Remediating gaps between usage allocation of hardware resource and capacity allocation of hardware resource

A non-transitory storage device storing computer-readable code executable by a processor, the computer-readable code comprising:

• first computer-readable code to forecast a future usage allocation of a hardware resource to each workload of a plurality of workloads over time, using a demand model, the future usage allocation of the hardware resource specifying a future projected usage allocation of the hardware resource, based on at least a current and past actual usage of the hardware resource as monitored, by one of:
• the demand model specifying a given workload is to run on dedicated hardware, and the forecasting includes determining the usage allocation of the hardware resource to the given workload as a complete usage allocation of the hardware resource in relation to the dedicated hardware;
• the demand model specifying that the given workload is to be fully redundant, and the forecasting includes increasing the usage allocation of the hardware resource to the given workload by at least a factor of two;
• second computer-readable code to forecast a capacity allocation of the hardware resource, using a capacity model, the capacity allocation of the hardware resource specifying a future projected capacity of the hardware resource allocable to the workloads at future times based in part on when computing devices that contribute to the hardware resource are online or offline at the future times;
• third computer-readable code to determine whether a gap is predicted to occur that causes the usage allocation of the hardware resource to be greater than the capacity allocation of the hardware resource, using a mapping model;
• fourth computer-readable code to, in response to the third computer-readable code determining that the gap is predicted to occur, present a user with one or more options determined by the processor using the mapping model and selectable by the user, wherein the one or more options include an option to prevent a portion of the hardware resource to be offline at a specific future time;
• and
• fifth computer-readable code to implement a remediation strategy to prevent the gap from actually occurring based on a selection of the one or more options by the user.

A system comprising:

• one or more computing devices;
• a hardware resource at the one or more computing devices and to be used by a plurality of workloads;
• a computer-readable data storage storing a computer program implementing a demand model, a capacity model, and a mapping model;
• and,
• a processor to execute the computer program,
• wherein the computer program is to:
• forecast a future usage allocation of a hardware resource to each workload of a plurality of workloads over time, using a demand model, the future usage allocation of the hardware resource specifying a future projected usage allocation of the hardware resource, based on at least a current and past actual usage of the hardware resource as monitored, by one of:
• the demand model specifying a given workload is to run on dedicated hardware, and the forecasting includes determining the usage allocation of the hardware resource to the given workload as a complete usage allocation of the hardware resource in relation to the dedicated hardware;
• the demand model specifying that the given workload is to be fully redundant, and the forecasting includes increasing the usage allocation of the hardware resource to the given workload by at least a factor of two;
• forecast a capacity allocation of the hardware resource, using a capacity model, the capacity allocation of the hardware resource specifying a future projected capacity of the hardware resource allocable to the workloads at future times based in part on when computing devices that contribute to the hardware resource are online or offline at the future times;
• determine whether a gap is predicted to occur that causes the usage allocation of the hardware resource to be greater than the capacity allocation of the hardware resource, using a mapping model;
• in response to determining that the future gap is predicted to occur, present a user with one or more options determined by the processor using the mapping model and selectable by the user, wherein the one or more options include an option to prevent a portion of the hardware resource to be offline at a specific future time;
• and
• implement a remediation strategy to prevent the gap from actually occurring based on a selection of the one or more options by the user.