Cloud Server Resource Configuration Using Threshold-Based Auto Scaling
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Solution Overview
Problem
Existing cloud server configurations often fail to adapt to changing business requirements, leading to insufficient resources affecting operation or idle resources wasting costs.
Innovation Solution
A method to configure cloud server resources by obtaining operation indexes, comparing them with thresholds, and adjusting configurations based on the comparison results to ensure optimal resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed configuration of cloud server resource is provided according to object requirements, then the initial resource allocation meets the object's business needs, but the resource configuration cannot adapt to changing business requirements, leading to either insufficient resources affecting operation or idle resources wasting costs
Solution Approach 1:
The patent implements dynamic resource configuration by continuously monitoring operation indexes (CPU usage, memory usage, disk I/O, network I/O) and automatically adjusting cloud server resource allocation based on real-time business needs. The system transitions from static fixed configuration to dynamic adaptive configuration, allowing resources to scale up when business requirements increase and scale down when requirements decrease, thereby resolving the contradiction between adaptability and resource wastage
Solution Approach 2:
The patent establishes a feedback mechanism that continuously monitors operation indexes of the server instance and compares them against threshold values. Based on this feedback, the system automatically determines whether to adjust resource configuration upward or downward. This closed-loop feedback system enables the cloud server to adapt to changing business requirements in real-time, preventing both resource insufficiency and resource wastage
2Ease of operation
If cloud server resource configuration is manually customized, then the configuration can be tailored to initial business requirements, but it requires manual intervention and cannot automatically respond to business changes
Solution Approach 1:
The patent implements self-service automation where the cloud server system automatically monitors its own operation indexes, compares them against thresholds, and adjusts resource configuration without manual intervention. The system autonomously determines when to scale resources up or down based on real-time monitoring data, eliminating the need for manual customization and significantly reducing response time to business requirement changes
Data Source
AI summary
A method of configuring a cloud server resource, an electronic device and a storage medium, which specifically relate to a field of artificial intelligence technology, in particular to a field of cloud computing technology. A method of configuring a cloud server resource includes: obtaining an operation index of a server instance of an object; comparing the obtained operation index with a threshold; and determining whether a configuration of the cloud server resource is to be adjusted, based on a result of the comparing.