VM CPU-GPU Power Balancing Through Guest-Host Feedback
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Solution Overview
Problem
Existing virtual machine power management systems are inefficient due to resource abstraction leading to suboptimal power usage, as the host OS lacks visibility into the workload of guest OS and cannot dynamically adjust CPU and GPU operations based on real-time conditions.
Innovation Solution
A guest OS detects workload conditions using heuristics and sends instructions to the host OS to adjust CPU and GPU operations, such as clock or power caps, through a communication channel, allowing dynamic load balancing and power management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the host OS controls resources provided to VMs through abstraction, then resource allocation flexibility is improved, but power management efficiency deteriorates due to lack of visibility into guest OS workload conditions
Solution Approach 1:
The patent introduces an intermediary communication mechanism between the guest OS and host OS that allows the guest OS to provide workload condition information to the host OS. This intermediary channel enables the host OS to make informed power management decisions without breaking the abstraction layer, thus resolving the contradiction between maintaining resource allocation flexibility and improving power management efficiency.
Solution Approach 2:
The patent implements a feedback mechanism where the guest OS monitors its own workload conditions and provides this information back to the host OS. This feedback loop enables the host OS to dynamically adjust resource allocation and power management based on actual workload conditions, resolving the information asymmetry that causes poor power management efficiency while preserving abstraction-based flexibility.
2Reliability
If the host OS operates CPU and GPU at high levels to meet potential workload demands, then service reliability is improved, but power consumption increases during periods of low actual demand
Solution Approach 1:
The patent enables dynamic adjustment of CPU and GPU operating levels by the host OS based on real-time workload condition information received from the guest OS. This dynamic control allows the system to transition between high-performance states (when needed for reliability) and low-power states (when demand is low), resolving the contradiction between maintaining service reliability and reducing unnecessary power consumption.
Solution Approach 2:
The patent utilizes parameter changes in CPU and GPU operation levels controlled by the host OS based on feedback from the guest OS. By adjusting operational parameters dynamically according to actual workload conditions rather than maintaining fixed high-level operation, the system achieves both service reliability when needed and reduced power consumption during low-demand periods.
3Reliability
If the host OS lacks visibility into guest OS workload conditions, then system security and isolation are maintained, but dynamic load balancing capability deteriorates
Solution Approach 1:
The patent introduces an intermediary communication channel that allows selective information exchange between guest OS and host OS. This intermediary mechanism enables the host OS to receive specific workload condition information needed for load balancing decisions while maintaining the security and isolation boundaries of the virtualization architecture, thus resolving the contradiction between security/isolation and load balancing capability.
Solution Approach 2:
The patent implements a targeted feedback mechanism where the guest OS provides specific workload condition information to the host OS through controlled communication channels. This feedback enables dynamic load balancing decisions to be made based on actual conditions while preserving the security and isolation guarantees of the virtualization system, as the feedback is provided through authorized interfaces that maintain system boundaries.
Data Source
AI summary
One or more processors includes one more circuits. The one or more circuits detect, using a guest operating system (OS) of a virtual machine (VM), a condition of a workload of the VM being executed on a central processing unit (CPU) and on a graphics processing unit (GPU) through the VM, the condition indicative of operation of one of the CPU or the GPU being different than a target level of operation, the target level based on at least one of (i) a characteristic of the workload or (ii) operation of the other of the CPU or the GPU. The one or more circuits provide, to a host OS, based at least on the condition, an instruction to reduce operation of the one of the CPU or the GPU.