The standard approach to using a Compute Server is in an interactive fashion, where the client stays connected to the server until the job completes. The alternative is for the client to submit a batch to the server and then immediately disconnect. The client can come back later to query the status of the job and retrieve the solution when the batch is complete.
As we just noted, batch optimization requires a Cluster Manager. The Cluster Manager takes responsibility for storing the optimization model to be solved, submitting a job to the Compute Server cluster, and retrieving and storing the results of that job when it finishes (including the optimization status, the optimization log, the solution, any errors encountered, etc.).
Additional information on batch optimization can be found in a later section.