Systems and methods for business network management discovery and consolidation

• US 8,543,653 B2
• Filed: 11/11/2010
• Issued: 09/24/2013
• Est. Priority Date: 11/11/2010
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Bhatt, Ankur, Ritter, Daniel, Westmann, Till, Denner, Jrgen
• Primary Examiner(s): JEAN GILLES, JUDE
• Application Number:
  US12/944,006
• Publication Number:
  US 20120124140A1
• Time in Patent Office: 1,048 Days
• Field of Search: 709/206, 709/224, 709/223, 709/245, 709/225
• US Class Current: 709/206
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation

Abstract

According to some embodiments, a plurality of interconnected entities may be discovered in a network landscape. A subset of the entities may then be automatically consolidated into a business participant, the consolidating may performed in accordance with at least one rule based algorithm. A business process landscape, including the business participant, may then be generated and/or displayed to an operator.

Claims

1. A computer-implemented method, comprising:

discovering a plurality of interconnected entities in a network landscape;

automatically consolidating a subset of the entities into a business participant, wherein said consolidating is performed in accordance with at least one rule based algorithm; and

generating a business process landscape including the business participant;

wherein one of the entities in the subset of the entities consolidated into the business participant in the business process landscape is a system;

wherein said discovering a plurality of interconnected entities in a network landscape comprises;

discovering information about the subset of the entities consolidated into the business participant in the business process landscape, the information discovered about the subset of the entities consolidated into the business participant including a plurality of source models and a plurality of different representations of the system; and

wherein said automatically consolidating a subset of the entities into a business participant comprises;

performing similarity detection and relationship determination across the source models in accordance with the at least one rule based algorithm.

2. The method of claim 1, wherein at least some of the entities are associated with at least one of:

(i) a business application, (ii) a business system, (iii) a file system, (iv) a database management system, or (v) an enterprise resource planning system.

3. The method of claim 1, wherein said discovering comprises analyzing incoming call configuration information and outgoing call configuration information.

4. The method of claim 3, wherein said discovering is based at least in part on information received from an operator.

5. The method of claim 1, wherein said consolidating is based at least in part on a matching, similarity, or relation analysis.

6. The method of claim 5, wherein said consolidating is based at least in part on information received from an operator.

7. The method of claim 1, wherein the algorithm comprises a heuristic algorithm.

8. The method of claim 1, wherein the algorithm is based at least in part on:

(i) an application system overview, (ii) product versions, (iii) connectivity information, (iv) integration running on middleware systems or application systems, (v) interfaces, (vi) integration process models, (vii) operational data, (viii) business process descriptions, (ix) business roles and participants, (x) business conversations, or (xi) business collaborations.

9. The method of claim 1, wherein said discovering and said consolidating are performed in substantially real time.

10. The method of claim 1, wherein said discovering and said consolidating comprise substantially continuous processes.

11. The method of claim 1, wherein at least one of said discovering and said consolidating are based on a source model representing meta models and operation data accessible via an application programming interface.

12. The method of claim 11, wherein the application programming interface is associated with at least one of:

(i) an application system, or (ii) an integration bus.

18. The method of claim 1, wherein the source models included in the information discovered about the subset of the entities consolidated into the business participant include redundancy and incoherence.

19. The method of claim 1, further comprising:

bringing the plurality of different representations of the system into a common representation.

20. The method of claim 1, wherein the performing similarity detection and relationship determination across the source models in accordance with the at least one rule based algorithm comprises:

performing similarity detection and relationship determination across the source models based on ontology, taxonomy and concepts of pattern matching and pattern recognition.

13. A network management server, comprising:

a network service layer platform to discover a plurality of interconnected entities in a network landscape; and

a network consolidation layer platform to automatically consolidate a subset of the entities into a business participant, wherein said consolidating is performed in accordance with at least one rule based algorithm;

wherein one of the entities in the subset of the entities consolidated into the business participant in the business process landscape is a system;

wherein said network service layer platform to discover a plurality of interconnected entities in a network landscape comprises;

a network service layer platform to discover information about the subset of the entities consolidated into the business participant in the business process landscape, the information discovered about the subset of the entities consolidated into the business participant including a plurality of source models and a plurality of different representations of the system; and

wherein the network consolidation layer platform to automatically consolidate a subset of the entities into a business participant comprises;

a network consolidation layer platform to perform similarity detection and relationship determination across the source models in accordance with the at least one rule based algorithm.

14. The network management server of claim 13, wherein network source layer platform further includes at least one of:

(i) an explore and analysis service, (ii) an integration model deployment service, (iii) a source read agent, (iv) a source write agent, or (v) source models.

15. The network management server of claim 13, wherein the network consolidation layer platform further includes at least one of:

(i) a consolidated network model or (ii) a consolidator.

16. The network management server of claim 13, further comprising:

a network integration model layer platform to provide a graphical user interface displaying a business process landscape that includes the business participant.

17. The network management server of claim 16, wherein the network integration model layer platform includes at least one of:

(i) an operation linker, (ii) a simulator and optimizer, or (iii) an enrichment and integration model component.

21. The network management server of claim 13, wherein the source models included in the information discovered about the subset of the entities consolidated into the business participant include redundancy and incoherence.

22. The network management server of claim 13, further comprising:

a layer to bring the plurality of different representations of the system into a common representation.

23. The network management server of claim 13, wherein the network consolidation layer platform to perform similarity detection and relationship determination across the source models in accordance with the at least one rule based algorithm comprises:

a network consolidation layer platform to perform similarity detection and relationship determination across the source models based on ontology, taxonomy and concepts of pattern matching and pattern recognition.

24. A non-transitory, computer-readable medium storing program code executable by a computer to perform a method, said method comprising:

discovering a plurality of interconnected entities in a network landscape;

automatically consolidating a subset of the entities into a business participant, wherein said consolidating is performed in accordance with at least one rule based algorithm; and

generating a business process landscape including the business participant;

wherein one of the entities in the subset of the entities consolidated into the business participant in the business process landscape is a system;

wherein said discovering a plurality of interconnected entities in a network landscape comprises;

discovering information about the subset of the entities consolidated into the business participant in the business process landscape, the information discovered about the subset of the entities consolidated into the business participant including a plurality of source models and a plurality of different representations of the system; and

wherein said automatically consolidating a subset of the entities into a business participant comprises;

performing similarity detection and relationship determination across the source models in accordance with the at least one rule based algorithm.

25. The non-transitory, computer-readable medium of claim 24, wherein the source models included in the information discovered about the subset of the entities consolidated into the business participant include redundancy and incoherence.

26. The non-transitory, computer-readable medium of claim 24, the method further comprising:

bringing the plurality of different representations of the system into a common representation.

27. The non-transitory, computer-readable medium of claim 24, wherein the performing similarity detection and relationship determination across the source models in accordance with the at least one rule based algorithm comprises:

performing similarity detection and relationship determination across the source models based on ontology, taxonomy and concepts of pattern matching and pattern recognition.