Dynamic Client Allocation for Software Testing Workloads
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Solution Overview
Problem
Traditional software program testing methods require writing and maintaining separate code and using different frameworks for various tests, which consumes substantial time and resources, and restrict the number of clients that can participate, limiting test scenarios.
Innovation Solution
The approach involves automatically allocating clients based on workload for software program testing, enabling multi-modal testing with a single configurable test code that can accommodate different test scenarios, such as functionality, performance, stress, and scalability modes, and dynamically determining client allocation based on the testing environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate code and different frameworks are used for various tests, then test coverage is improved, but time and resource consumption increase substantially
Solution Approach 1:
The patent implements a universal testing framework that can perform multiple types of tests (functional, performance, stress, scalability) using a single configurable test code. The framework accepts different test scenarios as parameters and executes them through a common infrastructure, eliminating the need for separate codebases for each test type while maintaining comprehensive test coverage
Solution Approach 2:
The testing framework utilizes parameter changes to switch between different test modes and scenarios. By modifying configuration parameters rather than changing the underlying code structure, the system can adapt to various test requirements dynamically, reducing the time and resources needed for test setup and execution
2Ease of operation
If a predetermined fixed number of clients is specified for each test, then test configuration is simplified, but adaptability to different test scenarios is reduced
Solution Approach 1:
The patent implements dynamic client allocation where the number of clients is not fixed but determined automatically based on the workload requirements of each test scenario. The framework calculates the appropriate client count dynamically during test execution, allowing the same testing infrastructure to adapt to different test scenarios without manual reconfiguration
Solution Approach 2:
The testing framework performs self-service by automatically determining and allocating the appropriate number of clients based on workload analysis. The system evaluates test requirements and autonomously configures the testing environment, eliminating the need for manual intervention while maintaining ease of operation
Data Source
AI summary
Techniques are described herein that are capable of automatically allocating clients for testing a software program. For instance, a number of the clients that are to be allocated for the testing may be determined based on a workload that is to be imposed by the clients during execution of the testing. For example, the number of the clients may be a minimum number of the clients that is capable of accommodating the workload. In accordance with this example, the minimum number of the clients may be allocated in a targeted environment so that the test may be performed on those clients. Additional clients may be allocated along with the minimum number of the clients in the targeted environment to accommodate excess workload.