On-demand access to compute resources
Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment. The event can be a threshold or a triggering event within or outside of the local environment.
1. A method comprising:
receiving a request for resources in a remote compute environment, wherein a specification of resources is associated with the request, the specification of resources being based on a virtual private cluster package that is configured to provision a support environment and make pre-allocation, allocation duration, and post-allocation timeframe adjustments;
receiving information about a local compute environment separate from the remote compute environment; and
based on the information and the specification of resources, reserving compute resources comprising at least one processor in the remote compute environment.
2. The method of claim 1 , further comprising communicating physical environment information of the local compute environment to the remote compute environment to replicate a physical environment of the local compute environment at the remote compute environment.
3. The method of claim 1 , further comprising receiving the information about the local compute environment in response to a service threshold being exceeded.
4. The method of claim 1 , further comprising receiving the information about the local compute environment in response to a predicted event.
5. The method of claim 1 , further comprising receiving the information about the local compute environment in response to a backlog event.
6. The method of claim 5 , further comprising determining existence of the backlog event by analyzing at least one resource type associated with a backlog workload.
7. The method of claim 6 , further comprising provisioning resources in the remote compute environment corresponding to at least one resource type associated with the backlog workload.
8. A system comprising:
a processor configured to:
receive a request for resources in an on-demand compute environment, wherein a specification of resources is associated with the request, the specification of resources being based on a virtual private cluster package that is configured to provision a support environment and make pre-allocation, allocation duration, and post-allocation timeframe adjustments;
receive information about a compute environment separate from the on-demand compute environment; and
based on the information and the specification of resources, reserve compute resources comprising at least one processor in the on-demand compute environment.
9. The system of claim 8 , wherein the processor is further configured to detect a triggering event within the compute environment.
10. The system of claim 9 , wherein the triggering event comprises exceeding a service threshold.
11. The system of claim 9 , wherein the triggering event comprises a predicted event.
12. The system of claim 9 , wherein the triggering event comprises a backlog event.
13. The system of claim 12 , wherein the processor is further configured to determine existence of the backlog event by analyzing at least one resource type associated with a backlog workload.
14. A non-transitory computer readable medium having programmed instructions that when executed cause a processor to perform operations comprising:
receiving a request for resources in a remote compute environment, wherein a specification of resources is associated with the request, the specification of resources being based on a virtual private cluster package that is configured to provision a support environment and make pre-allocation, allocation duration, and post-allocation timeframe adjustments;
receive information about a local compute environment separate from the remote compute environment; and
based on the information and the specification of resources, reserving compute resources comprising at least one processor in the remote compute environment.
15. The non-transitory computer readable medium of claim 14 , wherein the specification of resources is explicit.
16. The non-transitory computer readable medium of claim 14 , wherein the specification of resources is implicit based on workload.
17. The non-transitory computer readable medium of claim 14 , wherein the specification of resources is implicit based on the virtual private cluster package.
18. The non-transitory computer readable medium of claim 14 , wherein the specification of resources is implicit based on workload.