Reserving resources in an on-demand compute environment from a local compute environment

A comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium storing instructions for controlling the processor to perform steps comprising:
• receiving a request for compute resources in an on-demand compute environment at a local resource broker, wherein a specification of resources associated with the request is one of fully explicit, partially explicit, fully implicit based on workload, and based on a virtual private cluster package concept where the virtual private cluster package can include aspects of provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments, and wherein the request being associated with the compute resources in the on-demand compute environment to be used to process workload submitted by a user to a local compute environment, wherein the on-demand compute environment and the local compute environment are each separately managed environments and each comprises a multinode compute environment used for processing workload and wherein the local resource broker is separate from the local compute environment and from the on-demand compute environment;
• based on the request, communicating instructions from the local resource broker to the on-demand compute environment reserving, at a first time, compute resources within the on-demand compute environment, for consumption by workload at a second time later than the first time, to yield reserved compute resources;
• and
• providing instructions for transferring user workload received by the local compute environment to the on-demand compute environment, such that the reserved compute resources in the on-demand compute environment are consumed at the second time by the user workload.

A non-transitory computer-readable storage medium storing instructions which, when executed by a computing device, control the computing device to manage resources in an on-demand compute environment, the instructions comprising:

• receiving a request for compute resources in an on-demand compute environment at a local resource broker, wherein a specification of resources associated with the request is one of fully explicit, partially explicit, fully implicit based on workload, and based on a virtual private cluster package concept where the virtual private cluster package can include aspects of provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments, and wherein the request being associated with the compute resources in the on-demand compute environment to be used to process workload submitted by a user to a local compute environment, wherein the on-demand compute environment and the local compute environment are each separately managed environments and each comprises a multinode compute environment used for processing workload and wherein the local resource broker is separate from the local compute environment and from the on-demand compute environment;
• based on the request, communicating instructions from the local resource broker to the chosen on-demand compute environment reserving, at a first time, compute resources within the on-demand compute environment, for consumption by workload at a second time later than the first time, to yield reserved compute resources;
• and
• providing instructions for transferring user workload received by the local compute environment to the on-demand compute environment, such that the reserved compute resources in the on-demand compute environment are consumed at the second time by the user workload.

A method of managing resources, the method comprising:

• receiving instructions from a local resource broker, wherein the instructions are associated with compute resources to be used to process user workload, wherein the local broker, an on-demand compute environment and a local compute environment are each separate environments, wherein a specification of resources associated with the instructions are one of fully explicit, partially explicit, fully implicit based on workload, and based on a virtual private cluster package concept where the virtual private cluster package can include aspects of provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments, and wherein;
• reserving, at a first time, compute resources in the on-demand compute environment based on the instructions to yield reserved compute resources for use at a second time later than the first time;
• and
• receiving a transfer of the user workload from the local compute environment to the on-demand compute environment such that the user workload consumes the reserved compute resources in the on-demand compute environment at the second time, the user workload having been submitted to the local compute environment.