Edge Node Instance Scaling via Cross-Node Collaboration
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Solution Overview
Problem
Edge computing nodes in edge computing networks face challenges in efficiently processing service loads due to varying instance creation capabilities, leading to insufficient instance creation when handling high traffic, as not all nodes have equal computing resources.
Innovation Solution
A method and apparatus that acquire actual performance indices within a time window, determine theoretical instance numbers, and request collaboration from other edge computing nodes with instance addition capabilities to create additional instances when the theoretical instance number exceeds the current node's limits, allowing for efficient processing of service loads across multiple nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If edge computing nodes create instances based on their individual instance creating upper limits, then each node can operate within its performance constraints, but the overall service load processing capability is insufficient when traffic exceeds individual node capacities
Solution Approach 1:
The patent merges the instance creation capabilities of multiple edge computing nodes into a unified collaborative system. When a node's theoretical instance number exceeds its individual upper limit, it requests collaboration from other nodes with instance addition capability, combining their resources to create the required total number of instances. This resolves the contradiction by allowing the system to achieve high productivity through combined capability while maintaining adaptability through coordinated resource sharing.
2Ease of manufacture
If all edge computing nodes have equal instance creation capabilities, then resource allocation is simplified, but it cannot reflect the actual performance differences between nodes with varying computing resources
Solution Approach 1:
The patent applies local quality by assigning different instance creating upper limits to different edge computing nodes based on their individual performance characteristics and computing resources. Each node's upper limit is determined by its specific capabilities rather than a uniform standard. The system maintains ease of operation through automated performance index acquisition and theoretical instance number determination, while ensuring reliability by accurately matching instance creation to each node's actual capacity.
Data Source
AI summary
A method, an apparatus, an electronic device and a computer readable storage medium for adjusting an instance number are provided. The method includes: acquiring an actual performance index of a current time window; determining a theoretical instance number corresponding to the actual performance index; and in response to the theoretical instance number being greater than an instance creating upper limit of a current edge computing node, requesting another edge computing node having an instance addition capability to jointly create an instance of a total number equal to the theoretical instance number.