How do you design and implement a realistic and representative workload model for your numerical simulation?

3 Select a workload modeling approach

The third step is to select a workload modeling approach that suits your simulation goal and the available data. There are different types of workload models, such as synthetic, trace-based, or hybrid, that vary in their level of realism, detail, and complexity. Synthetic models generate artificial workloads based on mathematical formulas, statistical distributions, or rules. Trace-based models use real or recorded workloads from actual or similar systems. Hybrid models combine elements of both synthetic and trace-based models. Each approach has its advantages and disadvantages, depending on the trade-off between fidelity, flexibility, and feasibility.

4 Design the workload model structure and parameters

The fourth step is to design the workload model structure and parameters that define the shape and behavior of the workload. The structure of the workload model determines how the workload is organized, divided, or composed into different elements, such as tasks, requests, or messages. The parameters of the workload model determine how the workload varies over time, space, or other dimensions, such as intensity, frequency, duration, size, or type. You need to choose the appropriate structure and parameters that reflect the features and dynamics of the system and the workload.

5 Implement the workload model in code

The fifth step is to implement the workload model in code using a programming language, a simulation framework, or a tool that supports your simulation platform and environment. You need to translate your workload model design into executable code that can generate, inject, or control the workload in the simulation. You need to ensure that your code is correct, consistent, and compatible with your simulation model and system. You also need to test, debug, and document your code to ensure its quality and usability.

6 Evaluate and refine the workload model

The sixth step is to evaluate and refine the workload model based on the results and feedback from the simulation. You need to analyze and compare the output and performance of the simulation with the expected or desired outcome and criteria. You need to identify and diagnose any errors, discrepancies, or anomalies in the simulation or the workload model. You need to adjust, improve, or modify the workload model design or implementation to address any issues or limitations. You need to repeat this step until you achieve a satisfactory level of realism and representativeness for your workload model.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?