As with every new release, if you upgrade Parallel Computing Toolbox you must upgrade MATLAB Distributed Computing Server at the same time so that they interact properly with each other. Note that you do not need to do this if you are taking advantage of MATLAB Job Scheduler’s backwards compatibility.
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The R2018a version of Parallel Computing Toolbox software is accompanied by a corresponding new version of MATLAB Distributed Computing Server software.
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As with every new release, if you are using both parallel computing products, you must upgrade Parallel Computing Toolbox and MATLAB Distributed Computing Server together. These products must be the same version to interact properly with each other. This requirement applies only if you are not taking advantage of MATLAB Job Scheduler backwards compatibility.
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Jobs created in one version of Parallel Computing Toolbox software do not run in a different version of MATLAB Distributed Computing Server software, and might not be readable in different versions of the toolbox software. The job data stored in the folder identified by JobStorageLocation (formerly DataLocation) might not be compatible between different versions of MATLAB Distributed Computing Server. Therefore, JobStorageLocation should not be shared by parallel computing products running different versions, and each version on your cluster should have its own JobStorageLocation.