INFRASTRUCTURE PERFORMANCE MONITORING

• US 20160087861A1
• Filed: 09/23/2014
• Published: 03/24/2016
• Est. Priority Date: 09/23/2014
• Status: Active Grant

• Current Assignee: Uila Technology Co., Ltd.
• Original Assignee: UILA Networks, Inc.
• Inventors: Kuan, Chia-Chee, Wu, Miles, Nguyen, Dong
• Granted Patent: US 9,935,854 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/122 of virtualised topologies, e.g. software-defined networks [SDN] or network function virtualisation [NFV]
• CPC Class Codes: H04L 43/026 using flow identification
• CPC Class Codes: H04L 43/028 by filtering
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/065 related to network devices
• CPC Class Codes: H04L 43/0817 by checking functioning
• CPC Class Codes: H04L 43/0823 Errors, e.g. transmission errors
• CPC Class Codes: H04L 43/12 Network monitoring probes
• CPC Class Codes: H04L 43/18 Protocol analysers

Abstract

A method and apparatus for infrastructure performance monitoring are described. In one embodiment, the method comprises monitoring virtual application performance, identifying degradation in the application performance, and correlating the degradation to one or more of virtual and physical infrastructure components.

Claims

1. A method for infrastructure performance monitoring, the infrastructure comprising physical and virtual components, the method comprising:

monitoring application performance over the infrastructure by communication exchange with the physical and virtual components, including updating performance counters based on statistics collected from the virtual and physical components;

identifying degradation in the application performance; and

correlating the degradation to one or more virtual and physical infrastructure components.

2. The method defined in claim 1 wherein correlating the degradation is based on compute, storage, and network statistics.

3. The method defined in claim 1 further comprising:

grouping statistics regarding the virtual and physical infrastructure; and

generating visualization analytics corresponding to grouped statistics.

4. The method defined in claim 3 wherein grouping statistics is according to virtual entity type.

5. The method defined in claim 4 wherein the virtual entity type comprises a port group.

6. The method defined in claim 4 wherein the virtual entity type comprises a data store.

7. The method defined by claim 3 wherein the visualization analytics comprise a user interface that depicts application flows across the infrastructure of physical and virtual components.

8. The method defined by claim 7 wherein the user interface illustrates flow-by-flow through the groups of physical and virtual components of the infrastructure.

9. The method defined in claim 3 further comprising generating a user interface having one or more windows depicting performance statistics with correlations between one or more of:

a first set of one or more physical entities with at least a second set of one or more virtual entities or a third set of one or more physical entities utilized by the physical entities in the first set; and

a fourth set of one or more virtual entities with at least a fifth set of one or more virtual entities or a sixth set of one or more physical entities utilized by the virtual entities in the fourth set.

10. A non-transitory machine-readable storage medium containing executable program instructions which when executed by a data processing system cause the system to monitor an infrastructure comprising physical and virtual components by:

monitoring application performance over the infrastructure by communication exchange with the physical and virtual components, including updating performance counters based on statistics collected from the virtual and physical components;

identifying degradation in the application performance; and

correlating the degradation to one or more of virtual and physical infrastructure components.

11. The non-transitory machine-readable storage medium defined in claim 10 wherein correlating the degradation is based on compute, storage, and network statistics.

12. The non-transitory machine-readable storage medium defined in claim 10 further comprising:

grouping statistics regarding the virtual and physical infrastructure; and

generating visualization analytics corresponding to the group statistics.

13. The non-transitory machine-readable storage medium defined in claim 12 wherein grouping statistics is according to virtual entity type.

14. The non-transitory machine-readable storage medium defined in claim 13 wherein the virtual entity type comprises a port group.

15. The non-transitory machine-readable storage medium defined in claim 13 wherein the virtual entity type comprises a data store.

16. The non-transitory machine-readable storage medium defined by claim 12 wherein the visualization analytics comprise a user interface that depicts application flows across the infrastructure of physical and virtual components.

17. The non-transitory machine-readable storage medium defined by claim 16 wherein the user interface illustrates flow-by-flow through the groups of physical and virtual components of the infrastructure.

18. The non-transitory machine-readable storage medium defined by claim 12 wherein the method further comprises generating a user interface having one or more windows depicting performance statistics with correlations between one or more of:

a first set of one or more physical entities with at least a second set of one or more virtual entities or a third set of one or more physical entities utilized by the physical entities in the first set; and

a fourth set of one or more virtual entities with at least a fifth set of one or more virtual entities or a sixth set of one or more physical entities utilized by the virtual entities in the fourth set.