Specialized Workload Allocation Using Resource Aggregation and Partitioning

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Solution Overview

Problem

Existing computing systems face limitations in efficiently managing virtual resource allocation due to hardware constraints, leading to inefficiencies in data storage and performance, particularly in disaster recovery environments.

Innovation Solution

Implementing a multi-scheme virtual resource allocation system that includes a breadth-first and depth-first allocation scheme, utilizing dummy virtual resources to adapt to different allocation requests, and monitoring workload information to optimize resource partitioning and aggregation, thereby improving performance and reducing costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a single base allocation scheme is used for virtual resources, then the allocation process is simple, but the system cannot adapt to different allocation requests and workload requirements

Engineering Contradiction:

Improveadaptability to allocation requestsVSAvoidallocation system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The allocation system is segmented into multiple independent allocation schemes (breadth-first, depth-first, custom schemes) that can be selected based on workload requirements. Each scheme handles specific allocation patterns, allowing the system to adapt to different requests without requiring a completely complex unified system.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system dynamically selects and switches between different allocation schemes based on the specific allocation request and workload characteristics. This dynamic adaptability allows the system to optimize resource distribution without being locked into a single rigid allocation methodology.

Inventive Principle:

Principle #15Dynamics

2Productivity

If virtual resources are allocated without considering aggregation and partitioning capabilities, then the allocation process is faster, but hardware utilization efficiency decreases and costs increase

Engineering Contradiction:

Improvehardware utilization efficiencyVSAvoidallocation processing time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of workload requirements and hardware capabilities before allocation occurs. By pre-evaluating aggregation and partitioning capabilities, the system can quickly determine the optimal allocation scheme without time-consuming real-time calculations during the actual allocation process.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback mechanisms that monitor hardware utilization and allocation effectiveness. This feedback allows the system to learn from previous allocations and optimize future decisions, improving utilization efficiency while maintaining fast allocation processing through intelligent decision-making.

Inventive Principle:

Principle #23Feedback

3Reliability

If specialized hardware resources are not optimized through workload monitoring, then the system is simpler to operate, but resource partitioning and aggregation performance deteriorates

Engineering Contradiction:

Improvedisaster recovery capabilitiesVSAvoidoperation simplicity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The system performs self-monitoring and self-optimization of workload distribution across specialized hardware resources. By automatically analyzing performance metrics and adjusting resource partitioning without manual intervention, the system maintains high reliability while preserving operational simplicity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual operational controls are replaced with automated intelligent systems that handle resource partitioning and aggregation optimization. This substitution maintains ease of operation from the user perspective while dramatically improving disaster recovery capabilities through sophisticated automated management.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12493496B2System and method for allocation of a specialized workload based on aggregation and partitioning information

Publication Date: 2025.12.09 DELL PROD LP

AI summary

A method for managing specialized hardware resources includes obtaining, by a resource partitioning agent, a request for a specialized workload, in response to the request: obtaining aggregation capability information corresponding to the specialized hardware resources in an information handling system, obtaining partitioning capability information associated with the specialized hardware resources, and initiating allocation of a set of specialized hardware resources to the specialized workload based on the aggregation capability information and the partitioning capability information.