Disaster Recovery Virtual Resource Tiering for GPU Workloads
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Solution Overview
Problem
Current information handling systems face limitations in managing virtual resource allocation across specialized hardware resources, such as GPUs, due to rigid allocation schemes and inefficiencies in disaster recovery environments, leading to resource bottlenecks and performance issues.
Innovation Solution
Implementing a multi-scheme allocation system that uses dummy virtual resources to adapt between breadth-first and depth-first allocation schemes, along with monitoring and mapping capabilities to optimize resource allocation and workload distribution across specialized hardware resources, including GPUs, and creating a disaster recovery environment that dynamically adjusts resource allocation based on workload requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a rigid allocation scheme is used for virtual resources on specialized hardware, then the system structure is simple, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic allocation schemes that can switch between breadth-first and depth-first strategies based on workload characteristics. The system monitors resource utilization and automatically adjusts the allocation approach, transforming the rigid static allocation into a flexible dynamic system that optimizes resource utilization efficiency while managing complexity through adaptive control mechanisms.
Solution Approach 2:
The system changes allocation parameters by introducing dummy virtual resources that modify the allocation behavior. By adjusting the number and configuration of dummy resources, the system can shift between different allocation schemes (breadth-first vs depth-first) without fundamentally changing the allocation infrastructure, thus improving resource utilization while controlling system complexity.
2Adaptability or versatility
If dummy virtual resources are introduced to enable scheme switching, then adaptability improves, but device complexity increases
Solution Approach 1:
Dummy virtual resources serve as intermediaries between the allocation manager and physical hardware resources. These intermediary virtual resources enable the system to switch between allocation schemes by acting as placeholders that control the flow of actual resource allocation, providing adaptability while isolating the complexity of scheme switching from the core allocation logic.
Solution Approach 2:
The system creates simplified copies of virtual resources (dummy resources) that replicate the interface and behavior of real resources but serve purely as allocation control mechanisms. These copies enable scheme switching without requiring complex modifications to the actual resource management infrastructure, balancing adaptability with manageable complexity.
3Productivity
If monitoring and mapping capabilities are added to optimize resource allocation, then resource utilization efficiency improves, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the allocation manager continuously monitors resource utilization metrics and workload characteristics. This feedback information is used to dynamically adjust allocation decisions and switch between breadth-first and depth-first schemes, optimizing workload distribution efficiency while using standardized monitoring approaches to control system complexity.
Data Source
AI summary
A method for managing specialized hardware resources includes obtaining, by a disaster recovery (DR) virtual resource agent, a request for a DR environment for a set of virtual resources in a primary site, in response to the request: monitoring the primary site to obtain virtual workload information corresponding to the set of virtual resources, performing a workload analysis on the set of virtual resources in the primary site using the virtual workload information to obtain a virtual resource mapping of each virtual resource in the primary site to a tiered component in the DR environment, and initiating a DR environment allocation of DR virtual resources based on the virtual resource mapping.


