Automatic workload transfer to an on-demand center

• US 20060224741A1
• Filed: 03/16/2006
• Published: 10/05/2006
• 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 B.
• Granted Patent: US 9,413,687 B2
• Time in Patent Office: Days
• US Class Current: 709/226
• 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 is an on-demand computing environment. The method embodiment relates to a method of managing resources between a local compute environment and an on-demand environment. The method comprises detecting an event in a local compute environment and based on the detected event, automatically establishing communication with an on-demand compute environment, provisioning resources within the on-demand compute environment and transferring workload from the local compute environment transparently to the on-demand compute environment.

Claims

1. A method of managing resources between a local compute environment and an on-demand environment, the method comprising:

detecting an event in a local compute environment;

based on the detected event, automatically establishing communication with an on-demand compute environment;

provisioning resources within the on-demand compute environment; and

transferring workload from the local compute environment transparently to the on-demand compute environment.

2. The method of claim 1, wherein at least one of:

(1) local information is imported to the on-demand environment and (2) on-demand information is communicated to the local compute environment.

3. The method of claim 2, wherein job information is communicated to the on-demand environment.

4. The method of claim 2, wherein if on-demand information is communicated to the local compute environment, the on-demand information relates to the availability of resources in the on-demand center for use by the local compute environment.

5. The method of claim 1, further comprising:

transparently handling data management between a slave module on the on-demand compute environment and a client module on the local compute environment.

6. The method of claim 5, wherein transparently handling data management further comprises handling the data management such that the provisioning of resources within the on-demand compute environment and transferring workload from the local-environment is performed unknown to a user who submitted a workload to the local environment.

7. The method of claim 1, wherein the event is related to at least one:

of a resource threshold, a service threshold, workload, a policy threshold, an event within the local compute environment and an event outside the local compute environment.

8. The method of claim 1, wherein if the event further comprises a failure of at least one a compute node, a network device, a storage device, a license, a service, an information service, a web services, a database services and a security services.

9. The method of claim 1, wherein establishing communication with an on-demand compute environment further comprises importing from the local environment at least one of class information, configuration policy information and other information to the on-demand compute environment.

10. The method of claim 1, wherein establishing communication with the on-demand compute environment occurs automatically.

11. The method of claim 1, wherein the event is based one of all workload associated with the local compute environment or a subset of workload associated with the compute environment.

12. The method of claim 1, wherein provisioning resources within the on-demand compute environment is based on at least one of implicit and explicit requirements.

13. A method of managing a relationship between a local compute environment and an on-demand compute environment, the method comprising:

detecting a resource need event in a local compute environment;

based on the detected resource need event, dynamically negotiating and establishing a grid/peer relationship;

provisioning resources within the on-demand compute environment; and

transferring workload from the local compute environment transparently to the on-demand compute environment.

14. The method of claim 13, wherein the resource need event is one of a current resource need or a predicted resource need.

15. A system for managing resources between a local compute environment and an on-demand environment, the system comprising:

a module configured to detect an event in a local compute environment;

a module configured to, based on the detected event, automatically establish communication with an on-demand compute environment;

a module configured to provision resources within the on-demand compute environment; and

a module configured to transfer workload from the local compute environment transparently to the on-demand compute environment.

16. A computer readable medium storing instruction for controlling a computing device to manage resources between a local compute environment and an on-demand environment, the instructions comprising:

detecting an event in a local compute environment;

based on the detected event, automatically establishing communication with an on-demand compute environment;

provisioning resources within the on-demand compute environment; and

transferring workload from the local compute environment transparently to the on-demand compute environment.