Virtual Desktop Pool Migration for Resource Allocation
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Solution Overview
Problem
Existing information handling systems lack an automated technique for dynamically reallocating users to optimal virtual desktop pools, leading to suboptimal user experience and resource utilization in virtual desktop infrastructure (VDI) and server-based computing (SBC) environments.
Innovation Solution
A virtual appliance monitors user hardware resource utilization and end-user experience parameters, combining rules-based and data-based approaches to synthesize recommendations for user migration to alternative virtual desktop pools, ensuring efficient allocation and re-allocation within adaptive desktop virtualization environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are allocated to virtual desktop pools based on crude analysis of organizational alignment, then allocation simplicity is maintained, but user experience quality and resource utilization efficiency deteriorate
Solution Approach 1:
The system dynamically reallocates users to virtual desktop pools based on continuously monitored parameters such as user behavior patterns, resource utilization metrics, and experience quality indicators. This dynamic approach replaces static organizational alignment-based allocation with adaptive, real-time decision-making that optimizes resource utilization while maintaining operational simplicity through automated processes.
Solution Approach 2:
The system implements feedback loops by monitoring user experience parameters, resource utilization metrics, and allocation effectiveness. This feedback information is used to continuously refine and adjust user-to-pool allocations, enabling the system to learn from past performance and improve resource utilization efficiency over time while keeping the allocation process automated and simple.
2Productivity
If automated re-allocation techniques are implemented, then resource utilization efficiency improves, but system complexity increases
Solution Approach 1:
The system introduces an intermediary automated allocation service that sits between users and virtual desktop pools. This intermediary handles the complex monitoring, analysis, and reallocation decisions using predefined parameters and algorithms, thereby improving resource utilization efficiency while shielding users and administrators from the underlying system complexity.
Solution Approach 2:
The system uses virtualization to create virtual copies of desktop environments that can be dynamically allocated and reassigned. This copying approach enables efficient resource utilization by allowing multiple users to share physical resources through virtual instances, while the automated system manages the complexity of allocation and reallocation transparently.
3Ease of manufacture
If manual help desk calls and ad-hoc methods are used for user re-allocation, then system implementation simplicity is maintained, but user experience quality and response time deteriorate
Solution Approach 1:
The system implements self-service automated allocation that continuously monitors user needs and resource availability, automatically making reallocation decisions without requiring manual help desk intervention. This self-service approach maintains implementation simplicity through standardized automated processes while dramatically reducing response time by immediately acting on allocation decisions based on real-time data.
Data Source
AI summary
A system and method for dynamically re-allocating a user to an alternative virtual desktop pool. A virtual application may monitor relevant parameters related to resource utilization and end-user experience. Certain information, for example, information provided by an administrator, related to capabilities and capacity of one or more virtual desktop pool capabilities may be stored. The virtual appliance may re-allocate or migrate the user to an alternative virtual desktop pool based, at least in part, on the monitored parameters and the stored capabilities and capacity information. Any changes in the user's activities may be reflected in further re-allocation of the user to another alternative virtual desktop pools to ensure a suitable end-user experience.