Performance Analysis - sfc-aqua/quisp GitHub Wiki

The OMNeT++ provides basic tools for performance analysis. On this page, we will describe how to collect data from the simulation and analyze the results with OMNeT++ IDE and python.

What can we get?

What we can get in the performance analysis is some plots like these.

1. Add the parameter you want to measure

First, we need to add a parameter to the .ned file. You can decide the name of the parameter you take. To record a parameter you need to add the following:

@signal ["parameter name"](type="paramter type")
@statistic["paramter name"](title, record, interrpolationmode)

For details about these parameters, please refer to this section in the OMNeT++ documentation.

2. Define a variable to store the result

Next, we have to connect the .ned file to the actual source code. In the example below, we have a private variable called recog_resSignalwith type simsignal_t. In the initialize function, we need to register the signal we decided with the registerSignal function.

3. Emit a signal

In the simulation, we have to update parameters with the emit function. At the point where the parameter actually changes, we have to update the parameter by using the emit function.

4. That's all for configuration. Let's run the simulation.

Those are the requirements for measuring performance. Let's run the simulation. When you run the simulation, it's better to specify the name of the output files. In the .ini file, you can specify the name of the vector file as

output-vector-file = "filenane.vec"

When the simulation is completed, the .vec file should be inside the network folder.

5. Vector file and plot

Click the .vec file in the network. Format of a vector file is,

In a vector file,

• running date and time
• attributes of simulation
• parameters of the simulation
• information of vector
• actual values are included.

Tutorial

Let's try to run quisp/networks/vector_test.ini. Just run the simulation and show the vector file in the IDE.