Simple integration of an on-demand compute environment

• US 10,608,949 B2
• Filed: 01/04/2016
• Issued: 03/31/2020
• 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): Biagini, Christopher
• Application Number:
  US14/987,059
• Publication Number:
  US 20160119245A1
• Time in Patent Office: 1,548 Days
• CPC Class Codes: G06F 11/2038 with a single idle spare processing component
• CPC Class Codes: G06F 11/3433 for load management allocation of a server based on load conditions G06F9/505; load rebalancing G06F9/5083; redistributing the load in a network by a load balancer H04L67/1029
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 2209/501 Performance criteria
• CPC Class Codes: G06F 2209/5014 Reservation
• CPC Class Codes: G06F 2209/509 Offload
• CPC Class Codes: G06F 9/4856 resumption being on a different machine, e.g. task migration, virtual machine migration G06F9/5088 takes precedence
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: G06F 9/5088 involving task migration
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G08C 17/00 Arrangements for transmitting signals characterised by the use of a wireless electrical link
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 41/0894 Policy-based network configuration management
• CPC Class Codes: H04L 41/40 using virtualisation of network functions or resources, e.g. SDN or NFV entities
• CPC Class Codes: H04L 41/5051 Service on demand, e.g. definition and deployment of services in real time
• CPC Class Codes: H04L 41/5096 wherein the managed service relates to distributed or central networked applications
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• 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

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 such that policies of the local environment are maintained for workload that consumes on-demand compute resources.

Claims

1. A method comprising:

determining presence of a job in a processing queue at a local compute environment for more than a threshold time;

upon determining the threshold time is exceeded, routing local workload information and resource configuration information associated with the job to a remote compute environment to select compute resources of the remote compute environment that are compatible with local compute resources of the local compute environment;

integrating local compute environment information with remote compute environment information to make available the compute resources of the remote compute environment to requestors of the compute resources in the local compute environment under the local compute environment requirements; and

transferring workload associated with the job whose presence in the processing queue exceeded the threshold time from the local compute environment to the remote compute environment to yield transferred workload, such that compliance with at least one of;

a data management policy, a security requirement, a quality of service, and a cost associated with the local compute environment is maintained for the transferred workload.

2. The method of claim 1, wherein the compute resources from the remote compute environment are handled and appear locally.

3. The method of claim 1, wherein availability of the remote compute environment is transparent to requestors.

4. The method of claim 1, wherein the requestor of the compute resources in the local compute environment uses a one-click request.

5. The method of claim 1, further comprising:

presenting an administrator with a plurality of options related to available modifications to the compute resources within the remote compute environment.

6. The method of claim 5, wherein making available the compute resources of the remote compute environment includes receiving a selection from the administrator in response to presenting the administrator with the plurality of options related to the available modifications to the compute resources within the remote compute environment.

7. The method of claim 1, further comprising:

presenting, based on an event, an administrator at least one option related to the compute resources within the remote compute environment, wherein making available the compute resources of the remote compute environment is based, at least in part on a selection from the at least one option.

8. The method of claim 1, wherein integrating the local compute environment information with the remote compute environment information comprises 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.

9. The method of claim 1, wherein integrating the local compute environment information with the remote compute environment information further comprises automatically creating at least one of a data migration interface and a workload migration interface.

10. The method of claim 1, wherein the local compute environment information is accessed from one of a database or a user account and provides configuration information to provision the compute resources in the remote compute environment similar to a configuration of the local compute environment.

11. A non-transitory computer readable storage medium storing instructions which, when executed by a processor, cause the processor to perform operations comprising:

determining presence of a job in a processing queue at a local compute environment for more than a threshold time;

upon determining the threshold time is exceeded, routing local workload information and resource configuration information associated with the job to a remote compute environment to select compute resources of the remote compute environment that are compatible with local compute resources of the local compute environment;

integrating local compute environment information with remote compute environment information to make available the compute resources of the remote compute environment to requestors of the compute resources in the local compute environment under the local compute environment requirements; and

transferring workload associated with the job whose presence in the processing queue exceeded the threshold time from the local compute environment to the remove compute environment to yield transferred workload, such that compliance with at least one of;

a data management policy, a security requirement, a quality of service, and cost associated with the local compute environment is maintained for the transferred workload.

12. The non-transitory computer readable storage medium of claim 11, wherein the compute resources from the remote compute environment are handled and appear locally.

13. The non-transitory computer readable storage medium of claim 11, wherein the availability of the remote compute environment is transparent to requestors.

14. The non-transitory compute readable storage medium of claim 11, wherein the local compute environment information is accessed from one of a database or a user account and provides configuration information to provision the compute resources in the remote compute environment similar to a configuration of the local compute environment.

15. The non-transitory computer readable storage medium of claim 11, wherein integrating the local compute environment information with the remote compute environment information further comprises integrating at least one of:

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

16. A system comprising:

a processor; and

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

determining presence of a job in a processing queue at a local compute environment for more than a threshold time;

upon determining the threshold time is exceeded, routing local workload information and resource configuration information associated with the job to a remote compute environment to select compute resources of the remote compute environment that are compatible with local compute resources of the local compute environment;

integrating local compute environment information with remote compute environment information to make available the compute resources of the remote compute environment to requestors of the compute resources in the local compute environment under the local compute environment requirements; and

transferring workload associated with the job whose presence in the processing queue exceeded the threshold time from the local compute environment to the remote compute environment to yield transferred workload, such that compliance with at least one of;

a data management policy, a security requirement, a quality of service and a cost associated with the local compute environment is maintained for the transferred workload.