The intention is to simulate a distributed application using RTI Connext whose DataWriters and DataReader communicate via specific VLANs leaving discovery and meta-traffic sent and received over the non-VLAN network
The first thing to do is to configure a docker image which will represent a node in the application architecture. There is a docker file in the docker
subdirectory. To create the docker image, first copy the following files to this directory:
rti_connext_dds-7.2.0-pro-host-x64Linux.run
rti_connext_dds-7.2.0-pro-target-x64Linux4gcc7.3.0.rtipkg
rti_license.dat
(symlinking doesn't work, see Docker docs as to why...)
Adjust the line in the Dockerfile-7.2.0 that reads
ENV TZ=Europe/Madrid
to set the correct timezone then run:
docker build -t connext-7.2 -f Dockerfile-7.2.0 .
in that directory to create the image.
The docker images will be using bridged networking, and the default network interfaces will be those used for discovery and meta-traffic. In addition, there will be two networks added to simulate VLANs. To create these docker networks, run
docker network create --subnet=192.168.1.0/24 tsnnet1
docker network create --subnet=192.168.2.0/24 tsnnet2
On the development system the default docker bridged network creates a network at 172.17.0.0/16
. This provides two simulated VLANs and a "default" network configuration.
The application will consist of three nodes based on the ShapeTypeExtended type used by ShapesDemo. An Orange sample will represent video command data, and Cyan samples will be used to represent effector command data. The samples differ in colour to permit easy visualisation in WireShark.
discovery/meta-traffic: 172.17.0.3
Console/Effector VLAN (tsnnet1): 192.168.1.11
Console/Video VLAN (tsnnet2): 192.168.2.11
The "Surgeon Console" has two data writers, one to send commands to the "Video Server" (Orange) and one to send commands to the "Effector Server" (Cyan).
discovery/meta-traffic: 172.17.0.4
Console/Video VLAN (tsnnet2): 192.168.2.12
The DataReader in the "Video Server" will receive samples via the tsnnet2 network.
discovery/meta-traffic: 172.17.0.5
Console/Effector VLAN (tsnnet1): 192.168.1.13
The DataReader in the "Effector Server" will receive samples via the tsnnet1 network.
The default configuration used for the development of this simulation is to share the display with an X server to allow ShapesDemo to be executed from within the container and rendered on the host's display.
If this isn't required, remove the
-e DISPLAY
, -v $XAUTHORITY:/root/.Xauthority
and -v /tmp/.X11-unix:/tmp/.X11-unix
parameters from the provided docker run commands.
In a terminal window run:
docker run --rm -it -e DISPLAY --privileged --hostname surgeon_console --name surgeon_console -v $XAUTHORITY:/root/.Xauthority -v /tmp/.X11-unix:/tmp/.X11-unix connext-7.2:latest bash
In a separate terminal window run the following commands to connect the "Surgeon Console" container to the tsnnet1 and tsnnet2 networks:
docker network connect tsnnet1 --ip 192.168.1.11 surgeon_console
docker network connect tsnnet2 --ip 192.168.2.11 surgeon_console
Run ip a
in the "Surgeon Console" terminal to verify the network configuration:
root@surgeon_console:~# ip a
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1000
link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
inet 127.0.0.1/8 scope host lo
valid_lft forever preferred_lft forever
108: eth0@if109: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default
link/ether 02:42:ac:11:00:03 brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 172.17.0.3/16 brd 172.17.255.255 scope global eth0
valid_lft forever preferred_lft forever
110: eth1@if111: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default
link/ether 02:42:c0:a8:01:0b brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 192.168.1.11/24 brd 192.168.1.255 scope global eth1
valid_lft forever preferred_lft forever
112: eth2@if113: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default
link/ether 02:42:c0:a8:02:0b brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 192.168.2.11/24 brd 192.168.2.255 scope global eth2
valid_lft forever preferred_lft forever
In a new terminal window run:
docker run --rm -it -e DISPLAY --privileged --hostname video_server --name video_server -v $XAUTHORITY:/root/.Xauthority -v /tmp/.X11-unix:/tmp/.X11-unix connext-7.2:latest bash
In a separate terminal window run the following command to connect the "Video Server" container to the tsnnet2 network:
docker network connect tsnnet2 --ip 192.168.2.12 video_server
Run ip a
in the "Video Server" terminal to verify the network configuration:
root@video_server:~# ip a
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1000
link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
inet 127.0.0.1/8 scope host lo
valid_lft forever preferred_lft forever
