Virtual Machine Graphics Resource Allocation
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Solution Overview
Problem
Existing virtual machine systems face inefficiencies in resource allocation on graphics cards, leading to wasted resources and increased power consumption, as they often allocate fixed graphics profiles without adapting to actual usage patterns.
Innovation Solution
A method that determines available resources on a graphics card, computes resource consumption by virtual machines, and adjusts graphics profiles dynamically to optimize resource allocation based on actual usage, allowing for more efficient use of graphics resources across multiple virtual machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed graphics profiles are allocated to virtual machines, then resource allocation is simplified and management is easier, but resource utilization efficiency deteriorates and power consumption increases
Solution Approach 1:
The patent implements dynamic graphics profile adjustment by monitoring actual resource consumption of virtual machines and automatically switching between different graphics profiles based on usage patterns. The system transitions from static fixed allocation to dynamic adaptive allocation, where the graphics profile is adjusted in real-time according to actual demand, thereby improving resource utilization efficiency while maintaining manageable complexity through automated control
Solution Approach 2:
The system changes the parameters of graphics profile allocation by introducing multiple graphics profiles with different resource allocation configurations. Instead of using a single fixed profile, the system selects and switches between multiple profiles (e.g., high-performance, balanced, power-saving) based on actual usage patterns, thereby optimizing the balance between ease of management and resource utilization efficiency
2Device complexity
If fixed graphics profiles are allocated to virtual machines, then configuration is simpler and implementation is easier, but power consumption increases and resources are wasted
Solution Approach 1:
The system dynamically adjusts graphics profile allocation based on monitored resource consumption patterns, switching between power-intensive and power-efficient profiles according to actual usage. This dynamic adaptation reduces power consumption by avoiding continuous allocation of high-performance graphics resources when they are not needed, while maintaining simple automated control logic for profile selection
Solution Approach 2:
The system implements self-service through automated monitoring and adjustment of graphics profile allocation. The virtualization management component automatically detects resource usage patterns and switches graphics profiles without manual intervention, enabling the system to self-optimize power consumption based on actual workload while keeping the configuration process simple and eliminating the need for continuous manual tuning
3Power
If more hosts are used to execute virtual machines, then system capacity and processing power increase, but infrastructure costs and operational complexity increase
Solution Approach 1:
The patent enables single hosts to serve multiple virtual machine workloads efficiently by implementing dynamic graphics profile allocation. By optimizing resource utilization on existing hosts through intelligent profile switching, the system reduces the need for additional hosts to handle graphics-intensive workloads, thereby maintaining system processing capacity while reducing infrastructure complexity and costs
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for calculating graphics resources for a virtual machine. One of the methods includes determining resources available on a graphics card device included in a computer executing a plurality of virtual machines, each virtual machine configured to execute a virtual desktop; determining, based on data received from a hypervisor that manages execution of at least one of the plurality of virtual machines, a graphics profile for a virtual machine included in the plurality of virtual machines executing on the computer; determining a portion of the available resources on the graphics card device allocated to the virtual machine using the graphics profile; and computing an amount of resources on the graphics card device consumed by a virtual desktop of the virtual machine based on the portion of the available resources on the graphics card device allocated to the virtual machine.