Workload identification and display of workload-specific metrics

Patent metadata

Field	Value
Publication number	US-10606649-B2
Application number	US-201715492860-A
Country	US
Kind code	B2
Filing date	Apr 20, 2017
Priority date	Apr 20, 2017
Publication date	Mar 31, 2020
Grant date	Mar 31, 2020

Abstract

An architecture for implementing a mechanism for automatically displaying metrics specific to a type of workload being processed by a computer system is provided. The mechanism predicts a classification of the workload based on attributes that characterize the workload using a set of workload profiles and/or a set of classification rules that correlate different combinations of attributes of workloads with different classifications of workloads. Based on the predicted classification of the workload, one or more templates including one or more metrics specific to the classification of workload are identified. The template(s) including the metric(s) specific to the classification of the workload may be identified using set of rules that associate the metric(s) with the predicted classification of the workload. A user interface including the metric(s) is generated based on the template(s). The user interface may then be displayed to a user of the computer system.

First claim

What is claimed is:

1. A method for generating a workload-specific user interface, the method comprising:
receiving information describing a workload of a computer system, the information comprising an attribute of the workload;
predicting a classification of the workload of the computer system based at least in part on the attribute of the workload, wherein predicting the classification of the workload of the computer system is further based at least in part on a rule describing a correlation between the attribute of the workload and the classification of the workload, the rule describing the correlation between the attribute of the workload and the classification of the workload correlates an identifier associated with the computer system and the classification of the workload;
identifying a template associated with a metric specific to the classification of the workload;
generating a user interface based at least in part on the template, the user interface comprising the metric specific to the classification of the workload; and
displaying the user interface comprising the metric specific to the classification of the workload.

2. The method of claim 1 , wherein the metric specific to the classification of the workload describes a disk latency, a CPU ready time, or a ratio of virtual CPU to physical CPU.

3. A method for generating a workload-specific user interface, the method comprising:
receiving information describing a workload of a computer system, the information comprising an attribute of the workload;
predicting a classification of the workload of the computer system based at least in part on the attribute of the workload, wherein predicting the classification of the workload of the computer system is further based at least in part on a rule describing a correlation between the attribute of the workload and the classification of the workload, the rule describing the correlation between the attribute of the workload and the classification of the workload correlates an input/output pattern of the workload and the classification of the workload;
identifying a template associated with a metric specific to the classification of the workload;
generating a user interface based at least in part on the template, the user interface comprising the metric specific to the classification of the workload; and
displaying the user interface comprising the metric specific to the classification of the workload.

4. The method of claim 3 , wherein the metric specific to the classification of the workload describes a disk latency, a CPU ready time, or a ratio of virtual CPU to physical CPU.

5. A method for generating a workload-specific user interface, the method comprising:
receiving information describing a workload of a computer system, the information comprising an attribute of the workload;
predicting a classification of the workload of the computer system based at least in part on the attribute of the workload;
identifying a template associated with a metric specific to the classification of the workload;
generating a user interface based at least in part on the template, the user interface comprising the metric specific to the classification of the workload, wherein the metric specific to the classification of the workload describes a distribution of input/output performed across a disk or a distribution of input/output performed across a disk controller; and
displaying the user interface comprising the metric specific to the classification of the workload.

6. The method of claim 5 , wherein predicting the classification of the workload of the computer system is further based at least in part on a set of rules describing a correlation between the attribute of the workload and the classification of the workload and at least one of (i) the set of rules describing the correlation between the attribute of the workload and the classification of the workload correlates an identifier associated with the computer system and the classification of the workload; (ii) the set of rules describing the correlation between the attribute of the workload and the classification of the workload correlates an input/output pattern of the workload and the classification of the workload; or (iii) the set of rules describing the correlation between the attribute of the workload and the classification of the workload correlates a usage of computing resources and the classification of the workload.

7. The method of claim 5 , wherein the metric specific to the classification of the workload describes a disk latency, a CPU ready time, or a ratio of virtual CPU to physical CPU.

8. A method for generating a workload-specific user interface, the method comprising:
receiving information describing a workload of a computer system, the information comprising an attribute of the workload;
predicting a classification of the workload of the computer system based at least in part on the attribute of the workload;
identifying a template associated with a metric specific to the classification of the workload;
generating a user interface based at least in part on the template, the user interface comprising the metric specific to the classification of the workload, wherein generating the user interface based at least in part on the template is further based at least in part on a rule describing a correlation between the metric specific to the classification of the workload and the classification of the workload; and
displaying the user interface comprising the metric specific to the classification of the workload.

9. The method of claim 8 , wherein predicting the classification of the workload of the computer system is further based at least in part on a set of rules describing a correlation between the attribute of the workload and the classification of the workload and at least one of (i) the set of rules describing the correlation between the attribute of the workload and the classification of the workload correlates an identifier associated with the computer system and the classification of the workload; (ii) the set of rules describing the correlation between the attribute of the workload and the classification of the workload correlates an input/output pattern of the workload and the classification of the workload; or (iii) the set of rules describing the correlation between the attribute of the workload and the classification of the workload correlates a usage of computing resources and the classification of the workload.

10. The method of claim 8 , wherein the metric specific to the classification of the workload describes a disk latency, a CPU ready time, or a ratio of virtual CPU to physical CPU.

11. A computer program product embodied on a non-transitory computer readable medium, the computer readable medium having stored thereon a sequence of instructions which, when executed by a processor causes the processor to execute a method for generating a workload-specific user interface, comprising:
receiving information describing a workload of a computer system, the information comprising an attribute of the workload;
predicting a classification of the workload of the computer system based at least in part on the attribute of the workload, wherein predicting the classification of the workload of the computer system is further based at least in part on a rule describing a correlation between the attribute of the workload and the classification of the workload, the rule describing the correlation between the attribute of the workload and the classification of the workload correlates an identifier associated with the computer system and the classification of the workload;
identifying a template associated with a metric specific

Assignees

• Nutanix Inc

Inventors

• Baggerman Cornelis Hendrikus

Classifications

• G06F9/451

  Execution arrangements for user interfaces · CPC title

• G06F40/186 Primary

  Templates · CPC title

• G06F3/0481

  based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance · CPC title

• G06F9/5027 Primary

  the resource being a machine, e.g. CPUs, Servers, Terminals · CPC title

• G06F2209/5019

  Workload prediction · CPC title