Detection and Reporting of Keepalive Messages for Optimization of Keepalive Traffic in a Mobile Network

1. A method of identifying network transactions from a Transport Control Protocol (TCP) stream, comprising: using at least a processor and memory for: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from the TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein the one or more network transaction parameters include a regular interval and a regular size, both determined from the patterns of data sent from and received by the mobile application based on the statistical analysis.

2. A method of identifying network transactions from a Transport Control Protocol (TCP) stream, comprising: using at least a processor and memory for: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from the TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining a number of times a pattern occurs during a time interval; performing a comparison of the number of times the pattern occurs to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

3. A method of identifying network transactions from a Transport Control Protocol (TCP) stream, comprising: using at least a processor and memory for: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from the TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining intervals between occurrences of a pattern; determining a variance of the intervals; performing a comparison of the variance to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

4. A method of identifying network transactions from a Transport Control Protocol (TCP) stream, comprising: using at least a processor and memory for: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from the TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining intervals between occurrences of a pattern; determining a median of the intervals; performing a comparison of the median to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

5. A method of identifying network transactions from a Transport Control Protocol (TCP) stream, comprising: using at least a processor and memory for: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from the TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining a number of times a pattern occurs sequentially; performing a comparison of the number of times the pattern occurs sequentially to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

6. A method of identifying network transactions from a Transport Control Protocol (TCP) stream, comprising: using at least a processor and memory for: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from the TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein optimizing in real-time the data sent further comprises: minimizing a frequency of keepalive messages.

7. The method of claim 6 wherein the one or more network transaction parameters include similar or repeating content within the patterns of data sent from and received by the mobile application.

8. The method of claim 6 wherein the patterns of data sent from and received by the mobile application are recorded in a network communication log along with patterns of data sent from and received by other mobile applications on the mobile device.

9. The method of claim 6 wherein examining patterns of data further comprises: storing the one or more network transaction parameters.

10. The method of claim 6 wherein examining, using statistical analysis, patterns of data, further comprises: determining intervals between occurrences of a pattern; determining a first quartile and a third quartile based on the determined intervals; determining a difference between the first quartile and the third quartile; determining a variance based on the difference and a median interval; performing a comparison of the variance to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

11. The method of claim 6 wherein the identified network transactions are keepalive messages.

12. A device comprising: a communication interface operable to communicatively couple the device to a network; and a processor and a memory storing program codes, coupled to the communication interface, operable to: examine, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determine one or more network transaction parameters based on the examination; identify network transactions from a TCP stream based on the one or more network transaction parameters; and optimize in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, where in order to examine, using statistical analysis, patterns of data, the device is further operable to: determine a number of times a pattern occurs during a time interval; perform a comparison of the number of times the pattern occurs to a threshold; and based on the comparison, determine whether the pattern has been detected as regular.

13. A device comprising: a communication interface operable to communicatively couple the device to a network; and a processor and a memory storing program codes, coupled to the communication interface, operable to: examine, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determine one or more network transaction parameters based on the examination; identify network transactions from a TCP stream based on the one or more network transaction parameters; and optimize in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, where in order to examine, using statistical analysis, patterns of data, the device is further operable to: determine intervals between occurrences of a pattern; determine a variance of the intervals; perform a comparison of the variance to a threshold; and based on the comparison, determine whether the pattern has been detected as regular.

14. A device comprising: a communication interface operable to communicatively couple the device to a network; and a processor and a memory storing program codes, coupled to the communication interface, operable to: examine, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determine one or more network transaction parameters based on the examination; identify network transactions from a TCP stream based on the one or more network transaction parameters; and optimize in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, where in order to examine, using statistical analysis, patterns of data, the device is further operable to: determine intervals between occurrences of a pattern; determine a median of the intervals; perform a comparison of the median to a threshold; and based on the comparison, determine whether the pattern has been detected as regular.

15. A device comprising: a communication interface operable to communicatively couple the device to a network; and a processor and a memory storing program codes, coupled to the communication interface, operable to: examine, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determine one or more network transaction parameters based on the examination; identify network transactions from a TCP stream based on the one or more network transaction parameters; and optimize in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, where in order to examine, using statistical analysis, patterns of data, the device is further operable to: determine a number of times a pattern occurs sequentially; perform a comparison of the number of times the pattern occurs sequentially to a threshold; and based on the comparison, determine whether the pattern has been detected as regular.

16. A device comprising: a communication interface operable to communicatively couple the device to a network; and a processor and a memory storing program codes, coupled to the communication interface, operable to: examine, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determine one or more network transaction parameters based on the examination; identify network transactions from a TCP stream based on the one or more network transaction parameters; and optimize in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, where in order to optimize in real-time the data sent the device is further operable to: minimize a frequency of keepalive messages.

17. The device of claim 16 where in order to examine, using statistical analysis, patterns of data, the device is further operable to: determine intervals between occurrences of a pattern; determine a first quartile and a third quartile based on the determined intervals; determine a difference between the first quartile and the third quartile; determine a variance based on the difference and a median interval; perform a comparison of the variance to a threshold; and based on the comparison, determine whether the pattern has been detected as regular.

18. The device of claim 16 wherein the identified network transactions are keepalive messages.

19. A non-transitory computer-readable storage medium containing program instructions to cause a processor to perform a method comprising: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from a TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining a number of times a pattern occurs during a time interval; performing a comparison of the number of times the pattern occurs to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

20. A non-transitory computer-readable storage medium containing program instructions to cause a processor to perform a method comprising: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from a TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining intervals between occurrences of a pattern; determining a variance of the intervals; performing a comparison of the variance to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

21. A non-transitory computer-readable storage medium containing program instructions to cause a processor to perform a method comprising: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from a TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining intervals between occurrences of a pattern; determining a median of the intervals; performing a comparison of the median to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

22. A non-transitory computer-readable storage medium containing program instructions to cause a processor to perform a method comprising: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from a TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein examining, using statistical analysis, patterns of data, further comprises: determining a number of times a pattern occurs sequentially; performing a comparison of the number of times the pattern occurs sequentially to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

23. A non-transitory computer-readable storage medium containing program instructions to cause a processor to perform a method comprising: examining, using statistical analysis, patterns of data sent from and received by a mobile application on a mobile device; determining one or more network transaction parameters based on the examination; identifying network transactions from a TCP stream based on the one or more network transaction parameters; and optimizing in real-time data sent over a mobile network based on the identified network transactions, wherein the network transactions occur over a same TCP session, and wherein the one or more network transaction parameters include content following a certain pattern, wherein optimizing in real-time the data sent further comprises: minimizing a frequency of keepalive messages.

24. The non-transitory computer-readable storage medium of claim 23 wherein examining, using statistical analysis, patterns of data, further comprises: determining intervals between occurrences of a pattern; determining a first quartile and a third quartile based on the determined intervals; determining a difference between the first quartile and the third quartile; determining a variance based on the difference and a median interval; performing a comparison of the variance to a threshold; and based on the comparison, determining whether the pattern has been detected as regular.

25. The non-transitory computer-readable storage medium of claim 23 wherein the identified network transactions are keepalive messages.