A remote future is a future that uses remote cluster evaluation, which means that its value is computed and resolved remotely in another process.
remote( ..., workers = NULL, revtunnel = TRUE, myip = NULL, persistent = TRUE, homogeneous = TRUE, envir = parent.frame() )
Additional named elements passed to
If TRUE, reverse SSH tunneling is used for the PSOCK cluster nodes to connect back to the master R process. This avoids the hassle of firewalls, port forwarding and having to know the internal / public IP address of the master R session.
The external IP address of this machine. If NULL, then it is inferred using an online service (default).
If FALSE, the evaluation environment is cleared from objects prior to the evaluation of the future.
If TRUE, all cluster nodes is assumed to use the
same path to
The environment from where global objects should be identified.
This function is not meant to be called directly. Instead, the typical usages are:
# Evaluate futures on remote machine 'server.example.org', and # any nested ones sequentially (default) on that remote machine plan(remote, workers = "server.example.org") # Evaluate futures on remote machine 'server.example.org', and # nested ones in parallel on that remote machine plan(list( tweak(remote, workers = "server.example.org"), multisession )) # Evaluate futures on remote machine 'server.example.org', and # nested ones in parallel on the remote machines n1, n2, and n3. plan(list( tweak(remote, workers = "server.example.org"), tweak(cluster, workers = c("n1", "n2", "n3")) ))
remote plan is a very similar to the
cluster plan, but provides
more convenient default argument values when connecting to remote machines. #' Specifically,
persistent = TRUE by default, and it sets
myip "wisely" depending on the value of
' See below for example on how
cluster are related.