Managing data processing efficiency, and applications thereof

1. A computer-implemented method, comprising:

determining a data set to be cleaned having a first demand corresponding to a size of the data set;

identifying one or more processors sufficient to clean the data set based on the first demand;

applying the one or more processors to clean the data set;

monitoring an amount of time that a processor of the one or more processors has been operating;

based on the amount of time, identifying a second demand corresponding to a remaining amount of the data set to be cleaned; and

determining whether to continue operating at least one of the one or more processors based on the second demand.

2. The computer-implemented method of claim 1 , wherein identifying the one or more processors further comprises:

recruiting an additional processor to the one or more processors by analyzing the first demand.

3. The computer-implemented method of claim 1 , wherein identifying the one or more processors further comprises:

calculating an efficiency of the processor by calculating a ratio of time the processor has been idle against time the processor has been active; and

determining whether the one or more processors exceed the first demand based on the efficiency.

4. The computer-implemented method of claim 1 , wherein identifying the one or more processors further comprises:

deactivating an inactive processor of the one or more processors by analyzing the first demand.

5. The computer-implemented method of claim 1 , wherein identifying the one or more processors further comprises:

selecting the one or more processors from a set of processors.

6. The computer-implemented method of claim 1 , wherein the monitoring further comprises:

comparing the amount of time to a billing cycle corresponding to the processor.

7. The computer-implemented method of claim 1 , wherein the processor is a third-party processor that differs from a local network processor.

8. A system, comprising:

a memory; and

at least one processor coupled to the memory and configured to:

determine a data set to be cleaned having a first demand corresponding to a size of the data set;

identify one or more processors sufficient to clean the data set based on the first demand;

apply the one or more processors to clean the data set;

monitor an amount of time that a processor of the one or more processors has been operating;

based on the amount of time, identify a second demand corresponding to a remaining amount of the data set to be cleaned; and

determine whether to continue operating the at least one processor based on the second demand.

9. The system of claim 8 , wherein to identify the one or more processors, the at least one processor is further configured to:

recruit an additional processor to the one or more processor by analyzing the first demand.

10. The system of claim 8 , wherein to identify the one or more processors, the at least one processor is further configured to:

calculate an efficiency of the processor by calculating a ratio of time the processor has been idle against time the processor has been active; and

determine whether the one or more processors exceed the first demand based on the efficiency.

11. The system of claim 8 , wherein to identify the one or more processors, the at least one processor is further configured to:

deactivate an inactive processor of the one or more processors by analyzing the first demand.

12. The system of claim 8 , wherein to identify the one or more processors, the at least one processor is further configured to:

select the one or more processors from a set of processors.

13. The system of claim 8 , wherein to monitor the amount of time, the at least one processor is further configured to:

compare the amount of time to a billing cycle corresponding to the processor.

14. The system of claim 8 , wherein the processor is a third-party processor that differs from a local network processor.

15. A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

determining a data set to be cleaned having a first demand corresponding to a size of the data set;

identifying one or more processors sufficient to clean the data set based on the first demand;

applying the one or more processors to clean the data set;

monitoring an amount of time that a processor of the one or more processors has been operating;

based on the amount of time, identifying a second demand corresponding to a remaining amount of the data set to be cleaned; and

determining whether to continue operating at least one of the one or more processors based on the second demand.

16. The non-transitory computer-readable device of claim 15 , wherein to identify the one or more processors, the operations further comprise:

recruiting an additional processor to the one or more processors by analyzing the first demand.

17. The non-transitory computer-readable device of claim 15 , wherein to identify the one or more processors, the operations further comprise:

calculating an efficiency of the processor by calculating a ratio of time the processor has been idle against time the processor has been active; and

determining whether the one or more processors exceed the first demand based on the efficiency.

18. The non-transitory computer-readable device of claim 15 , wherein to identify the one or more processors, the operations further comprise:

deactivating an inactive processor of the one or more processors by analyzing the first demand.

19. The non-transitory computer-readable device of claim 15 , wherein to monitor the amount of time, the operations further comprise:

comparing the amount of time to a billing cycle corresponding to the processor.

20. The non-transitory computer-readable device of claim 15 , wherein the processor is a third-party processor that differs from a local network processor.