MACHINE LEARNING-DERIVED UNIVERSAL CONNECTOR

• US 20160267170A1
• Filed: 03/12/2015
• Published: 09/15/2016
• Est. Priority Date: 03/12/2015
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Inventors: Hastings, Nathan Allin, Versteeg, Steven Cornelis, Yao, Xien, Bird, John Sinclair
• Granted Patent: US 10,089,384 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/564 Enhancement of application control based on intercepted application data

Abstract

In a computer-implemented method for endpoint management, a plurality of messages communicated between a target endpoint and a client are recorded, in a computer-readable memory. Ones of the messages are clustered into respective groups, where the respective groups correspond to respective operation types of the ones of the messages included therein. For the respective operation types, respective message structures used by the target endpoint are determined based on commonalities among the ones of the messages of the respective groups corresponding to the operation types. For one of the respective operation types, a request to the target endpoint is generated in accordance with a corresponding one of the respective message structures used by the target endpoint. Related computer systems and computer program products are also discussed.

Claims

1. A computer-implemented method, comprising:

recording, in a computer-readable memory, a plurality of messages communicated between a target endpoint and a client;

clustering ones of the messages into respective groups, wherein the respective groups correspond to respective operation types of the ones of the messages included therein;

determining, for the respective operation types, respective message structures used by the target endpoint based on commonalities among the ones of the messages of the respective groups corresponding thereto; and

generating, for one of the respective operation types, a request to the target endpoint in accordance with a corresponding one of the respective message structures used by the target endpoint,

wherein the recording, the clustering, the determining, and the generating comprise operations performed by a processor.

2. The method of claim 1, wherein determining the respective message structures for the respective operation types comprises:

identifying, for the respective operation types, constant and variable sections of the respective message structures based on the commonalities among the ones of the messages of the respective groups corresponding thereto and independent of a communications protocol used by the target endpoint.

3. The method of claim 2, wherein the ones of the messages of the respective groups comprise requests to the target endpoint, and wherein identifying the constant and variable sections of the respective message structures for the respective operation types further comprises:

aligning the requests of the respective groups according to respective positions thereof; and

identifying, for the respective operation types, the constant and variable sections of the respective message structures based on a frequency of occurrence of the commonalities at the respective positions of the requests of the respective groups corresponding thereto indicated by the aligning.

4. The method of claim 3, wherein the commonalities comprise common characters that are present at the respective positions of ones of the requests of the respective groups, and further comprising:

creating, for the respective operation types, respective request prototypes comprising fields representing the constant and variable sections of the respective message structures used by the target endpoint for the respective operation types,

wherein, for the respective request prototypes, the fields representing the constant sections include corresponding ones of the common characters.

5. The method of claim 4, wherein generating the request to the target endpoint for the one of the respective operation types comprises:

selecting one of the request prototypes corresponding to the one of the operation types; and

for the one of the request prototypes, populating ones of the fields representing the variable sections with data from an external database to generate the request to the target endpoint.

6. The method of claim 5, wherein the data corresponds to a user identity in a system employing a message structure different from the respective message structures used by the target endpoint, and wherein the request associates the user identity with an account of the target the endpoint.

7. The method of claim 1, wherein the clustering comprises:

clustering the ones of the messages into the respective groups responsive to receiving user input indicating the respective operation types of the ones of the messages.

8. The method of claim 1, wherein the clustering comprises:

clustering the ones of the messages into the respective groups based on similarities therebetween calculated using a distance function; and

then

classifying the respective groups as corresponding to the respective operation types responsive to receiving user input indicative thereof.

9. A computer system, comprising:

a processor; and

a memory coupled to the processor, the memory comprising computer readable program code embodied therein that, when executed by the processor, causes the processor to perform operations comprising;

recording, in a computer-readable memory, a plurality of messages communicated between a target endpoint and a client;

clustering ones of the messages into respective groups, wherein the respective groups correspond to respective operation types of the ones of the messages included therein;

determining, for the respective operation types, respective message structures used by the target endpoint based on commonalities among the ones of the messages of the respective groups corresponding thereto; and

generating, for one of the respective operation types, a request to the target endpoint in accordance with a corresponding one of the respective message structures used by the target endpoint.

