The problem is that R already schedules and runs the parallelization tasks, so we need to expose that to the broader cluster and allow interconnections between containers.
One option for this would be to setup a redis container to manage parallel tasks via the doredis package in R (this limits our parallelization options though since some commands don't run parallel via foreach, but instead run via stuff like parapply -- ???)
try ecs -- setup several container instances. Specify each slave and master node as taking up the full resources of the container instance. There should be essentially 3 big steps here.