Method and apparatus for enabling near real time data analysis

• US 9,668,172 B2
• Filed: 12/11/2013
• Issued: 05/30/2017
• Est. Priority Date: 12/11/2013
• Status: Active Grant

• Current Assignee: Viavi Solutions UK Limted (Lumentum Holdings Inc.)
• Original Assignee: Viavi Solutions UK Limted (Lumentum Holdings Inc.)
• Inventors: Kenington, Peter, Randell, Nicholas James, Drawater, Christopher
• Primary Examiner(s): Magloire, Vladimir
• Assistant Examiner(s): TACSIK, ERNEST G
• Application Number:
  US14/103,456
• Publication Number:
  US 20150163696A1
• Time in Patent Office: 1,266 Days
• Field of Search: 4554561
• CPC Class Codes: H04L 41/14 Network analysis or design
• CPC Class Codes: H04L 43/028 by filtering
• CPC Class Codes: H04L 43/12 Network monitoring probes
• CPC Class Codes: H04W 24/04 Arrangements for maintaining operational condition
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 28/16 Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
• CPC Class Codes: H04W 8/00 Network data management
• CPC Class Codes: H05K 999/99 dummy group

Abstract

A method and apparatus for enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources. The method comprises, at each of a plurality of distributed components of a data processing system, receiving data from at least one network element of the cellular communication network, parsing the received data to extract a subset of the received data, and forwarding the extracted subset of data to the dynamic allocation backend processing resources for analytical processing of the extracted subset of data for the wireless communication network.

Claims

1. A method comprising:

receiving, by a device, data from at least one network element of a cellular communication network;

identifying, in near-real time of receiving the data and by the device, at least one data element that is required to generate desired analytical data based on analyzing a plurality of data elements included in the data;

parsing, in near-real time and by the device, the data to extract a subset of the data,

the subset of the data being based on the identified at least one data element,

the subset of the data including at least one of;

information associated with a measured radio propagation delay, or

information associated with a received signal code power;

determining, in near-real time and by the device, geolocation information based on at least one of the information associated with the measured radio propagation delay or the information associated with the received signal code power included in the subset of the data; and

forwarding, in near-real time and by the device, the subset of the data and the geolocation information to processing resources for near-real time analytical processing of the subset of the data using the geolocation information,

the processing resources including at least one of;

public dynamic allocation processing resources,

private dynamic allocation processing resources,

community dynamic allocation processing resources,

hybrid dynamic allocation processing resources,

a shared processing resource, or

a centralized processing resource, and

the processing resources being included in a group of dynamically allocated processing resources,

the group of dynamically allocated processing resources being scaled, based on a demand for resources,

the subset of the data and the geolocation information being pre-processed to create pre-processed data, and

the pre-processed data being used to generate a response to a query for information associated with at least some of the pre-processed data.

2. The method of claim 1, where the data includes all raw communication session data for all communication sessions of the at least one network element.

3. The method of claim 1, where the subset of the data and the geolocation information are stored.

4. The method of claim 1, where

the subset of the data is allocated to at least one processing resource of the processing resources, and

the pre-processed data is stored for subsequent near-real-time analysis.

5. The method of claim 4, where the near-real-time analysis is performed based on a request from a client application.

6. The method of claim 1, where the processing resources include cloud processing resources.

16. The method of claim 1, where the subset of data includes the information associated with the measured radio propagation delay.

17. The method of claim 1, where the geolocation information is based on a signal strength measurement received from a mobile communication unit.

18. The method of claim 1, where the geolocation information is based on a round-trip delay (RTD) measurement for a signal between a mobile communication unit and a base station.

