Simple integration of on-demand compute environment

• US 9,961,013 B2
• Filed: 07/15/2014
• Issued: 05/01/2018
• Est. Priority Date: 03/16/2005
• Status: Active Grant

• Current Assignee: III Holdings 12, LLC (Intellectual Ventures LLC)
• Original Assignee: III Holdings 12, LLC (Intellectual Ventures LLC)
• Inventors: Jackson, David Brian
• Primary Examiner(s): Joo, Joshua
• Application Number:
  US14/331,772
• Publication Number:
  US 20140330979A1
• Time in Patent Office: 1,386 Days
• Field of Search: None
• CPC Class Codes: G06F 11/2038 with a single idle spare processing component
• CPC Class Codes: G06F 15/173 using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
• CPC Class Codes: G06F 2209/5014 Reservation
• CPC Class Codes: G06F 2209/509 Offload
• CPC Class Codes: G06F 9/5027 the resource being a machine, e.g. CPUs, Servers, Terminals
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: G06F 9/5077 Logical partitioning of resources; Management or configuration of virtualized resources specific details on emulation or internal functioning of virtual machines G06F9/455
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G08C 17/00 Arrangements for transmitting signals characterised by the use of a wireless electrical link
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/80 Actions related to the user profile or the type of traffic
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network

Abstract

Disclosed are a system and method of integrating an on-demand compute environment into a local compute environment. The method includes receiving a request from an administrator to integrate an on-demand compute environment into a local compute environment and, in response to the request, automatically integrating local compute environment information with on-demand compute environment information to make available resources from the on-demand compute environment to requestors of resources in the local compute environment.

Claims

1. A method comprising:

receiving a request to integrate a remote compute environment into a local compute environment, wherein a specification of compute resources associated with the request is one of fully explicit, partially explicit, fully implicit based on a workload, and based on a virtual private cluster package, the virtual private cluster package provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments to allocate the compute resources, wherein the remote compute environment comprises a plurality of networked compute nodes under common management and the local compute environment comprises a plurality of networked compute nodes under common management that is separate from the common management of the remote compute environment, and wherein the compute resources comprise one of a server, memory, network bandwidth, a processor, and a virtual compute resource;

in response to the request, integrating local compute environment information with remote compute environment information to facilitate resources from the remote compute environment being available to requestors of resources in the local compute environment under local compute environment requirement; and

receiving a transfer of the workload at the remote compute environment from the local compute environment to yield transferred workload, such that policies associated with the local compute environment information are maintained for the transferred workload.

2. A system comprising:

a processor; and

a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising;

receiving a request to integrate a remote compute environment into a local compute environment, wherein a specification of compute resources associated with the request is one of fully explicit, partially explicit, fully implicit based on a workload, and based on a virtual private cluster package, the virtual private cluster package provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments to allocate the compute resources, wherein the remote compute environment comprises a plurality of networked compute nodes under common management and the local compute environment comprises a plurality of networked compute nodes under common management that is separate from the common management of the remote compute environment, and wherein the compute resources comprise one of a server, memory, network bandwidth, another processor, and a virtual compute resource;

in response to the request, integrating local compute environment information with remote compute environment information to facilitate resources from the remote compute environment being available to requestors of resources in the local compute environment under local compute environment requirement; and

receiving a transfer of the workload at the remote compute environment from the local compute environment to yield transferred workload, such that policies associated with the local compute environment information are maintained for the transferred workload.

3. The system of claim 2, wherein classes, qualities of service and resource limits associated with the local compute environment information are maintained for the transferred workload.

4. A method comprising:

receiving a request to integrate a remote compute environment with a local compute environment, wherein a specification of compute resources associated with the request is one of fully explicit, partially explicit, fully implicit based on a workload, and based on a virtual private cluster package, the virtual private cluster package provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments to allocate the compute resources, wherein the remote compute environment comprises a plurality of compute nodes under common management and the local compute environment comprises a plurality of compute nodes under common management that is separate from the common management of the remote compute environment, and wherein the compute resources comprise at least one of a server, memory, network bandwidth, a processor, and a virtual compute resource;

in response to the request and from the local compute environment, routing local workload information comprising at least one of policy requirements for the workload and resource configuration information in the local compute environment to the remote compute environment; and

creating a customized environment in the remote compute environment based at least on the local workload information, that (1) mirrors the local compute environment with respect to one of rigid resource attributes and flexible resource attributes and that (2) complies with the policy requirements associated with the local compute environment, wherein the workload submitted to the local compute environment is transferred to the customized environment.

5. The method of claim 4, wherein creating the customized environment in the remote compute environment further comprises creating one of a dynamic real compute environment and a dynamic virtual compute environment at the remote compute environment which uses the local workload information.

