SYSTEM AND METHOD FOR GENERATING A REPORT TO A NETWORK OPERATOR BY DISTRIBUTING AGGREGATION OF DATA

• US 20130159511A1
• Filed: 12/10/2012
• Published: 06/20/2013
• Est. Priority Date: 12/14/2011
• Status: Abandoned Application

• Current Assignee: Seven Networks LLC (FIG LLC (d/b/a Fortress Investment Group LLC))
• Original Assignee: Seven Networks Inc
• Inventors: Backholm, Ari, Bott, Ross, Luna, Michael
• Application Number:
  US13/710,336
• Publication Number:
  US 20130159511A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 41/0823 characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability for optimising operational conditions of wireless networks H04W24/02
• CPC Class Codes: H04L 41/083 for increasing network speed
• CPC Class Codes: H04L 43/062 related to network traffic
• CPC Class Codes: H04L 43/065 related to network devices
• CPC Class Codes: H04L 67/025 for remote control or remote monitoring of applications
• CPC Class Codes: H04L 67/289 Intermediate processing functionally located close to the data consumer application, e.g. in same machine, in same home or in same sub-network
• CPC Class Codes: H04L 67/564 Enhancement of application control based on intercepted application data
• CPC Class Codes: H04L 67/568 Storing data temporarily at an intermediate stage, e.g. caching
• CPC Class Codes: H04W 24/10 Scheduling measurement reports ; Arrangements for measurement reports
• CPC Class Codes: H04W 28/06 Optimizing the usage of the radio link, e.g. header compression, information sizing , discarding information system modifying transmission characteristic according to link quality by modifying frame length H04L1/0007; dynamic adaptation of the packet size for flow control or congestion control H04L47/365
• CPC Class Codes: H04W 52/0258 controlling an operation mode according to history or models of usage information, e.g. activity schedule or time of day
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

System and method for generating a report to a network operator by distributed aggregation of data are disclosed. One embodiment includes determining, by a server-side proxy, optimization efficiency for wireless network traffic; tracking, by the server-side proxy, user-related information in the wireless network; based on the optimization efficiency and/or the user-related information, generating the report to be delivered to the network operator or queried by the network operator. In one embodiment, the server-side proxy performs functions related to traffic optimization and management in the wireless network effectuating in traffic alleviation in the wireless network measured by the optimization efficiency.

Claims

1. A method of generating a report to a network operator by distributed aggregation of data, the method, comprising:

determining, by a server-side proxy, optimization efficiency for wireless network traffic;

tracking, by the server-side proxy, user-related information in the wireless network;

based on the optimization efficiency and/or the user-related information, generating the report to be delivered to the network operator or queried by the network operator;

wherein, the server-side proxy performs functions related to traffic optimization and management in the wireless network effectuating in traffic alleviation in the wireless network measured by the optimization efficiency.

2. The method of claim 1, wherein, the optimization efficiency is determined from one or more of, data traffic, signaling traffic, time connected for connections, and battery consumption on mobile devices in the wireless network.

3. The method of claim 1, wherein, the optimization efficiency includes information specific to different mobile applications on the mobile device.

4. The method of claim 1, wherein, the report depicts the optimization efficiency for data by including a comparison of data traffic and saved data traffic as a result of the traffic optimization and management.

5. The method of claim 1, wherein, the report depicts the optimization efficiency for signaling by including a comparison of actual connections and saved connections as a result of the traffic optimization and management.

6. The method of claim 1, wherein, the report depicts the optimization efficiency for connection time by including a comparison of actual connection time and saved connection time as a result of the traffic optimization and management.

7. The method of claim 1, wherein, the user-related information includes total users and new users, total users by application, by bearer, by host, by operation, or by device type.

8. The method of claim 1, further comprising, generating statistical data from the optimization efficiency for the wireless network.

9. The method of claim 1, further comprising, generating statistical data from the optimization efficiency across multiple wireless networks serviced by multiple network operators.

10. The method of claim 1, further comprising, generating trending reports and/or ranking reports from the optimization efficiency and/or the user related information.

11. The method of claim 1, wherein, the wireless network traffic includes mobile network traffic and/or Wifi network traffic.

12. The method of claim 1, wherein, the optimization efficiency is determined in part from information provided by a client-side proxy on a mobile device in the wireless network.

13. The method of claim 12, wherein, the client-side proxy and the server-side proxy as components of a distributed proxy and/or caching system which performs traffic optimization and management in the wireless network.

14. The method of claim 1, wherein, the report is customized for the network operator and individually customizable for different network operators.

15. The method of claim 14, wherein, the report includes custom analyses including one or more of, analysis, comparison, trending across single or multiple dimensions.

16. The method of claim 14, wherein, the report includes custom analyses including one or more of, time-of-the-day, day-of-the-week analyses with trending over time.

17. The method of claim 14, wherein, the report includes custom analyses including predictive analyses including, one or more of usage profile predicting increase in usage and usage profile predicting churn.

18. The method of claim 14, wherein, the report includes custom analyses including predictive analyses including, one or more of usage profile predicting increase in usage and usage profile predicting churn.

19. The method of claim 14, wherein, the report includes custom analyses including alerts for crossing trend lines, changing trends including detecting viral take-up of a new application.

20. The method of claim 14, wherein, the report includes custom analyses including data feed to CRM, network operations, or policy management in real-time, hourly, daily, weekly or monthly basis.