Workload Allocation Engine Cooling Efficiency

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional workload allocation systems in datacenters do not consider cooling power utilization, leading to inefficient power allocation and redundant device usage, as they disconnect IT and facility management and fail to balance workloads for optimal cooling efficiency.

Innovation Solution

An Information Handling System (IHS) with a workload allocation engine that receives workload requests, determines priorities, and identifies server devices for workload allocation based on cooling-power-utilization-efficiency rankings to optimize cooling power usage by prioritizing workloads on the most efficient servers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional workload allocation systems allocate workloads based on computing device health and resource thresholds, then workload balancing is achieved, but cooling power utilization efficiency deteriorates

Engineering Contradiction:

Improveworkload balancing efficiencyVSAvoidcooling power utilization efficiency

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent changes the allocation parameters from conventional metrics (device health, resource thresholds) to include cooling power utilization efficiency metrics. The workload allocation system now considers multiple parameters including CPU utilization, power consumption, and cooling efficiency to make allocation decisions, thereby resolving the contradiction between workload balancing and cooling efficiency.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent creates a universal workload allocation framework that simultaneously optimizes multiple objectives: workload balancing, power consumption reduction, and cooling efficiency improvement. The system performs multiple functions by integrating IT infrastructure management with facility power management, allowing a single allocation decision to address both computational and thermal concerns.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Ease of operation

If IT and facility management are disconnected in conventional datacenters, then operational simplicity is maintained, but power consumption optimization deteriorates

Engineering Contradiction:

Improvemanagement operational simplicityVSAvoiddatacenter power consumption

Core Design Contradiction:

Ease of operationVSUse of energy by stationary object

Solution Approach 1:

The patent merges IT infrastructure management with facility power management into a unified system. The workload allocation engine integrates data from both IT operations and facility systems, creating a cohesive management approach that optimizes overall power consumption while maintaining operational simplicity through automated decision-making.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent implements feedback mechanisms where the workload allocation system continuously monitors power consumption, cooling efficiency, and workload performance. This feedback loop enables dynamic adjustment of workload allocations to optimize power usage while maintaining system performance, resolving the contradiction between operational simplicity and energy optimization.

Inventive Principle:

Principle #23Feedback

3Reliability

If redundant computing devices are kept active for failover capability, then system reliability is improved, but power consumption increases

Engineering Contradiction:

Improvesystem failover capabilityVSAvoidredundant device power consumption

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The patent introduces dynamic workload allocation that can rapidly redistribute workloads between active and standby devices. Instead of static redundant configurations, the system dynamically adjusts device states based on current workload demands and cooling conditions, maintaining reliability while minimizing unnecessary power consumption from redundant devices.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS11842213B2Cooling-power-utilization-based workload allocation system

Publication Date: 2023.12.12 DELL PROD LP

AI summary

A cooling-power-consumption-based workload allocation system includes a workload allocation system coupled to at least one client device and a plurality of server devices. The workload allocation system receives a first workload request that identifies a first workload from the at least one client device, and determines a first workload priority of the first workload relative to a second workload priority of each second workload being performed by the plurality of server devices. Based on the first workload priority of the first workload relative to the second workload priority of each second workload and a cooling-power-utilization-efficiency ranking of each of the plurality of server devices, the workload allocation system identifies a first server device included in the plurality of server devices for performing the first workload, and causes the first server device to perform the first workload.