Virtual Machine Specification Adjustment Using Reserved Resource Pools
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Solution Overview
Problem
Manual adjustment of virtual machine specifications in data centers is inefficient, leading to suboptimal resource utilization and potential specification adjustment failures due to insufficient resources.
Innovation Solution
An automated virtual machine specification adjustment method that acquires running status information, determines if adjustments are needed, and utilizes reserved resource pools to adjust CPU, memory, and other specifications based on performance indicators, ensuring reliable adjustments and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment method is used to adjust virtual machine specifications, then flexibility in adjusting specifications is maintained, but adjustment efficiency is low and resource utilization rate is suboptimal
Solution Approach 1:
The system automatically monitors running status information and triggers specification adjustments without human intervention. The adjustment apparatus autonomously determines when adjustments are needed and executes them based on predefined rules, making the system self-servicing rather than requiring manual operation.
Solution Approach 2:
The system continuously monitors running status information including performance indicators and resource usage. Based on this feedback, the system automatically triggers specification adjustments when thresholds are exceeded, creating a closed-loop control system that responds dynamically to actual system conditions.
2Loss of time
If manual adjustment is performed by maintenance personnel, then specification changes can be made, but the process is time-consuming and resource utilization is not optimized
Solution Approach 1:
The system pre-allocates reserved resource pools before adjustments are needed. When adjustment triggers are activated, the system can immediately allocate resources from these pre-prepared pools without waiting for resource provisioning, significantly reducing adjustment time.
Solution Approach 2:
The patent replaces the manual mechanical process of maintenance personnel adjusting specifications with an automated electronic system that monitors, decides, and executes adjustments programmatically, eliminating human response time delays.
3Reliability
If reserved resource pools are used for automatic adjustment, then adjustment success rate improves, but resource allocation complexity increases
Solution Approach 1:
The system divides reserved resources into separate resource pools according to different resource types (CPU, memory, storage, etc.). This segmentation allows independent management and allocation of each resource type, simplifying the overall complexity while ensuring comprehensive resource availability for adjustments.
Solution Approach 2:
The reserved resource pools are designed to serve multiple adjustment scenarios and different virtual machines universally. The same resource pools can be allocated to any VM that needs adjustment, reducing the need for separate management structures for each case and simplifying the system architecture.
Data Source
AI summary
Embodiments of the present invention provide a virtual machine specification adjustment method and apparatus, where the virtual machine specification adjustment method includes: acquiring running status information of a virtual machine; determining, according to the running status information of the virtual machine, whether the virtual machine is a to-be-adjusted virtual machine; and if the virtual machine is a to-be-adjusted virtual machine, adjusting a specification of the to-be-adjusted virtual machine by using a resource in a reserved resource pool. By using the technical solutions of the present invention, efficiency of virtual machine specification adjustment is improved, thereby increasing a resource utilization rate of a data center. Setting of the reserved resource pool can ensure reliability of virtual machine specification adjustment, and can avoid, to some extent, a virtual machine specification adjustment failure due to insufficient resources, thereby increasing a success rate of virtual machine specification adjustment.