Method and apparatus for enabling near real time data analysis

• US 10,142,888 B2
• Filed: 05/18/2017
• Issued: 11/27/2018
• 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: Randell, Nicholas James, Kenington, Peter, Drawater, Christopher
• Primary Examiner(s): Wang-Hurst, Kathy
• Assistant Examiner(s): Tacsik, Ernest
• Application Number:
  US15/599,106
• Publication Number:
  US 20170257798A1
• Time in Patent Office: 558 Days
• Field of Search: None
• 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

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 one or more devices, a subset of data from each of a plurality of mobile switching centers,

the subset of data, from each of the plurality of mobile switching centers, having been parsed from raw communication session data received from at least one radio network controller of a cellular communication network, and

the subset of data being less than the raw communication session data received at the at least one radio network controller;

dynamically allocating, by the one or more devices, the subset of data to processing resources shared by the plurality of mobile switching centers,

the processing resources being scaled based on a demand for the processing resources, and

the processing resources being included in the one or more devices;

pre-processing, by the processing resources, the subset of data to generate pre-processed data,

the pre-processing including performing an extract, transform, and load operation on the subset of data, and

the pre-processed data being accessible via a query within near real time of the raw communication session data being made available from the at least one radio network controller;

receiving, by the one or more devices, the query related to the pre-processed data; and

accessing, by the one or more devices, the pre-processed data based on the query.

2. The method of claim 1, where the subset of data includes at least one of:

information associated with a measured radio propagation delay, or

information associated with a received signal code power.

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

4. The method of claim 1, where the pre-processed data is a summary database.

5. The method of claim 1, where accessing the pre-processed data includes:

accessing the pre-processed data in near-real time or real time.

6. The method of claim 1, where the query is received from an application server;

and

where the method further comprises;

sending a response to the application server based on accessing the pre-processed data.

18. The method of claim 1, where the raw session communication session data includes layer 3 data.

7. A device, comprising:

one or more processors to;

receive a subset of data from each of a plurality of mobile switching centers,

the subset of data, from each of the plurality of mobile switching centers, having been parsed from raw communication session data received from at least one radio network controller of a cellular communication network; and

the subset of data being less than the raw communication session data received at the at least one radio network controller

dynamically allocate the subset of data to processing resources shared by the plurality of mobile switching centers,

the processing resources being scaled based on a demand for the processing resources, and

the processing resources being included in the one or more processors;

pre-process the subset of data to generate pre-processed data,

the pre-processing including performing an extract, transform, and load operation on the subset of data, and

the pre-processed data being accessible via a query within near real time of the raw communication session data being made available from the at least one radio network controller;

receive the query related to the pre-processed data; and

access the pre-processed data based on the query.

8. The device of claim 7, where the subset of data includes at least one of:

information associated with a measured radio propagation delay, or

information associated with a received signal code power.

9. The device of claim 7, where the processing resources include 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.

10. The device of claim 7, where the pre-processed data is a summary database.

11. The device of claim 7, where the one or more processors, when accessing the pre-processed data, are to:

access the pre-processed data in near-real time or real time.

12. The device of claim 7, where the query is received from an application server;

and

where the one or more processors are further to;

send a response to the application server based on the access.

19. The device of claim 7, where the raw session communication session data includes layer 3 data.

13. 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 a subset of data from each of a plurality of mobile switching centers,

the subset of data, from each of the plurality of mobile switching centers, having been parsed from raw communication session data received from at least one radio network controller of a cellular communication network, and

the subset of data being less than the raw communication session data received at the at least one radio network controller;

dynamically allocate the subset of data to processing resources shared by the plurality of mobile switching centers,

the processing resources being scaled based on a demand for the processing resources, and

the processing resources being included in the processor;

pre-process the subset of data to generate pre-processed data,

the pre-processing including performing an extract, transform, and load operation on the subset of data, and

the pre-processed data being accessible via a query within near real time of the raw communication session data being made available from the at least radio network controller;

receive the query related to the pre-processed data; and

access the pre-processed data based on the query.

14. The non-transitory computer-readable medium of claim 13, where the subset of data includes at least one of:

information associated with a measured radio propagation delay, or

information associated with a received signal code power.

15. The non-transitory computer-readable medium of claim 13, where the processing resources include 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.

16. The non-transitory computer-readable medium of claim 13, where the pre-processed data is a summary database.

17. The non-transitory computer-readable medium of claim 13, where the one or more instructions, that cause the processor to access the pre-processed data, cause the processor to:

access the pre-processed data in near-real time or real time.

20. The non-transitory computer-readable medium of claim 13, where the one or more instructions, that cause the processor to access the pre-processed data, cause the processor to:

access the pre-processed data in a form of at least one of;

one or more maps,

one or more graphs, or

one or more charts.