Dependency layer deployment optimization in a workload node cluster

A computer program product for dependency layer deployment optimization in a workload node cluster, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for:

• maintaining historical data of workload deployment requests to a workload node cluster and a list of dependency layers for the workload deployment request, wherein a dependency layer defines support programs on which a workload program depends;
• maintaining a map of currently deployed dependency layers across nodes of the workload node cluster;
• analyzing the historical data to generate predictions of dependency layers required in the workload node cluster at given times for future workload deployment requests;
• and
• deploying and/or reclaiming dependency layers in the workload node cluster according to the predictions ahead of a workload deployment request requiring predicted dependency layers.

A system, comprising:

• a memory for storing a computer program for dependency layer deployment optimization in a workload node cluster;
• and
• a processor connected to said memory, wherein said processor is configured to execute the program instructions of the computer program comprising:
• maintaining historical data of workload deployment requests to a workload node cluster and a list of dependency layers for the workload deployment request, wherein a dependency layer defines support programs on which a workload program depends;
• maintaining a map of currently deployed dependency layers across nodes of the workload node cluster;
• analyzing the historical data to generate predictions of dependency layers required in the workload node cluster at given times for future workload deployment requests;
• and
• deploying and/or reclaiming dependency layers in the workload node cluster according to the predictions ahead of a workload deployment request requiring predicted dependency layers.