Dynamic Networked Target System Performance Testing
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Solution Overview
Problem
Existing testing methods for networked systems are static and lack the ability to perform dynamic, real-time performance testing, especially when scaling for larger loads or modifying parameters during testing, which limits their adaptability and customization to user needs.
Innovation Solution
A system and method for dynamically testing networked target systems by receiving instructions and parameters, initializing action repeater devices to simulate user actions, and gathering performance information in real-time, allowing for dynamic adjustment of test parameters and scalability during testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static testing methods are used with pre-prepared scripts, then testing can be executed with defined parameters, but the system cannot dynamically adjust parameters or scale during testing
Solution Approach 1:
The testing system transitions from static pre-defined scripts to dynamic real-time parameter adjustment. The system allows users to modify testing parameters, scale the number of action repeater devices, and change test specifications during execution without terminating the test, enabling adaptive response to system behavior observations.
Solution Approach 2:
The system provides self-service capabilities through automated action repeater devices that execute test actions autonomously based on received instructions. The system automatically manages the testing process, including dynamic parameter adjustment and result collection, reducing the need for manual intervention while maintaining flexibility.
2Quantity of substance
If cloud load testing services are used to simulate many users for peak load testing, then scalability for larger loads is achieved, but the tests cannot be easily modified during execution
Solution Approach 1:
The system enables dynamic modification of test parameters during execution while maintaining scalability. Users can adjust the number of action repeater devices, modify test actions, and change parameters in real-time without stopping the test, combining the benefits of large-scale simulation with flexible adaptability.
Solution Approach 2:
The testing process continues uninterrupted while allowing parameter modifications. The system maintains continuous test execution even as users adjust parameters, scale resources, or modify test specifications, ensuring that the useful action of testing proceeds without interruption.
3Quantity of substance
If professional services are involved to run cloud load testing, then tests can scale for larger loads, but customization to user needs is limited
Solution Approach 1:
The system empowers users to independently configure and execute customized tests without requiring professional services. Users can define their own test specifications, choose the number of action repeater devices, select geographic locations, and customize test parameters according to their specific needs while the system handles the complex execution and scaling automatically.
Solution Approach 2:
The testing system provides universal functionality that accommodates various testing needs through a single platform. It can simulate users from different geographic locations, perform multiple types of actions, scale to different load levels, and adapt to different test requirements, making it versatile for various user scenarios.
4Adaptability or versatility
If testing parameters are adjusted by terminating and re-executing tests, then new parameters can be tested, but time is lost due to test termination and re-execution
Solution Approach 1:
The system maintains continuous test execution while allowing parameter adjustments. Users can modify test parameters, actions, and configurations during test execution without termination, eliminating the time loss associated with stopping and restarting tests while still enabling comprehensive parameter testing.
Solution Approach 2:
The system allows users to pre-configure multiple test specifications and parameters before execution. During testing, users can switch between pre-configured parameters or make ad-hoc adjustments without restarting, as the system is already prepared to handle various parameter sets efficiently.
Data Source
AI summary
A computerized method and system for conducting performance testing of a networked target system (NTS). The method comprises receiving at least one instruction and at least one parameter generated respective of a plurality of actions provided in a received test specification; testing the performance of the NTS using the at least one instruction and the at least one parameter; and gathering information respective of the performance testing of the NTS.