Integration, management and processing of network data from disparate sources

• US 20030074358A1
• Filed: 09/24/2001
• Published: 04/17/2003
• Est. Priority Date: 09/24/2001
• Status: Abandoned Application

• Current Assignee: My IP Holdings Limited
• Original Assignee: My IP Holdings Limited
• Inventors: Tavoularis, David, Gautier, Vincent, Bouclier, Hugues, Canetti, Youri, Sarbaz, Siamak, Saugeron, Anthony, Bonneau, Philippe
• Application Number:
  US09/962,968
• Publication Number:
  US 20030074358A1
• Time in Patent Office: Days
• US Class Current: 707/10
• CPC Class Codes: H04L 41/0226 Mapping or translating multiple network management protocols
• CPC Class Codes: H04L 41/0631 using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
• CPC Class Codes: H04L 41/0654 using network fault recovery ring fault isolation or reconfiguration in loop networks without recovery actions by a network management system H04L12/437
• CPC Class Codes: H04L 41/20 Network management software packages

Abstract

A layered architecture for a network information management system integrates data about the network supplied by disparate sources, each specific to network equipment from a particular vendor, by mapping the data into a common data model that represents a unified view of the network. The data is stored into a storage structure based on characteristics of the data and the data in the storage structure is subsequently correlated into information pertaining to the unified view of network. The information is presented to a user in various formats. The network information management system can further perform a knowledge analysis on the information to evaluate the network, detect problems in the network, and to suggest solutions to any problems detected. The knowledge analysis is based on a knowledge scenario that relates the information with an analysis process that performs the analysis.

Claims

1. A computerized method of integrating data from disparate sources in a network comprising:

importing the data from the disparate sources;

mapping the data into a common data model;

storing the data in the common data model into a storage structure based on characteristics of the data;

correlating the data in the storage structure to produce information about the network; and

presenting the information to provide a unified view of the network.

2. The computerized method of claim 1 further comprising:

performing a knowledge analysis on the information to evaluate the network using a knowledge scenario.

3. The computerized method of claim 2, wherein the knowledge scenario detects a problem in the network suggests a solution to the problem.

4. The computerized method of claim 3, wherein the knowledge scenario defines a relationship between the information and an analysis process that detects the problem and determines the solution.

5. The computerized method of claim 2, wherein the knowledge scenario defines a relationship between the information and an analysis process that evaluates the network.

6. The computerized method of claim 1 further comprising:

changing the mapping of the data in accordance with changes in the disparate sources.

7. The computerized method of claim 1, wherein the storage structure comprises an multi-dimensional database, and further comprising aggregating the data to produce values to be stored in the multi-dimensional database.

8. The computerized method of claim 1 further comprising:

transforming network statistics obtained from the disparate sources; and

storing the transformed network statistics in the storage structure.

9. The computerized method of claim 1, wherein correlating the data comprises:

selecting a presentation format from a plurality of presentation formats;

retrieving the data from the storage structure required by the presentation format; and

processing the data from the storage structure as necessary to produce the presentation format.

10. The computerized method of claim 9, wherein the data required by the presentation format is selected from the group consisting of text, graphical and geographical data.

11. A computer-readable medium having executable instructions to cause a computer to execute a method of integrating data from disparate sources in a network, the method comprising:

importing the data from the disparate sources;

mapping the data into a common data model;

storing the data in the common data model into a storage structure based on characteristics of the data;

correlating the data in the storage structure to produce information about the network; and

presenting the information to provide a unified view of the network.

12. The computer-readable medium of claim 11, wherein the method further comprises:

performing a knowledge analysis on the information to evaluate the network using a knowledge scenario.

13. The computer-readable medium of claim 12, wherein the knowledge scenario detects a problem in the network suggests a solution to the problem.

14. The computer-readable medium of claim 13, wherein the knowledge scenario defines a relationship between the information and an analysis process that detects the problem and determines the solution.

15. The computer-readable medium of claim 12, wherein the knowledge scenario defines a relationship between the information and an analysis process that evaluates the network.

16. The computer-readable medium of claim 11, wherein the method further comprises:

changing the mapping of the data in accordance with changes in the disparate sources.

17. The computer-readable medium of claim 11, wherein the storage structure comprises an multi-dimensional database, and further comprising aggregating the data to produce values to be stored in the multi-dimensional database.

