Container Network Configuration Using Communication Mode Grouping
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Solution Overview
Problem
Current network configuration methods for application programs in containers are complex and time-consuming, requiring significant manual labor and verification to avoid network attacks and ensure data exchange performance, making them unsuitable for large-scale deployments.
Innovation Solution
A method and apparatus that automatically group application programs based on environmental information to determine inter-program communication modes, configuring networks using pre-created templates for memory, local area, and wide area networks, reducing manual intervention and optimizing network configuration for large numbers of programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual network configuration is used for application programs in containers, then network security and data exchange performance can be ensured through testing and verification, but the manual labor and time required increase significantly when configuring for a large number of application programs
Solution Approach 1:
The patent segments application programs into different groups based on their environmental information (host location, communication mode). This segmentation allows the system to apply different network configuration templates to different groups, reducing the need for manual verification while maintaining security and performance through automated group-based configuration.
Solution Approach 2:
The patent changes the configuration approach from manual parameter setting to automated template-based configuration. By pre-defining network configuration templates for different communication modes (memory exchange, local area network, wide area network), the system automatically adjusts configuration parameters based on the application program group, eliminating manual labor while preserving configuration accuracy.
2Reliability
If manual network configuration is performed for a large number of application programs, then network security and performance can be optimized, but the time and manual labor required become excessive
Solution Approach 1:
The patent performs preliminary action by pre-creating network configuration templates for different communication modes before the actual configuration process. These templates include pre-defined network parameters, routing rules, and security settings. When configuring application programs, the system automatically selects and applies the appropriate template based on the program group, eliminating the need for time-consuming manual configuration while ensuring accuracy.
Solution Approach 2:
The patent uses copying by replicating proven network configuration templates for different communication modes. Instead of manually creating configurations for each application program, the system copies and adapts pre-validated templates that have been tested and verified to work correctly, thereby reducing configuration time while maintaining reliability.
3Productivity
If automated network configuration is used for large numbers of application programs, then configuration time and manual labor are reduced, but the complexity of managing different communication modes increases
Solution Approach 1:
The patent manages complexity by segmenting communication modes into distinct categories (memory exchange, local area network, wide area network) and assigning specific configuration templates to each segment. This segmentation simplifies the automated configuration process by providing clear, predefined rules for each communication mode type, making it easier to manage diversity without increasing operational complexity.
Solution Approach 2:
The patent applies universality by creating a unified automated configuration system that handles multiple communication modes through a single framework. The system uses a common template-based approach that can adapt to different communication modes (memory exchange, LAN, WAN) without requiring separate manual configuration processes for each mode, thereby reducing overall system complexity while maintaining high productivity.
Data Source
AI summary
Various embodiments of the teachings herein include a network configuration method. An example includes: acquiring environmental information of two application programs, information indicating hosts where the application programs are located and a communication mode between them; grouping the two application programs according to the information to obtain a program group, wherein each program group comprises at least two application programs, different program groups correspond to different inter-program communication modes, and the application programs in the same program group communicate with each other through the inter-program communication mode corresponding to the program group; determining at least one application program pair that needs to perform communication; and configuring, according to the inter-program communication mode corresponding to the program group comprising the application program pair, a communication network for the two application programs comprised in the application program pair.