Dedicated Host Cluster Defragmentation for Virtual Instance Capacity
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Solution Overview
Problem
Current dedicated host services face challenges in resource utilization, making it difficult for users to manage and control host clusters efficiently, especially as the scale of user clusters increases, leading to higher costs and reduced quality of service.
Innovation Solution
A host management method and apparatus that performs resource defragmentation operations on host clusters based on user instructions or conditions, optimizing resource utilization by adjusting virtual instance deployment and migrating instances to public pools when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users specify a quantity of hosts to be purchased and create virtual instances on specified hosts, then users have absolute management and control rights over dedicated host clusters, but resource utilization of the dedicated host service needs to be improved
Solution Approach 1:
The system automatically performs resource defragmentation operations on the host cluster without requiring continuous user intervention. The management device monitors resource usage status and autonomously executes defragmentation when conditions are met, allowing the system to serve itself while maintaining user control rights and improving resource utilization
Solution Approach 2:
The system changes the resource distribution parameters within the host cluster by performing defragmentation operations. This involves reallocating virtual instances across hosts to optimize resource usage, changing the state of resource utilization while preserving user-defined cluster composition and control rights
2Quantity of substance
If the scale of user clusters increases, then more virtual instances can be deployed, but costs increase and quality of service reduces
Solution Approach 1:
The management device automatically monitors resource usage status and triggers defragmentation operations when utilization falls below thresholds or idle hosts are detected. This self-monitoring and self-optimizing mechanism ensures efficient resource usage across growing cluster scales, preventing cost increases from poor utilization while supporting expansion of virtual instance capacity
3Quantity of substance
If the scale of user clusters increases, then more virtual instances can be deployed, but quality of service reduces
Solution Approach 1:
The system continuously monitors resource usage status and automatically initiates defragmentation when quality of service degradation is detected through low utilization metrics or idle host presence. This autonomous response maintains service quality across expanding cluster scales by dynamically optimizing resource distribution without user intervention
Solution Approach 2:
The management device implements feedback control by monitoring resource usage status and using this information to trigger defragmentation operations. The system measures current resource utilization, compares it against thresholds, and adjusts resource distribution accordingly, creating a closed-loop control mechanism that maintains quality of service as clusters scale
Data Source
AI summary
This application belongs to the field of cloud computing technologies, and discloses a host management method and apparatus. The method includes: receiving a resource defragmentation instruction sent by a user, where the resource defragmentation instruction instructs to perform a resource defragmentation operation on a host cluster purchased by the user, and the host cluster includes a plurality of hosts; and performing the resource defragmentation operation on the host cluster based on the resource defragmentation instruction. This application improves resource utilization of the host cluster.