Run Time Workload Tuning via Customer Profiling
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Solution Overview
Problem
Current software testing methods often fail to identify all issues in a software program before its release, leading to unforeseen problems in customer environments due to inadequate characterization of client environments and workloads.
Innovation Solution
A method and system that automatically select and compare customer workload goals with test workload goals, determining initial activity levels, and adjusting test workloads in real-time to match customer workload attributes, thereby ensuring accurate testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional software testing methods are used without workload profiling, then testing process is simpler and faster to set up, but testing accuracy is insufficient and issues remain undetected
Solution Approach 1:
The system performs preliminary workload profiling and characterization of customer environments before executing software tests. By pre-analyzing workload attributes, transaction types, and performance baselines, the testing framework is configured in advance with accurate parameters, improving detection capability without adding complexity during test execution
Solution Approach 2:
The invention creates a virtual copy of the customer's production environment by profiling and capturing workload characteristics. This replicated workload model is then used in the testing environment to simulate real-world conditions, enabling accurate issue detection without requiring direct access to the complex production system
2Reliability
If comprehensive workload profiling and comparison is performed, then testing accuracy improves, but time and computational resources increase
Solution Approach 1:
The system extracts only the most critical workload attributes and performance metrics from the customer environment for profiling. By selecting and analyzing only the essential parameters needed for accurate testing (such as key transaction types, response time thresholds, and critical performance indicators), the system achieves reliable test results without the time overhead of comprehensive analysis of all possible workload parameters
Solution Approach 2:
Workload profiling and comparison are performed in advance before test execution. By completing the environmental characterization and workload analysis during the setup phase, the system establishes accurate test parameters beforehand, ensuring reliable testing during execution without consuming additional time during the actual test run
3Measurement precision
If test environments are standardized without customer-specific profiling, then setup is easier and faster, but test results may not reflect actual customer environment behavior
Solution Approach 1:
The testing system dynamically adapts to customer-specific environments by automatically profiling workload characteristics and adjusting test parameters accordingly. Rather than using fixed standardized configurations, the system modifies test workloads, performance thresholds, and monitoring parameters based on the actual customer environment, achieving accurate results while maintaining automated setup through adaptive configuration
Data Source
AI summary
Aspects of the present invention include a method, system and computer program product for automatically adjusting the workload of a test to match specific customer workload attributes in accordance with one or more embodiments of the present invention. The method includes a processor selecting one or more customer workload goals of a customer relating to a test of a software program; selecting one or more test workload goals of the test relating to the software program; selecting one or more test data points; determining one or more initial test workload activity levels; and performing a run of the test relating to the software program. The method further includes the processor comparing the selected one or more customer workload goals with the selected one or more test workload goals; and determining whether the selected one or more customer workload goals match with the selected one or more test workload goals.