes determining a change to implement in a physical configuration of a cluster in view of utilization of individual virtual resources and individual physical resources in the cluster, the change indicating one or more actions to be performed to modify a non-provisioned physical resource in view of a cluster type of the cluster, and performing, by a processing device without user interaction, an action to implement the change, wherein the change comprises adding the non-provisioned physical resource to the cluster.