Abstract: A resource manager can adjust the amount of capacity in each of a plurality of resource pools using a combination of proactive and reactive approaches. Targets such as an amount of total capacity and an amount of free capacity can be forecast and periodically compared against actual capacity and usage of the pools. A pool balancing algorithm can be used to shift capacity among pools as needed, in order to provide the targeted amount of capacity for each pool before the capacity is needed. When actual usage varies sufficiently from the forecasted usage on which the targets are based, the resource manager can react by reconfiguring resources as needed.

Abstract: A resource manager can adjust the amount of capacity in each of a plurality of resource pools using a combination of proactive and reactive approaches. Targets such as an amount of total capacity and an amount of free capacity can be forecast and periodically compared against actual capacity and usage of the pools. A pool balancing algorithm can be used to shift capacity among pools as needed, in order to provide the targeted amount of capacity for each pool before the capacity is needed. When actual usage varies sufficiently from the forecasted usage on which the targets are based, the resource manager can react by reconfiguring resources as needed.

Abstract: A resource manager can adjust the amount of capacity in each of a plurality of resource pools using a combination of proactive and reactive approaches. Targets such as an amount of total capacity and an amount of free capacity can be forecast and periodically compared against actual capacity and usage of the pools. A pool balancing algorithm can be used to shift capacity among pools as needed, in order to provide the targeted amount of capacity for each pool before the capacity is needed. When actual usage varies sufficiently from the forecasted usage on which the targets are based, the resource manager can react by reconfiguring resources as needed.