114: eth0@if115: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default
link/ether 02:42:ac:11:00:04 brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 172.17.0.4/16 brd 172.17.255.255 scope global eth0
valid_lft forever preferred_lft forever
116: eth1@if117: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default
link/ether 02:42:c0:a8:02:0c brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 192.168.2.12/24 brd 192.168.2.255 scope global eth1
valid_lft forever preferred_lft forever
In a new terminal window run:
docker run --rm -it -e DISPLAY --privileged --hostname effector_server --name effector_server -v $XAUTHORITY:/root/.Xauthority -v /tmp/.X11-unix:/tmp/.X11-unix connext-7.2:latest bash
In a separate terminal window run the following command to connect the "Effector Server" container to the tsnnet2 network:
docker network connect tsnnet1 --ip 192.168.1.13 effector_server
Run ip a
in the "Video Server" terminal to verify the network configuration:
root@effector_server:~# ip a
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1000
link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
inet 127.0.0.1/8 scope host lo
valid_lft forever preferred_lft forever
118: eth0@if119: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default
link/ether 02:42:ac:11:00:05 brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 172.17.0.5/16 brd 172.17.255.255 scope global eth0
valid_lft forever preferred_lft forever
120: eth1@if121: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc noqueue state UP group default
link/ether 02:42:c0:a8:01:0d brd ff:ff:ff:ff:ff:ff link-netnsid 0
inet 192.168.1.13/24 brd 192.168.1.255 scope global eth1
valid_lft forever preferred_lft forever
From the source/c++11
directory run
make -f makefile_x64Linux4gcc7.3.0
and if the host configuration is correct, the three applications will be built. To simplify distribution of the applications and the associated Quality of Service profile files to the three docker containers, a bash script called distribute.sh
has been provided.
Run the distribute script and then the three applications should be ready to be executed from within the docker containers.
The three applications have the same usage:
Usage:
-d, --domain <int> Domain ID this application will
subscribe in.
Default: 0
-s, --sample_count <int> Number of samples to receive before
cleanly shutting down.
Default: infinite
-v, --verbosity <int> How much debugging output to show.
Range: 0-3
Default: 1
The three applications have distinct QoS profiles, but they all follow a common theme.
The base tsn_profile
sets up and configures UDP transports which are given aliases defined as stdnet, tsnnet1 and tsnnet2.
Only all three are defined in the "Surgeon Console" QoS, the other applications define only those that are used in their specific cases.
The transport_builtin QoS is set to MASK_NONE, meaning no builtin transports are enabled which ensures the traffic only goes through those registered.
Discovery is configured to use the transport defined with the alias "stdnet", which is the default docker bridge network. The initial peers are configured, as in a TSN scenario using VLANs it would be expected to know the addresses, and accept_unknown_peers is set to false.
In the "Surgeon Console" QoS, two additional profiles are defined, both deriving from tsn_profile
.
The first, video_profile
configures the DataWriter for the video_control
topic to use the transport with the tsnnet2
alias,
while the second effector_profile
configures the DataWriter for the effector_control
topic to use the transport with the tsnnet1
alias.
In the "Video Server" QoS, the discovery configuration differs in that only the "Surgeon Console" node is defined in the peer list.
The transport configuration also differs, as the transport with the alias stdnet
is using the address docker assigned to the default bridge network (172.17.0.4), and the tsnnet1
transport is absent as it is not used by the "Video Server".
In the video_profile
QoS profile, the DataReader is configured to use the tsnnet2
transport, and additionally the unicast endpoint is defined as using the tsnnet2
transport and the specific receive port (2345). (This port can be anything as long as it doesn't conflict with those defined for builtin transports)
In the "Effector Server" QoS, the discovery configuration again differs from that of the "Surgeon Console" in the discovery configuration.
The transport configuration again differs, as the transport with the alias stdnet
is using the address docker assigned to the default bridge network (172.17.0.5), and the tsnnet2
transport is absent as it is not used by the "Effector Server".
In the effector_profile
QoS profile, the DataReader is configured to use the tsnnet1
transport, and additionally the unicast endpoint is defined as using the tsnnet1
transport and the specific receive port (1234).