Automated stateful counter aggregation of device data

1. A computer-implemented method comprising:

obtaining historical aggregate counter data and historical individual member counter data associated with a variable set of device members and a given temporal period, wherein the variable set of device members comprises a set of device members wherein: at least one device member has been removed from the set during the given temporal period and at least one device member has been added to the set during the given temporal period, and wherein at least a portion of individual member counter data of at least one device member reset during the given temporal period;

computing one or more stateful aggregate counter data values attributed to at least a portion of the variable set of device members for a given temporal value by applying at least one stateful counter aggregation algorithm to the obtained data and to new individual member counter data associated with the variable set of device members, wherein applying the at least one stateful counter aggregation algorithm comprises computing one or more aggregated delta values across individual member counter data for each of the device members having individual member counter data in both the obtained data and the new individual member counter data; and

performing one or more automated actions based at least in part on the one or more computed stateful aggregate counter data values;

wherein the method is performed by at least one processing device comprising a processor coupled to a memory.

2. The computer-implemented method of claim 1 , wherein computing the one or more aggregated delta values comprises, for each of the device members having individual member counter data in both the obtained data and the new individual member counter data, calculating a delta value between a previous counter data value from the obtained data and the new counter data value.

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

determining a new cumulative aggregate delta value for the variable set of device members by adding the calculated delta value to at least one previous cumulative aggregate delta value for the variable set of device members.

4. The computer-implemented method of claim 1 , wherein computing the one or more aggregated delta values comprises ignoring all negative delta values.

5. The computer-implemented method of claim 1 , wherein computing the one or more aggregated delta values comprises ignoring all device members having individual member counter data in the new individual member counter data but not in the obtained data.

6. The computer-implemented method of claim 1 , wherein computing the one or more aggregated delta values comprises ignoring all device members having individual member counter data in the obtained data but not in the new individual member counter data.

7. The computer-implemented method of claim 1 , wherein applying the at least one stateful counter aggregation algorithm to the obtained data comprises setting an initial value of a cumulative aggregated delta value for the variable set of device members to a given starting value.

8. The computer-implemented method of claim 1 , wherein performing the one or more automated actions comprises performing at least one analytics operation using the one or more computed stateful aggregate counter data values.

9. The computer-implemented method of claim 1 , wherein performing the one or more automated actions comprises automatically generating and outputting at least one visualization of the one or more computed stateful aggregate counter data values to at least one user via an interface.

10. A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:

to obtain historical aggregate counter data and historical individual member counter data associated with a variable set of device members and a given temporal period, wherein the variable set of device members comprises a set of device members wherein: at least one device member has been removed from the set during the given temporal period and at least one device member has been added to the set during the given temporal period, and wherein at least a portion of individual member counter data of at least one device member reset during the given temporal period;

to compute one or more stateful aggregate counter data values attributed to at least a portion of the variable set of device members for a given temporal value by applying at least one stateful counter aggregation algorithm to the obtained data and to new individual member counter data associated with the variable set of device members, wherein applying the at least one stateful counter aggregation algorithm comprises computing one or more aggregated delta values across individual member counter data for each of the device members having individual member counter data in both the obtained data and the new individual member counter data; and

to perform one or more automated actions based at least in part on the one or more computed stateful aggregate counter data values.

11. The non-transitory processor-readable storage medium of claim 10 , wherein computing the one or more aggregated delta values comprises:

for each of the device members having individual member counter data in both the obtained data and the new individual member counter data, calculating a delta value between a previous counter data value from the obtained data and the new counter data value.

12. The non-transitory processor-readable storage medium of claim 11 , wherein the program code when executed by the at least one processing device further causes the at least one processing device:

to determine a new cumulative aggregate delta value for the variable set of device members by adding the calculated delta value to at least one previous cumulative aggregate delta value for the variable set of device members.

13. The non-transitory processor-readable storage medium of claim 10 , wherein computing the one or more aggregated delta values comprises ignoring all negative delta values.

14. The non-transitory processor-readable storage medium of claim 10 , wherein performing the one or more automated actions comprises performing at least one analytics operation using the one or more computed stateful aggregate counter data values.

15. An apparatus comprising:

at least one processing device comprising a processor coupled to a memory;

the at least one processing device being configured:

to obtain historical aggregate counter data and historical individual member counter data associated with a variable set of device members and a given temporal period, wherein the variable set of device members comprises a set of device members wherein: at least one device member has been removed from the set during the given temporal period and at least one device member has been added to the set during the given temporal period, and wherein at least a portion of individual member counter data of at least one device member reset during the given temporal period;

to compute one or more stateful aggregate counter data values attributed to at least a portion of the variable set of device members for a given temporal value by applying at least one stateful counter aggregation algorithm to the obtained data and to new individual member counter data associated with the variable set of device members, wherein applying the at least one stateful counter aggregation algorithm comprises computing one or more aggregated delta values across individual member counter data for each of the device members having individual member counter data in both the obtained data and the new individual member counter data; and

to perform one or more automated actions based at least in part on the one or more computed stateful aggregate counter data values.

16. The apparatus of claim 15 , wherein computing the one or more aggregated delta values comprises:

for each of the device members having individual member counter data in both the obtained data and the new individual member counter data, calculating a delta value between a previous counter data value from the obtained data and the new counter data value.

17. The apparatus of claim 16 , wherein the at least one processing device being further configured:

to determine a new cumulative aggregate delta value for the variable set of device members by adding the calculated delta value to at least one previous cumulative aggregate delta value for the variable set of device members.

18. The apparatus of claim 15 , wherein computing the one or more aggregated delta values comprises ignoring all negative delta values.

19. The apparatus of claim 15 , wherein performing the one or more automated actions comprises performing at least one analytics operation using the one or more computed stateful aggregate counter data values.

20. The apparatus of claim 15 , wherein performing the one or more automated actions comprises automatically generating and outputting at least one visualization of the one or more computed stateful aggregate counter data values to at least one user via an interface.