IP Library Granted Patent US 11,824,742
Granted Patent B2
US 11,824,742 · App. 17/713,032 · Granted Nov 21, 2023

Host auto role classifier

Inventors: Arie Bregman (Raanana, IL); Ilan Gersht (Raanana, IL); Avraham Talmor (Raanana, IL)
Assignee: Red Hat, Inc.
H04L43/062H04L43/0817H04L43/0882H04L67/01H04L67/51
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Quick Facts
Patent No.
US 11,824,742
App. No.
17/713,032
Granted
Nov 21, 2023
Kind
B2
Abstract

A method includes receiving one or more characteristics associated with a server of a datacenter. The method further includes analyzing, by a processing device, the one or more characteristics to determine a classification of the server. The method further includes, in view of the determined classification of the server, modifying one or more configurations of the server to increase performance for one or more functionalities corresponding to the determined classification.

Claims (31)

1. A method, comprising:

receiving one or more characteristics associated with a server of a datacenter;

analyzing, by a processing device, the one or more characteristics to determine a classification of the server; and

in view of the determined classification of the server, modifying one or more configurations of the server to increase performance for one or more functionalities corresponding to the determined classification.

2. The method of claim 1 , wherein the one or more characteristics comprise network traffic characteristics, and wherein analyzing the one or more characteristics comprises determining a type of the network traffic.

3. The method of claim 1 , wherein the one or more characteristics comprise port characteristics, and wherein analyzing the one or more characteristics comprises determining an open port on the server.

4. The method of claim 1 , wherein the one or more characteristics comprise input/output characteristics, and wherein analyzing the one or more characteristics comprises determining that there exists a high input/input to or from the server over a defined period of time.

5. The method of claim 1 , wherein the one or more characteristics comprise log characteristics, and wherein analyzing the one or more characteristics comprises determining one or more actions of server identified in the log characteristics.

6. The method of claim 1 , wherein the one or more characteristics comprise process characteristics, and wherein analyzing the one or more characteristics comprises determining one or more processes run by the server.

7. The method of claim 1 , wherein the one or more characteristics comprise kernel parameter characteristics, and wherein analyzing the one or more characteristics comprises scanning one or more loaded modules or parameter values of the server.

8. The method of claim 1 , wherein the one or more characteristics comprise package characteristics, and wherein analyzing the one or more characteristics comprises analyzing one or more packages installed on the server.

9. The method of claim 1 , wherein the analyzing is performed in view of at least two characteristics of the one or more characteristics.

10. The method of claim 9 , further comprising determining two or more confidence values for each of two or more classification options, respectively, wherein the two or more confidence values indicate a likelihood that the two or more classification options of the server are accurate.

11. The method of claim 1 , wherein the one or more characteristics comprise network traffic characteristics and web port characteristics, and wherein analyzing the one or more characteristics results in determining that the server is a web server.

12. A system, comprising:

a memory to store one or more characteristics associated with a server; and

a processing device operatively coupled to the memory, the processing device to:

receive the one or more characteristics associated with the server;

analyze the one or more characteristics to determine a classification of the server; and

in view of the determined classification of the server, modify one or more configurations of the server to increase performance for one or more functionalities corresponding to the determined classification.

13. The system of claim 12 , wherein the one or more characteristics comprise network traffic characteristics, and wherein to analyze the one or more characteristics the processing device is to determine a type of the network traffic.

14. The system of claim 12 , wherein the one or more characteristics comprise port characteristics, and wherein to analyze the one or more characteristics the processing device is to determine an open port on the server.

15. The system of claim 12 , wherein the one or more characteristics comprise input/output characteristics, and wherein to analyze the one or more characteristics the processing device is to determine that there exists a high input/input to or from the server over a defined period of time.

16. The system of claim 12 , wherein the one or more characteristics comprise log characteristics, and wherein to analyze the one or more characteristics the processing device is to determine one or more actions of server identified in the log characteristics.

17. A non-transitory computer-readable storage medium including instructions that, when executed by a processing device, cause the processing device to:

receive one or more characteristics associated with a server;

analyze, by the processing device, the one or more characteristics to determine a classification of the server; and

in view of the determined classification of the server, modify one or more configurations of the server to increase performance for one or more functionalities corresponding to the determined classification.

18. The non-transitory computer-readable storage medium of claim 17 , wherein the one or more characteristics comprise process characteristics, and wherein to analyze the one or more characteristics the processing device is to determine one or more processes run by the server.

19. The non-transitory computer-readable storage medium of claim 17 , wherein the one or more characteristics comprise kernel parameter characteristics, and wherein to analyze the one or more characteristics the processing device is to scan one or more loaded modules or parameter values of the server.

20. The non-transitory computer-readable storage medium of claim 17 , wherein the one or more characteristics comprise package characteristics, and wherein to analyze the one or more characteristics the processing device is to analyze one or more packages installed on the server.

Assignments (2)
CHANGE OF NAME Recorded Mar 3, 2026
From: RED HAT, INC.
To: RED HAT, LLC
Reel/Frame 074913/0759 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 18, 2023
From: BREGMAN, ARIE; GERSHT, ILAN; TALMOR, AVRAHAM
To: RED HAT, INC.
Reel/Frame 065270/0145 →