1. A method of operating a resource management node comprising: for each of a plurality of resources available in a plurality of distributed computing systems, determining a productive spend metric based on utilization of the resource and cost associated with making the resource available in the distributed computing system, wherein respective ones of the plurality of distributed computing systems each comprise a plurality of physical host machines, respective ones of the plurality of physical host machines hosting a plurality of guest virtual machines; comparing, for selected ones of the resources, first productive spend metrics of a first distributed computing system of the plurality of distributed computing systems to second productive spend metrics for a second distributed computing system of the plurality of distributed computing systems; controlling relocation of workload of the selected ones of the resources from the first distributed computing system of the plurality of distributed computing systems to the second distributed computing system of the plurality of distributed computing systems based on the comparison of the first and second productive spend metrics determined for selected ones of the resources; generating a relocation scenario for relocating selected physical host machines from cabinets of the first distributed computing system of the plurality of distributed computing systems to cabinets of the second computing system of the plurality of distributed computing systems; generating estimates of productive spend metrics for the selected physical host machines if relocated to the second distributed computing system based on a prediction of utilization of resources of the selected physical host machines and costs associated with making the selected physical host machines available in the second distributed system; determining whether the estimates of productive spend metrics for the selected physical host machines satisfy defined rule; and initiating relocation of the selected physical host machines to the cabinets of the second distributed computing system according to the relocation scenario based on estimates of productive spend metrics satisfying the defined rule; generating an upgrade scenario for adding new physical host machines to cabinets of the second distributed computing system of the plurality of distributed computing system; generating estimates of productive spend metrics for the new physical host machines if added to the second distributed computing system of the plurality of distributed computing systems based on a prediction of utilization metrics for the new physical host machines and costs associated with making the new physical host machines available in the second distributed computing system of the plurality of distributed computing systems; determining whether the estimates of productive spend metrics for the new physical host machines satisfy a defined rule for adding new physical host machines; and initiating adding the new physical host machines to the cabinets of the second distributed computing system of the plurality of distributed computing system according to the upgrade scenario based on the estimated of productive spend metrics satisfying the defined rule for adding new physical host machines.