Multi-Platform Test Framework Translation Layer
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Solution Overview
Problem
Current test frameworks for 3GPP/5G compliant EPC/Any-G solutions and mobile networks are not universal and require different configurations for each cloud platform, leading to inefficiencies in resource allocation and increased costs due to the need for separate test environments for public, private, and hybrid cloud platforms.
Innovation Solution
A universal multi-platform test framework that enables support for various 3GPP/5G compliant EPC/Any-G solutions and mobile networks, allowing for interface with different cloud platforms. This framework centralizes resource allocation, simplifies engineering tasks, and enables modularity for efficient functional and performance testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate test frameworks are used for different cloud platforms, then platform-specific testing requirements are met, but resource allocation efficiency deteriorates and costs increase
Solution Approach 1:
The patent implements a universal test framework that can operate across multiple cloud platforms (Azure, AWS, KVM, Nexus, Hybrid cloud) through a common architecture. The framework uses platform-agnostic test execution engines that can adapt to different cloud environments, eliminating the need for separate test frameworks for each platform while maintaining platform-specific testing capabilities through configurable adapters and interfaces.
Solution Approach 2:
The patent introduces an intermediary layer (test framework abstraction layer) that sits between the test execution engine and various cloud platforms. This intermediary handles platform-specific API differences and translates them into a unified test execution interface, allowing single test frameworks to work across multiple platforms without direct coupling to platform-specific implementations.
2Reliability
If separate test environments are configured for each cloud platform, then platform-specific testing requirements are satisfied, but engineering labor and configuration time increase
Solution Approach 1:
The patent implements pre-configured test templates and frameworks that are prepared in advance for different cloud platforms. These pre-configured elements include standard test cases, configuration files, and environment setup scripts that can be quickly deployed across platforms without requiring extensive on-site configuration, thereby reducing engineering labor and setup time while maintaining comprehensive platform coverage.
Solution Approach 2:
The patent uses parameter-driven configuration where test frameworks are designed with configurable parameters that can be adjusted for different cloud platforms. Instead of creating entirely separate configurations, the system modifies specific parameters (such as cloud provider credentials, endpoint URLs, and platform-specific settings) within a unified framework structure, significantly reducing configuration time and effort.
3Device complexity
If platform-specific test frameworks are used, then detailed platform control is achieved, but adaptability to new platforms deteriorates
Solution Approach 1:
The patent segments the test framework into modular components: a core test execution engine, platform-specific adapters, and configurable test cases. This segmentation allows the system to maintain detailed control over each platform through specialized adapters while keeping the core engine platform-agnostic, enabling easy adaptation to new platforms by adding or modifying individual adapter modules without redesigning the entire framework.
Data Source
AI summary
Techniques are described for a multi-platform test framework that is configured to generate a target test script indicative of commands and responses for verifying virtual functions implemented in a virtualized computing environment executing a plurality of virtual machines or containers. A translation layer is used to translate the commands and responses of the source test script to equivalent commands and responses usable to verify the virtual function in a second node configured to operate on a second platform of the virtualized computing environment.