7. A system comprising:

one or more devices to;

receive data from at least one network element of a cellular communication network;

identify, in near-real time, at least one data element that is required to generate desired analytical data based on analyzing a plurality of data elements included in the data;

parse, in near-real time, the data to extract a subset of the data,

the subset of the data being based on the identified at least one data element,

the subset of the data including at least one of;

information associated with a measured radio propagation delay, or

information associated with a received signal code power;

determine, in near-real time, geolocation information based on at least one of the information associated with the measured radio propagation delay or the information associated with the received signal code power included in the subset of the data; and

forward, in near-real time, the subset of the data and the geolocation information to processing resources for near-real time analytical processing of the subset of the data using the geolocation information,

the processing resources including at least one of;

public dynamic allocation processing resources,

private dynamic allocation processing resources,

community dynamic allocation processing resources,

hybrid dynamic allocation processing resources,

a shared processing resource, or

a centralized processing resource, and

the processing resources being included in a group of dynamically allocated processing resources,

the group of dynamically allocated processing resources being scaled, based on a demand for resources,

the subset of the data and the geolocation information being pre-processed to create pre-processed data, and

the pre-processed data being used to generate a response to a query for information associated with at least some of the pre-processed data.

10. The system of claim 7, where

the subset of the data is allocated to at least one processing resource of the processing resources, and

the pre-processed data is stored for subsequent near-real-time analysis.

11. The system of claim 10, where the near-real-time analysis is performed based on a request from a client application.

8. A device comprising:

a memory to store instructions; and

a processor to execute the instructions to;

receive data from at least one network element of a cellular communication network;

identify, in near-real time, at least one data element that is required to generate desired analytical data based on analyzing a plurality of data elements included in the data;

parse, in near-real time, the data to extract a subset of the data,

the subset of the data being based on the identified at least one data element,

the subset of the data including at least one of;

information associated with a measured radio propagation delay, or

information associated with a received signal code power;

determine, in near-real time, geolocation information based on at least one of the information associated with the measured radio propagation delay or the information associated with the received signal code power included in the subset of the data; and

forward, in near-real time, the subset of the data to processing resources for near-real time analytical processing of the subset of the data using the geolocation information,

the processing resources including at least one of;

public dynamic allocation processing resources,

private dynamic allocation processing resources,

community dynamic allocation processing resources,

hybrid dynamic allocation processing resources,

a shared processing resource, or

a centralized processing resource, and

the processing resources being included in a group of dynamically allocated processing resources,

the group of dynamically allocated processing resources being scaled, based on a demand for resources,

the subset of the data and the geolocation information being pre-processed to create pre-processed data, and

the pre-processed data being used to generate a response to a query for information associated with at least some of the pre-processed data.

12. The device of claim 8, where

the subset of the data is allocated to at least one processing resource of the processing resources, and

the pre-processed data is stored for subsequent near-real-time analysis.

13. The device of claim 12, where the near-real-time analysis is performed based on a request from a client application.

19. The device of claim 8, where the geolocation information is based on a signal strength measurement received from a mobile communication unit.

20. The device of claim 8, where the geolocation information is based on a round-trip delay (RTD) measurements for a signal between a mobile communication unit and a base station.

9. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions which, when executed by a processor of a device, cause the processor to;

receive data from at least one network element of a cellular communication network;

identify, in near-real time, at least one data element that is required to generate desired analytical data based on analyzing a plurality of data elements included in the data;

parse, in near-real time, the data to extract a subset of the data,

the subset of the data being based on the identified at least one data element,

the subset of the data including at least one of;

information associated with a measured radio propagation delay, or

information associated with a received signal code power;

determine, in near-real time, geolocation information based on at least one of the information associated with the measured radio propagation delay or the information associated with the received signal code power included in the subset of the data; and

forward, in near-real time, the subset of the data to processing resources for near-real time analytical processing of the subset of the data using the geolocation information,

the processing resources including at least one of;

public dynamic allocation processing resources,

private dynamic allocation processing resources,

community dynamic allocation processing resources,

hybrid dynamic allocation processing resources,

a shared processing resource, or

a centralized processing resource, and

the processing resources being included in a group of dynamically allocated processing resources,

the group of dynamically allocated processing resources being scaled, based on a demand for resources,

the subset of the data and the geolocation information being pre-processed to create pre-processed data, and

the pre-processed data being used to generate a response to a query for information associated with at least some of the pre-processed data.

14. The non-transitory computer-readable medium of claim 9, where

the subset of the data is allocated to at least one processing resource of the processing resources, and

the pre-processed data is stored for subsequent near-real-time analysis.

15. The non-transitory computer-readable medium of claim 14, where the near-real-time analysis is performed based on a request from a client application.