Dynamic embedded-sim configuration

1. A computer-implemented method comprising:

dynamically determining an optimal embedded subscriber identification module (eSIM) configuration of respective edge devices interconnected via a network by:

identifying a context associated with a received processing task for edge processing, and

predicting a data volume associated with the received processing task for edge processing based on the identified context, and

apportioning processing responsibilities between the respective edge devices based on the identified context, predicted data volume, and speed of data transfer among the respective edge devices such that the received processing task is processed between the respective edge devices; and

dynamically changing transmission rates of the eSIM of respective edge devices connected to the network during the processing task such that activity can be executed with required quality by the respective edge devices based on the dynamically determined optimal embedded subscriber identification (eSIM) configuration.

2. The computer-implemented method of claim 1 , further comprising:

increasing or decreasing the data plan based on an identified context for edge processing and service level agreements requirements.

3. The computer-implemented method of claim 2 , further comprising:

reconfiguring eSIM configuration of respective edge devices based, at least in part, on a change in data requirements for a received processing task.

4. The computer-implemented method of claim 3 , wherein reconfiguring eSIM configuration of respective edge devices based, at least in part, on a change in data requirements for the received processing task comprises:

identifying a new edge device connecting to the network;

apportioning processing of the received task to include the identified new edge device; and

reconfiguring eSIM configuration of respective edge devices based on device capabilities of the identified new edge device.

5. The computer-implemented method of claim 1 , wherein identifying a context associated with a received processing task for edge processing comprises: determining contextual need of edge processing based, at least in part, on historical analysis of edge processing need.

6. The computer-implemented method of claim 1 , further comprising:

tracking length of time respective edge devices have participated in edge computing using a distributed ledger system.

7. A computer program product comprising:

one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:

program instructions to dynamically determine an optimal embedded subscriber identification module (eSIM) configuration of respective edge devices interconnected via a network by:

identifying a context associated with a received processing task for edge processing, and

predicting a data volume associated with the received processing task for edge processing based on the identified context, and

apportioning processing responsibilities between the respective edge devices based on the identified context, predicted data volume, and speed of data transfer among the respective edge devices such that the received processing task is processed between the respective edge devices; and

program instructions to dynamically change rates of the eSIM of respective edge devices connected to the network during the processing task such that activity can be executed with required quality by the respective edge devices based on the dynamically determined optimal embedded subscriber identification (eSIM) configuration.

8. The computer program product of claim 7 , wherein the program instructions stored on the one or more computer readable storage media further comprise:

program instructions to increase or decrease the data plan based on an identified context for edge processing and service level agreements requirements.

9. The computer program product of claim 8 , wherein the program instructions stored on the one or more computer readable storage media further comprise:

program instructions to reconfigure eSIM configuration of respective edge devices based, at least in part, on a change in data requirements for a received processing task.

10. The computer program product of claim 9 , wherein the program instructions to reconfigure eSIM configuration of respective edge devices based, at least in part, on a change in data requirements for the received processing task comprise:

program instructions to identify a new edge device connecting to the network;

program instructions to apportion processing of the received task to include the identified new edge device; and

program instructions to reconfigure eSIM configuration of respective edge devices based on device capabilities of the identified new edge device.

11. The computer program product of claim 7 , wherein the program instructions to identify a context associated with a received processing task for edge processing comprise: program instructions to determine contextual need of edge processing based, at least in part, on historical analysis of edge processing need.

12. The computer program product of claim 7 , wherein the program instructions stored on the one or more computer readable storage media further comprise:

program instructions to track length of time respective edge devices have participated in edge computing using a distributed ledger system.

13. A computer system comprising:

one or more computer processors;

one or more computer readable storage media; and

program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising:

program instructions to dynamically determine an optimal embedded subscriber identification module (eSIM) configuration of respective edge devices interconnected via a network by:

identifying a context associated with a received processing task for edge processing, and

predicting a data volume associated with the received processing task for edge processing based on the identified context, and

apportioning processing responsibilities between the respective edge devices based on the identified context, predicted data volume, and speed of data transfer among the respective edge devices such that the received processing task is processed between the respective edge devices; and

program instructions to dynamically change rates of the eSIM of respective edge devices connected to the network during the processing task such that activity can be executed with required quality by the respective edge devices based on the dynamically determined optimal embedded subscriber identification (eSIM) configuration.

14. The computer system of claim 13 , wherein the program instructions stored on the one or more computer readable storage media further comprise:

program instructions to increase or decrease the data plan based on an identified context for edge processing and service level agreements requirements.

15. The computer system of claim 14 , wherein the program instructions stored on the one or more computer readable storage media further comprise:

program instructions to reconfigure eSIM configuration of respective edge devices based, at least in part, on a change in data requirements for a received processing task.

16. The computer system of claim 15 , wherein the program instructions to reconfigure eSIM configuration of respective edge devices based, at least in part, on a change in data requirements for the received processing task comprise:

program instructions to identify a new edge device connecting to the network;

program instructions to apportion processing of the received task to include the identified new edge device; and

program instructions to reconfigure eSIM configuration of respective edge devices based on device capabilities of the identified new edge device.

17. The computer system of claim 13 , wherein the program instructions to identify a context associated with a received processing task for edge processing comprise: program instructions to determine contextual need of edge processing based, at least in part, on historical analysis of edge processing need.