18. The computer-readable medium of claim 11, wherein the method further comprises:

transforming network statistics obtained from the disparate sources; and

storing the transformed network statistics in the storage structure.

19. The computer-readable medium of claim 11, wherein correlating the data comprises:

selecting a presentation format from a plurality of presentation formats;

retrieving the data from the storage structure required by the presentation format; and

processing the data from the storage structure as necessary to produce the presentation format.

20. The computer-readable medium of claim 19, wherein the data required by the presentation format is selected from the group consisting of text, graphical and geographical data.

21. A computer-readable medium having computer-executable components for a layered management architecture for a network comprising:

an dynamically adaptive importation engine communicatively coupled to a plurality of disparate sources of network data to import the network data from the disparate sources and to map the network data into abstracted data in a common data model that represents a unified view of the network;

a database system communicatively coupled to the dynamically adaptive importation engine to store the abstracted data from the common data model into a database and to retrieve the abstracted data from the database; and

an application server communicatively coupled to the database system to correlate the abstracted data retrieved from the database by the database module into information for the network and to present the information in a particular format.

22. The computer-readable medium of claim 21, wherein the dynamically adaptive importation engine comprises:

a plurality of data drivers, each data driver communicatively coupled to a particular source to import and map the data from the particular source into the abstracted data in the common data model; and

an importation analysis engine communicatively coupled to the common data module to process the abstracted data to determine changes in the particular source and to transform statistics from the particular source.

23. The computer-readable medium of claim 22, wherein each of the plurality of data drivers comprises:

an access module communicatively coupled to the particular data source to obtain the data from the particular source; and

a mapping module communicatively coupled to the access module to map the data from the particular source to the abstracted data in the common data model.

24. The computer-readable medium of claim 23 further comprising a decode module communicatively coupled to the access module and further communicatively coupled to the mapping module to decode encoded data from the particular source.

25. The computer-readable medium of claim 23, wherein the common data model comprises metadata that specifies mappings between the data from the disparate sources and the abstracted data in the common data model.

26. The computer-readable medium of claim 21, wherein the database system comprises a database engine to receive commands from the dynamically adaptive importation engine and from the application server, and to execute the commands on the database.

27. The computer-readable medium of claim 26, wherein the database comprises a relational database and a multi-dimensional database and wherein the database engine determines in which database to store the abstracted data and from which database to retrieved the abstracted data.

28. The computer-readable medium of claim 21, wherein the application server comprises a correlation engine communicatively coupled to the database system and to a plurality of formats to select the particular format, to request required abstracted data for the particular format from the database server, and to process the abstracted data if necessary to produce the particular format.

29. The computer-readable medium of claim 28, wherein the application server further comprises a knowledge engine communicatively coupled to the correlation engine and to a library of scenarios to process the abstracted data for the particular format according to a scenario associated with the particular format to evaluate the network.

30. The computer-readable medium of claim 29, wherein the knowledge engine further detect a problem in the network and suggests a solution to the problem as specified by the scenario associated with the particular format.

31. A computer-readable medium having stored thereon an scenario data structure for a network having disparate data sources comprising:

an analysis module containing computer-executable instructions to evaluate network information in a first presentation format associated with the analysis module; and

a relationship field defining a relationship between a result produced by the analysis module and a second presentation format that presents further network information.

32. A computer-readable medium of claim 31, wherein the result is a detection of a network problem and the second presentation format suggests a solution to the problem.

33. A computerized system comprising:

a processing unit coupled to a memory through a bus and further operable for coupled to a plurality of disparate sources that supply data about a network;

an integration and configuration manager process executed from the memory by the processing unit to cause the processing unit to import the data from the disparate sources and to map the data into a common data model;

a database engine process executed from the memory by the processing unit to cause the processing unit to store the data in the common data model into a database and to retrieve the data from the database; and

an application server process executed from the memory by the processing unit to cause the processing unit to correlate the data retrieved from the database to produce information about the network and to present the information to provide a unified view of the network.

34. The computerized system of claim 33, wherein the application server process further causes the processing unit to perform a knowledge analysis on the information to evaluate the network using a knowledge scenario read from the memory.

35. The computerized system of claim 34, wherein application server process further causes the processing unit to detect a problem in the network and to determine a solution to the problem based on the knowledge scenario.