Using RemotiveTopology

Follow the guides below.

API and client library

RemotiveTopology framework is a python library that allows you to easily interact with RemotiveTopology. Using the framework you can create Behavioral Models or write test cases probing communication channels.

Examples

After installing remotive-topology you should try out the gettingstarted example to see the "hello world" of RemotiveTopology. The same repository also contain several other examples that each show different aspects of RemotiveTopology.

Describing the platform

The platform describes which ECUs and services that exist and how they communicate. In RemotiveTopology you can describe your platform in a number of different ways:

Instantiating topology

In order to run a topology you need create an instance that describes what parts of the platform you want to run in your virtual environment. The instance also specifies what tests to run, optional ui and jupyter notebooks etc.

Running a topology

Before running a topology you first need to specify what to instantiate!

Recordings

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System monitoring

System monitoring gives you live visibility into a running topology, including CPU, memory, network, and disk usage per container, broker health, gRPC performance, and frame and signal throughput across the brokers. It's useful for understanding how the topology behaves under load, spotting bottlenecks, and confirming that simulations and tests are running as expected.

Modularity

An important feature of RemotiveTopology is the ability to create both modular platforms and instances.