Before launching a distributed optimization job, you should run the grbcluster nodes command to make sure the cluster contains more than one live machine:
> grbcluster nodes
If you see multiple live nodes, then that cluster is good to go:
ID ADDRESS STATUS TYPE LICENSE PROCESSING #Q #R JL IDLE %MEM %CPU b7d037db server1:61000 ALIVE COMPUTE VALID ACCEPTING 0 0 2 1m 3.00 2.23 eb07fe16 server2:61001 ALIVE WORKER N/A ACCEPTING 0 0 1 1m 2.95 5.33
We should reiterate a point that was raised earlier: you do not need a Gurobi license to run Gurobi Remote Services on a machine. While some services are only available with a license, any machine that is running Gurobi Remote Services will provide the Distributed Worker service.
Running a distributed algorithm is simply a matter of setting the appropriate Gurobi parameter. Gurobi supports distributed MIP, concurrent LP and MIP, and distributed tuning. These are controlled with three parameters: DistributedMIPJobs, ConcurrentJobs, and TuneJobs, respectively. These parameters indicate how many distinct Distributed Worker jobs you would like to start. Keep in mind that the initial Compute Server job will act as the first worker.
Note that jobs are allocated on a first-come, first-served basis, so if multiple users are sharing a cluster, you should be prepared for the possibility that some or all of your nodes may be busy when you request them. Your program will grab as many as it can, up to the requested count. If none are available, it will return an error.