Node Selection Method Using State Table Mapping
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Solution Overview
Problem
In cloud platform systems, efficiently finding a node to serve request messages in a resource pool is challenging due to nodes being busy or offline, especially when massive requests require different specific environments.
Innovation Solution
A node selection method that receives request messages, searches a node state table for idle nodes matching product information, and sends requests to these nodes to build installation packages, dynamically updating node states and adjusting node quantities to maintain efficient service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If nodes are assigned to specific environments in a resource pool, then service specialization is improved, but node availability decreases when nodes are busy or offline
Solution Approach 1:
The patent pre-establishes a node state table that maps product information to corresponding nodes before requests arrive. This allows the system to quickly identify available nodes for specific environments without searching the entire resource pool during request processing, thereby maintaining both specialization and availability.
Solution Approach 2:
The node state table acts as an intermediary structure between the request processing system and the resource pool. It mediates by pre-storing the mapping relationships between products, environments, and nodes, enabling fast lookup of available nodes without direct scanning of the entire node pool.
2Adaptability or versatility
If the system searches for nodes in a resource pool during request processing, then node selection flexibility is improved, but request processing time increases
Solution Approach 1:
The system performs preliminary action by pre-building and maintaining the node state table with mappings between product information and nodes. This eliminates the need for real-time searching during request processing, reducing processing time while preserving selection flexibility through the pre-organized data structure.
Solution Approach 2:
The node state table creates a copy or representation of the resource pool's node-to-product mapping relationships. This copied structure can be quickly queried without affecting the actual resource pool, enabling fast node selection while maintaining full flexibility in node assignment.
3Productivity
If nodes are dynamically adjusted in quantity, then resource utilization is improved, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms where the node state table is dynamically updated based on node availability and request patterns. This allows the system to adjust node quantities and assignments in response to actual usage, improving resource utilization while managing complexity through automated feedback-driven adjustments.
Data Source
AI summary
A node selection method and apparatus are disclosed. The method includes: receiving a request message, where the request message is used to request to provide an installation package of a product required by a user; searching, based on the product information in the request message, a node state table for a target node corresponding to the product information, where the node state table includes at least one correspondence; and sending the request message to the target node, so that the target node builds the corresponding product installation package for the product required by the user (203). The method can quickly find the target node that can provide a service, to complete job dispatching, and improve job dispatching efficiency.