Scalable edge computing

1. A communication apparatus, comprising:

interface circuitry providing a network interface, a telemetry interface, and a management interface; and

one or more tangible, non-transitory computer-readable mediums having stored thereon instructions to:

receive diverted traffic, wherein the diverted traffic comprises traffic diverted from a cloud service provided by a cloud and to be serviced by an edge microcloud configured to provide a plurality of services;

receive telemetry via the network interface, the telemetry anticipating workload;

use the telemetry to anticipate a future per-service demand within the edge microcloud;

determine an adjustment for a resource to meet the future per-service demand; and

operate the management interface to instruct the edge microcloud to perform a scale operation before the future per-service demand occurs.

2. The communication apparatus of claim 1 , wherein the scale operation is a scale-up.

3. The communication apparatus of claim 1 , wherein the scale operation is a scale-down.

4. The communication apparatus of claim 1 , wherein the telemetry comprises base station peer-to-peer telemetry.

5. The communication apparatus of claim 1 , wherein the telemetry comprises telemetry from a central office.

6. The communication apparatus of claim 1 , wherein the telemetry comprises user equipment mobility indicia.

7. The communication apparatus of claim 1 , wherein the telemetry comprises bandwidth delivery indicia.

8. The communication apparatus of claim 1 , wherein the telemetry comprises indicia of a change in a number of sensors or devices online.

9. The communication apparatus of claim 1 , wherein computing the adjustment for the resource comprises applying a regression model.

10. The communication apparatus of claim 1 , wherein computing the adjustment for the resource comprises applying a machine learning (ML) model.

11. The communication apparatus of claim 1 , wherein computing the adjustment for the resource comprises computing an average value.

12. The communication apparatus of claim 1 , wherein computing the adjustment for the resource comprises applying a temporal periodic prediction.

13. The communication apparatus of claim 1 , wherein computing the adjustment for the resource comprises anticipating a future usage of the resource by a user equipment device.

14. An edge gateway, comprising:

a hardware platform;

a telemetry interface;

a management interface; and

logic operable on the hardware platform to:

identify diverted traffic, wherein the diverted traffic comprises traffic diverted from a cloud service provided by a cloud and to be serviced by an edge microcloud configured to provide a plurality of services;

receive telemetry via the telemetry interface;

use the telemetry to anticipate a future per-service demand within the edge microcloud;

compute a scale for a resource to meet the future per-service demand; and

operate the management interface to instruct the edge microcloud to perform a scale operation before the future per-service demand occurs.

15. The edge gateway of claim 14 , wherein the hardware platform comprises an application-specific integrated circuit (ASIC).

16. The edge gateway of claim 14 , wherein the hardware platform comprises a field-programmable gate array (FPGA).

17. The edge gateway of claim 14 , wherein the hardware platform comprises an intellectual property (IP) block.

18. The edge gateway of claim 14 , wherein the hardware platform comprises a co-processor.

19. The edge gateway of claim 14 , wherein the hardware platform comprises a system-on-a-chip (SoC).

20. A network interface card comprising the edge gateway of claim 14 .

21. A method of providing an edge gateway, comprising:

communicatively coupling to a telemetry provider via a telemetry interface;

communicatively coupling to an edge service configured to provide a plurality of services via a management interface;

identifying diverted traffic, wherein the diverted traffic comprises traffic diverted from a cloud service provided by a cloud and to be serviced by the edge service;

receiving telemetry via the telemetry interface;

using the telemetry to anticipate a future per-service demand within the edge service;

computing a scale for a resource to meet the future per-service demand; and

operating the management interface to instruct the edge service to perform a scale operation before the future per-service demand occurs.

22. The method of claim 21 , wherein the scale is a scale-up.

23. The method of claim 21 , wherein the scale is a scale-down.

24. The method of claim 21 , wherein the telemetry comprises base station peer-to-peer telemetry.

25. The method of claim 21 , wherein the telemetry comprises telemetry from a central office.