Create MATLAB Distributed Computing Server™ cluster

Last updated: 4/27/2016

Create MATLAB Distributed Computing Server™ cluster

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Parameters

Parameter Name Description
dnsLabelPrefix DNS Label where the client node will be exposed. Must be lowercase. It should match with the following regular expression: ^[a-z][a-z0-9-]{1,61}[a-z0-9]$ or it will raise an error.
adminUsername User name for all Virtual Machine in the cluster. Pick a valid username otherwise there will be a BadRequest error.
adminPassword Admin password. Pick a complex password with uppercase letters, lowercase letters, digits, and symbols. The password should not be longer than 16. Otherwise you'll get a BadRequest error.
vmSizeClient Size of the Matlab client nodes.
vmSizeMJS Size of the MJS node.
vmSizeWorker Size of the worker nodes.
numWorkerVms Number of VMs to create that run the workers. Client and MJS VM don't count into this number.
numWorkerOnMJS Number of workers running on the master MJS VM. Zero is the default and recommended. -1 means auto detecting based on cpu cores.
numWorkersWorker Number of workers running on each worker VM. -1 will create one worker per core.
imageUri The URL to the disk image in blob that will be used to create all VMs
vhdContainer This is the container URL that will hold all VHDs for the VMs

Use the template

PowerShell

New-AzureRmResourceGroupDeployment -Name <deployment-name> -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/azure/azure-quickstart-templates/master/matlab-cluster/azuredeploy.json
Install and configure Azure PowerShell

Command line

azure config mode arm
azure group deployment create <my-resource-group> <my-deployment-name> --template-uri https://raw.githubusercontent.com/azure/azure-quickstart-templates/master/matlab-cluster/azuredeploy.json
Install and Configure the Azure Cross-Platform Command-Line Interface

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