Workload Migration in Heterogeneous Workspace Environments

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Solution Overview

Problem

In heterogeneous workspace environments, existing systems face challenges in efficiently migrating workloads to optimize user experience and resource allocation while maintaining costs within budget, as they lack effective methods to identify underperforming workspaces and prioritize workload migration based on available cloud and device resources.

Innovation Solution

An Information Handling System (IHS) that identifies underperforming workspaces, selects suitable workloads for migration using Energy Estimation Engine and application telemetry data, and allocates cloud and device resources using machine learning algorithms to prioritize workload migration, ensuring increased user experience and cost management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If workload migration is performed without effective identification methods, then resource allocation may be improved, but user experience and performance optimization cannot be achieved

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidunderperforming workspace identification

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs preliminary identification and ranking of underperforming workspaces before migration decisions are made. By pre-analyzing workspace performance metrics and user experience data, the system prepares a prioritized list of candidates for migration, enabling more effective resource allocation without compromising user experience optimization.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring workspace performance metrics and user experience indicators. This feedback loop enables the system to identify underperforming workspaces based on actual measured data, and to adjust migration strategies based on the results of previous migration actions, thereby improving both resource allocation and user experience.

Inventive Principle:

Principle #23Feedback

2Reliability

If all workloads are migrated to cloud resources, then user experience may be improved, but costs will exceed budget constraints

Engineering Contradiction:

Improveuser experience qualityVSAvoidcloud resource costs

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system applies local quality by making differentiated migration decisions for different workspaces based on their specific performance characteristics and user experience metrics. Instead of a blanket migration approach, the system selectively migrates only those workloads that will benefit most from cloud resources while maintaining cost efficiency, thereby improving user experience without exceeding budget constraints.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system performs partial action by migrating only a subset of workloads to cloud resources rather than all workloads. By prioritizing and selecting specific workspaces for migration based on performance and user experience criteria, the system achieves sufficient improvement in user experience while controlling cloud resource costs within budget limits.

Inventive Principle:

Principle #16Partial or excessive action

3Speed

If workload migration is prioritized without resource allocation optimization, then migration speed may increase, but resource utilization efficiency will deteriorate

Engineering Contradiction:

Improvemigration priority processingVSAvoidcloud and device resource utilization

Core Design Contradiction:

SpeedVSUse of energy by moving object

Solution Approach 1:

The system implements dynamic resource allocation that adapts to changing workload requirements and resource availability. By continuously adjusting resource allocation based on real-time performance metrics and user experience data, the system optimizes both migration speed and resource utilization efficiency, ensuring that resources are allocated dynamically rather than statically.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes allocation parameters by adjusting the distribution of cloud and device resources based on workspace performance characteristics and user experience requirements. By modifying resource allocation parameters dynamically, the system achieves optimal balance between migration priority processing and resource utilization efficiency.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20230056042A1Workload migration recommendations in heterogeneous workspace environments

Publication Date: 2023.02.23 DELL PROD LP

AI summary

Systems and methods for workload migration recommendations in heterogeneous workspace environments are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: identify a set of workspaces launched by a set of users, among a plurality of workspaces launched by a plurality of users, where each workspace in the set of workspaces is associated with a performance or user experience metric below a threshold value; select, among a plurality of workloads executed within the set of workspaces, one or more workloads suitable for migration; and for each user of the set of users, determine whether to migrate any of the selected one or more workloads based, at least in part, upon an allocation of cloud and device resources available to the plurality of users.