METHOD AND APPARATUS FOR ENABLING NEAR REAL TIME DATA ANALYSIS

• US 20150163696A1
• Filed: 12/11/2013
• Published: 06/11/2015
• Est. Priority Date: 12/11/2013
• Status: Active Grant

• Current Assignee: Viavi Solutions UK Limted (Lumentum Holdings Inc.)
• Original Assignee: JDSU UK Limited (Lumentum Holdings Inc.)
• Inventors: Randell, Nicholas James, Kenington, Peter, Drawater, Christopher
• Granted Patent: US 9,668,172 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 of enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources, the method comprising, 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.

2. The method of claim 1, wherein the data received at the plurality of distributed components of the data processing system comprises raw communication session data for all communication sessions of the respective network elements.

3. The method of claim 1, wherein the method further comprises, at the plurality of distributed components of the data processing system, storing the data received from the at least one network element of the cellular communication network.

4. The method of claim 1, wherein the subset of the received data extracted and forwarded to the dynamic allocation backend processing resources comprises a subset of communication session data received for each communication session of the respective network elements.

5. The method of claim 4, wherein the same subset of received data is extracted and forwarded to the dynamic allocation backend processing resources for each communication session of the respective network element.

6. The method of claim 1, wherein the subset of the received data extracted and forwarded to the dynamic allocation backend processing resources comprises at least one of:

session connection setup information;

session closedown information;

identification of radio links involved in session;

measured radio propagation delay;

radio bearer or bearers involved during session;

type of session;

measurement reports;

received signal code power; and

subscriber information.

7. The method of claim 1, wherein the method further comprises, at the dynamic allocation backend processing resources:

allocating the received extracted subset of data to at least one processing resource;

pre-processing the received extracted subset of data to enable efficient storage and access of the received extracted subset of data; and

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

8. The method of claim 7, wherein the method further comprises, at the dynamic allocation backend processing resources, performing near-real-time access of the stored, pre-processed data in response to queries from client applications.

9. The method of claim 1, wherein the method comprises forwarding the extracted subset of data to at least one resource allocator component for allocation to backend processing resources.

10. The method of claim 1, wherein the method comprises forwarding the extracted subset of data to dynamic allocation backend processing resources comprising at least one of:

public dynamic allocation processing resources;

private dynamic allocation processing resources;

community dynamic allocation processing resources; and

hybrid dynamic allocation processing resources.

11. The method of claim 1, wherein the method comprises forwarding the extracted subset of data to dynamic allocation backend processing resources comprising at least one of:

at least one shared processing resource; and

at least one centralised processing resource.

12. The method of claim 1, wherein the dynamic allocation backend processing resources comprise cloud processing resources.

13. The method of claim 1, wherein 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;

determining configured data elements to be extracted from received data;

parsing the received data to extract the configured data elements therefrom; and

forwarding the extracted data elements to the dynamic allocation backend processing resources for analytical processing of the extracted data elements.

14. The method of claim 1, wherein the method further comprises calculating geolocation information for the received data, and forwarding the geolocation information along with the extracted subset of data to the dynamic allocation backend processing resources.

15. A data processing system for enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources;

the data processing system comprising a plurality of distributed components arranged to;

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

parse the received data to extract a subset of the received data; and

forward 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.

16. A distributed component of a data processing system for enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources;

the distributed component of the data processing system being arranged to;

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

parse the received data to extract a subset of the received data; and

forward 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.

17. A non-transitory computer program product having computer program code stored thereon for programming a data processing module to perform a method of enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources, the computer program code being arranged to:

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.

18. The non-transitory computer program product of claim 17, wherein the non-transitory computer program product comprises at least one of:

a hard disk, a CD-ROM, an optical storage device, a magnetic storage device, a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), and a Flash memory