Systems and methods for generating cloud deployment targets based on predictive workload estimation

Abstract

Embodiments relate to systems and methods for generating cloud deployment targets based on predictive workload estimation. In aspects, a set of usage histories can store records for user workloads in a host cloud-based network recording the consumption of processor, memory, storage, operating system, application, or other resources subscribed to by the user. The operator of the cloud management system hosting the workloads of one or more users can track, identify, and manage the predictive marginal resource capacities of the set of host clouds, based on those historical usage patterns. The collective usage history can indicate, for instance, that a number of operating workloads tend to display a small under-utilization of processor or memory resources during certain overnight periods on a regular basis. The operator can then harvest those predictive marginal capacities, and offer a new user or workload a potential hosting subscription based on those expected resource availabilities.

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