6. A system comprising:

a processor; and

a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising;

receiving a request to integrate a remote compute environment with a local compute environment, wherein a specification of compute resources associated with the request is one of fully explicit, partially explicit, fully implicit based on a workload, and based on a virtual private cluster package, the virtual private cluster package provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments to allocate the compute resources, wherein the remote compute environment comprises a plurality of compute nodes under common management and the local compute environment comprises a plurality of compute nodes under common management that is separate from the common management of the remote compute environment, and wherein the compute resources comprise at least one of a server, memory, network bandwidth, another processor, and a virtual compute resource;

in response to the request, routing local workload information comprising at least one of policy requirements for the workload and resource configuration information in the local compute environment to the remote compute environment; and

creating a customized environment in the remote compute environment based at least on the local workload information, that (1) mirrors the local compute environment with respect to one of rigid resource attributes and flexible resource attributes and that (2) complies with the policy requirements associated with the local compute environment, wherein the workload submitted to the local compute environment is transferred to the customized environment.

7. A system comprising:

a processor; and

a computer-readable medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising;

receiving a request to integrate a remote compute environment into a local compute environment, wherein a specification of compute 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, the virtual private cluster package provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments to allocate the compute resources, wherein the remote compute environment comprises a plurality of compute nodes under common management and the local compute environment comprises a plurality of compute nodes under common management that is separate from the common management of the remote compute environment, wherein the remote compute environment and the local compute environment are configured to receive and process the workload, and wherein the compute resources comprise at least one of a server, memory, network bandwidth, another processor, and a virtual compute resource;

automatically integrating, in response to the request, local compute environment information with remote compute environment information to make available resources from the remote compute environment to requestors of resources in the local compute environment under local compute environment requirement; and

transferring the workload submitted from requestors in the local compute environment to resources in the remote compute environment to yield transferred workload, wherein policy requirements associated with the local compute environment information are applied for the transferred workload when the transferred workload consumes the resources in the remote compute environment.

8. A method comprising:

receiving a request from a local compute environment to integrate a remote compute environment into the local compute environment, wherein a specification of compute resources associated with the request is one of fully explicit, partially explicit, fully implicit based on a workload, and based on a virtual private cluster package, the virtual private cluster package provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments to allocate the compute resources, wherein the remote compute environment comprises a plurality of networked compute nodes under common management and the local compute environment comprises a plurality of networked compute nodes under common management that is separate from the common management of the remote compute environment, and wherein the compute resources comprise at least one of a server, memory, network bandwidth, a processor, and a virtual compute resource;

in response to the request, receiving local compute environment information at the remote compute environment; and

transferring the workload submitted into the local compute environment to the remote compute environment, to yield transferred workload, wherein workload policies associated with the local compute environment information are maintained for the transferred workload consuming resources in the remote compute environment.

9. The method of claim 8, wherein the workload policies comprise at least one of classes, qualities of service, security requirements, and resource limits.

10. The method of claim 8, wherein availability of the remote compute environment is transparent to requestors.

11. The method of claim 8, wherein the request is a one-click request for access to the remote compute environment.

12. The method of claim 8, further comprising integrating the local compute environment information integrating at least one of:

resource configuration, state information, resource utilization reporting, workload submission information, workload management information, resource management, policy controls including priority, resource ownership, queue configuration, workload accounting and tracking, and resource accounting and tracking.

13. A method comprising:

transmitting a request from a local compute environment to a remote compute environment to integrate the remote compute environment into the local compute environment, wherein a specification of compute resources associated with the request is one of fully explicit, partially explicit, fully implicit based on a workload, and based on a virtual private cluster package, the virtual private cluster package provisioning a support environment and adjustments to resource request timeframes including pre-allocation, allocation duration, and post-allocation timeframe adjustments to allocate the compute resources, wherein the remote compute environment comprises a plurality of networked compute nodes under common management and the local compute environment comprises a plurality of networked compute nodes under common management that is separate from the common management of the remote compute environment, and wherein the compute resources comprise at least one of a server, memory, network bandwidth, a processor, and a virtual compute resource;

transmitting local compute environment information to the remote compute environment; and

transmitting the workload submitted from requestors to process the workload in the local compute environment to the remote compute environment to consume resources in the remote compute environment to yield transferred workload, wherein workload policies are maintained for the transferred workload that consumes the resources in the remote compute environment.

14. The method of claim 13, wherein the workload policies comprise classes, qualities of service, and resource limits.

15. The method of claim 13, wherein availability of the remote compute environment is transparent to the requestors.

16. The method of claim 13, wherein the request is a one-click request for access to the remote compute environment.

17. The method of claim 13, wherein the request indicates a feasible time period to execute the workload.

18. The method of claim 13, wherein the local compute environment information is class information or configuration policy information.