David Hettler dhet

Install cross compiler

sudo apt install -y build-essential \
  g++-arm-linux-gnueabihf \
  gdb-multiarch

Get OpenDDS

Challenges

Services are incompatible with the nodes

By default, docker swarm will assume that a service will run on x86 systems and accordingly set the services target platform to amd64. In the case of our raspis, this results in an error ("no suitable node") when inspecting the service execution list. This problem can be circumvented by specifying the --no-resolve-image flag when running docker service create.

Specifying which node a service may run on

In order to specify compatibility between nodes and services two things need to be done

The node needs to be specified with a label. This can be done when running docker node create by specifying the tag --label cam=true. When updating the node: docker node update --label-add cam=true.
The service needs to have a constraint. A constraint may be added via docker service create --constraint 'node.labels.cam==true' .... When updating a node: docker service update --constraint-add 'node.labels.cam==true'

Error: "`memory cgroup

Embedded OpenDDS via Linux Containers

Ultimate Goal

Deploy OpenDDS programs within containers running on different Raspberry Pis connected via a LAN switch. The OpenDDS participants need to be able to communicate with each other using RTPS. The programs must be able to use sensor data from sensors connected to the Raspberry Pi's GPIO interface. One participant should make use of the Raspberry Pi's camera.

Test Environment

OpenDDS 3.12
Three Raspberry Pis v3 Model B
Docker 17.11.0-ce

	import lombok.RequiredArgsConstructor;
	import lombok.val;

	import java.time.Duration;
	import java.time.Instant;
	import java.util.concurrent.*;

	import static java.util.concurrent.TimeUnit.MILLISECONDS;

	/**

	import java.time.Duration;
	import java.time.Instant;
	import java.util.*;
	import java.util.concurrent.ExecutionException;
	import java.util.concurrent.Future;
	import java.util.concurrent.TimeUnit;
	import java.util.concurrent.TimeoutException;
	import java.util.function.*;
	import java.util.stream.Collector;

	import java.time.Duration;
	import java.time.Instant;
	import java.time.temporal.ChronoUnit;
	import java.util.Deque;
	import java.util.concurrent.*;

	public class RateLimiter {
	private final int invocations;
	private final Duration window;
	private final ScheduledExecutorService scheduler = Executors.newSingleThreadScheduledExecutor();

	docker_username: dhetbot
	docker_password: !vault \|
	$ANSIBLE_VAULT;1.1;AES256
	33383361346365316566663434303530346663636261653934316366323162616137343464656438
	3032616265386530393237663533323834393064343531390a626233353961363632643661376164
	65336635366130663266623861613834646232393766396462316365346665613065646638333534
	6364373831346235610a366639393163666234643631396464643036623536396335666336343133
	6561

	name: Create git tag from SBT

	on:
	push:
	branch: master

	jobs:
	Tag:
	runs-on: ubuntu-latest
	steps: