Application US20200142735

METHODS AND APPARATUS TO OFFLOAD AND ONLOAD WORKLOADS IN AN EDGE ENVIRONMENT
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US20200142735

1. An apparatus comprising: (7) (2)

a telemetry controller to determine that a workload is to be offloaded from a first resource to a second resource of a platform; and

a scheduler to: determine an instance of the workload that is compatible with the second resource; and

schedule the workload to continue execution based on an exchange of a workload state from the first resource to the second resource, the workload state indicative of a previous thread executed at the first resource.

2. The apparatus of claim 1, further including a capability controller to generate a resource model indicative of one or more resources of the platform based on invoking a composition. (0)

3. The apparatus of claim 1, wherein the telemetry controller is to: (0) (3)

4. The apparatus of claim 1, wherein the scheduler is to: (0) (3)

5. The apparatus of claim 1, wherein the telemetry controller is to periodically compare utilization metrics to policy data to optimize execution of the workload at the platform. (0)

6. The apparatus of claim 1, further including an orchestrator is to distribute the workload between two or more resources when first threads corresponding to a first task of the workload are optimizable on the first resource and second threads corresponding to a second task of the workload are optimizable on the second resource. (0)

7. The apparatus of claim 1, further including an orchestrator to orchestrate generation of multiple instances of a workload based on capability information, the capability information corresponding to one or more available resources of the platform in which the workload is configured to execute. (0)

8. The apparatus of claim 1, wherein the telemetry controller is to: (0) (3)

9. A non-transitory computer readable storage medium comprising instructions that, when executed, cause a machine to at least: (7) (3)

determine that a workload is to be offloaded from a first resource to a second resource;

determine an instance of the workload that is compatible with the second resource; and

10. The non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the machine to generate a resource model indicative of one or more resources of a platform based on invoking a composition. (0)

11. The non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the machine to: (0) (3)

12. The non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the machine to: (0) (3)

13. The non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the machine to periodically compare utilization metrics to policy data to optimize execution of the workload at a platform. (0)

14. The non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the machine to distribute the workload between two or more resources when first threads corresponding to a first task of the workload are optimizable on the first resource and second threads corresponding to a second task of the workload are optimizable on the second resource. (0)

15. The non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the machine to orchestrate generation of multiple instances of the workload based on capability information, the capability information corresponding to one or more available resources of a platform in which the workload is configured to execute. (0)

16. The non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the machine to: (0) (3)

17. A method comprising: (7) (3)

determining that a workload is to be offloaded from a first resource to a second resource;

determining an instance of the workload that is compatible with the second resource; and

scheduling the workload to continue execution based on an exchange of a workload state from the first resource to the second resource, the workload state indicative of a previous thread executed at the first resource.

18. The method of claim 17, further including generating a resource model indicative of one or more resources of a platform based on invoking a composition. (0)

19. The method of claim 17, further including: (0) (3)

20. The method of claim 17, further including: (0) (3)

21. The method of claim 17, further including periodically comparing utilization metrics to policy data to optimize execution of the workload at a platform. (0)

22. The method of claim 17, further including distributing the workload between two or more resources when first threads corresponding to a first task of the workload are optimizable on the first resource and second threads corresponding to a second task of the workload are optimizable on the second resource. (0)

23. The method of claim 17, further orchestrating a generation of multiple instances of the workload based on capability information, the capability information corresponding to one or more resources of a platform in which the workload is configured to execute. (0)

24. The method of claim 17, further including: (0) (3)

25. An apparatus to distribute a workload at an edge platform, the apparatus comprising: (0) (2)

26.-30. (canceled) (0)

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Application US20200142735

METHODS AND APPARATUS TO OFFLOAD AND ONLOAD WORKLOADS IN AN EDGE ENVIRONMENT

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