Virtual Interfaces#
There are quite a few implementations for CAN networks that do not require physical CAN hardware. The built in virtual interfaces are:
Comparison#
The following table compares some known virtual interfaces:
Name |
Availability |
Applicability |
Implementation |
||||
Within Process |
Between Processes |
Via (IP) Networks |
Without Central Server |
Transport Technology |
Serialization Format |
||
|
included |
✓ |
✗ |
✗ |
✓ |
Singleton & Mutex (reliable) |
none |
|
included |
✓ |
✓ |
✓ |
✓ |
UDP via IP multicast (unreliable) |
custom using msgpack |
christiansandberg/ python-can-remote |
✓ |
✓ |
✓ |
✗ |
Websockets via TCP/IP (reliable) |
custom binary |
|
windelbouwman/ virtualcan |
✓ |
✓ |
✓ |
✗ |
ZeroMQ via TCP/IP (reliable) |
custom binary 1 |
- 1
The only option in this list that implements interoperability with other languages out of the box. For the others (except the first intra-process one), other programs written in potentially different languages could effortlessly interface with the bus once they mimic the serialization format. The last one, however, has already implemented the entire bus functionality in C++ and Rust, besides the Python variant.
Common Limitations#
Guaranteed delivery and message ordering is one major point of difference:
While in a physical CAN network, a message is either sent or in queue (or an explicit error occurred),
this may not be the case for virtual networks.
The udp_multicast
bus for example, drops this property for the benefit of lower
latencies by using unreliable UDP/IP instead of reliable TCP/IP (and because normal IP multicast
is inherently unreliable, as the recipients are unknown by design). The other three buses faithfully
model a physical CAN network in this regard: They ensure that all recipients actually receive
(and acknowledge each message), much like in a physical CAN network. They also ensure that
messages are relayed in the order they have arrived at the central server and that messages
arrive at the recipients exactly once. Both is not guaranteed to hold for the best-effort
udp_multicast
bus as it uses UDP/IP as a transport layer.
Central servers are, however, required by interfaces 3 and 4 (the external tools) to provide
these guarantees of message delivery and message ordering. The central servers receive and distribute
the CAN messages to all other bus participants, unlike in a real physical CAN network.
The first intra-process virtual
interface only runs within one Python process, effectively the
Python instance of VirtualBus
acts as a central server.
Notably the udp_multicast
bus does not require a central server.
Arbitration and throughput are two interrelated functions/properties of CAN networks which are typically abstracted in virtual interfaces. In all four interfaces, an unlimited amount of messages can be sent per unit of time (given the computational power of the machines and networks that are involved). In a real CAN/CAN FD networks, however, throughput is usually much more restricted and prioritization of arbitration IDs is thus an important feature once the bus is starting to get saturated. None of the interfaces presented above support any sort of throttling or ID arbitration under high loads.