10. The computer system of claim 9, wherein, in determining the respective message structures for the respective operation types, the computer readable program code further causes the processor to perform operations comprising:

identifying, for the respective operation types, constant and variable sections of the respective message structures based on the commonalities among the ones of the messages of the respective groups corresponding thereto and independent of a communications protocol used by the target endpoint.

11. The computer system of claim 10, wherein the ones of the messages of the respective groups comprise requests to the target endpoint, and wherein, in identifying the constant and variable sections of the respective message structures for the respective operation types, the computer readable program code further causes the processor to perform operations comprising:

aligning the requests of the respective groups according to respective positions thereof; and

identifying, for the respective operation types, the constant and variable sections of the respective message structures based on a frequency of occurrence of the commonalities at the respective positions of the requests of the respective groups corresponding thereto indicated by the aligning.

12. The computer system of claim 11, wherein the commonalities comprise common characters that are present at the respective positions of ones of the requests of the respective groups, and wherein the computer readable program code further causes the processor to perform operations comprising:

creating, for the respective operation types, respective request prototypes comprising fields representing the constant and variable sections of the respective message structures used by the target endpoint for the respective operation types,

wherein, for the respective request prototypes, the fields representing the constant sections include corresponding ones of the common characters.

13. The computer system of claim 12, wherein, in generating the request to the target endpoint for the one of the respective operation types, the computer readable program code further causes the processor to perform operations comprising:

selecting one of the request prototypes corresponding to the one of the operation types; and

for the one of the request prototypes, populating ones of the fields representing the variable sections with data from an external database to generate the request to the target endpoint.

14. The computer system of claim 13, wherein the data corresponds to a user identity in a system employing a message structure different from the respective message structures used by the target endpoint, and wherein the request associates the user identity with an account of the target the endpoint.

15. A computer program product, comprising:

a computer readable storage medium having computer readable program code embodied in the medium, the computer readable program code comprising;

computer readable code to record, in a computer-readable memory, a plurality of messages communicated between a target endpoint and a client;

computer readable code to cluster ones of the messages into respective groups, wherein the respective groups correspond to respective operation types of the ones of the messages included therein;

computer readable code to determine, for the respective operation types, respective message structures used by the target endpoint based on commonalities among the ones of the messages of the respective groups corresponding thereto; and

computer readable code to generate, for one of the respective operation types, a request to the target endpoint in accordance with a corresponding one of the respective message structures used by the target endpoint.

16. The computer program product of claim 15, wherein the computer readable code to determine the respective message structures for the respective operation types further comprises:

computer readable code to identify, for the respective operation types, constant and variable sections of the respective message structures based on the commonalities among the ones of the messages of the respective groups corresponding thereto and independent of a communications protocol used by the target endpoint.

17. The computer program product of claim 16, wherein the ones of the messages of the respective groups comprise requests to the target endpoint, and wherein the computer readable code to identify the constant and variable sections of the respective message structures for the respective operation types further comprises:

computer readable code to align the requests of the respective groups according to respective positions thereof; and

computer readable code to identify, for the respective operation types, the constant and variable sections of the respective message structures based on a frequency of occurrence of the commonalities at the respective positions of the requests of the respective groups corresponding thereto indicated by the aligning.

18. The computer program product of claim 17, wherein the commonalities comprise common characters that are present at the respective positions of ones of the requests of the respective groups, and wherein the computer readable program code further comprises:

computer readable code to create, for the respective operation types, respective request prototypes comprising fields representing the constant and variable sections of the respective message structures used by the target endpoint for the respective operation types,

wherein, for the respective request prototypes, the fields representing the constant sections include corresponding ones of the common characters.

19. The computer program product of claim 18, wherein the computer readable code to generate the request to the target endpoint for the one of the respective operation types comprises:

computer readable code to select one of the request prototypes corresponding to the one of the operation types; and

computer readable code to populate, for the one of the request prototypes, ones of the fields representing the variable sections with data from an external database to generate the request to the target endpoint.

20. The computer program product of claim 19, wherein the data corresponds to a user identity in a system employing a message structure different from the respective message structures used by the target endpoint, and wherein the request associates the user identity with an account of the target the endpoint.