Systems and methods for semi-automatic workload domain deployments

Patent metadata

Field	Value
Publication number	US-10855807-B2
Application number	US-201916258466-A
Country	US
Kind code	B2
Filing date	Jan 25, 2019
Priority date	Jan 25, 2019
Publication date	Dec 1, 2020
Grant date	Dec 1, 2020

Abstract

A system and method for semi-automatic workload domain deployment in a computing environment uses a user host selection of at least one host computer for a workload domain to automatically recommend candidate host computers for the workload domain from available host computers using relative and absolute selection criteria. The relative selection criteria include criteria that are based on properties of any manually selected host computers, while the absolute selection criteria include criteria that are not based on properties of any manually selected host computers. Another user selection of at least one of the candidate host computers can then be made for the workload domain. The workload domain is deployed using the user host selections of the at least one hot computer and the at least one of the candidate host computers.

First claim

What is claimed is:

1. A computer-implemented method for semi-automatic workload domain deployment in a computing environment, the computer-implemented method comprising:
receiving a request to deploy a workload domain;
displaying available host computers for the workload domain;
receiving a user host selection of at least one of the available host computers;
when an auto-recommend setting is enabled, computing relative and absolute selection criteria for automatic host recommendation from the available host computers that have not been manually selected, the relative selection criteria including criteria that are based on properties of any manually selected host computers, the absolute selection criteria including criteria that are not based on the properties of any manually selected host computers, wherein the relative selection criteria include comparisons of a property of an available host computer to a statistical value of the same property of the any manually selected host computers, wherein the property is one of memory size, processor count and storage device capacity;
analyzing the available host computers that have not been manually selected using the relative and absolute selection criteria to automatically recommend candidate host computers, each of the candidate host computers meeting at least one of the relative and absolute selection criteria;
displaying the candidate host computers for user selection;
receiving another user host selection of at least one of the candidate host computers; and
deploying the workload domain using at least the user host selections of the at least one of the available host computers and the at least one of the candidate host computers.

2. The computer-implemented method of claim 1 , wherein analyzing the available host computers that have not been manually selected includes excluding the available host computers that have not been manually selected that do not meet a mandatory pass/fail criterion from the relative and absolute selection criteria.

3. The computer-implemented method of claim 1 , further comprising:
displaying the relative and absolute selection criteria for user prioritization; and
receiving the user prioritization of the relative and absolute selection criteria so that the candidate host computers are displayed for user selection based on the user prioritization of the relative and absolute selection criteria.

4. The computer-implemented method of claim 3 , further comprising:
computing criteria values of the candidate host computers for the relative and absolute selection criteria, each criteria value being a result of one of the relative and absolute selection criteria being applied to a particular candidate host computer; and
sorting the candidate host computers in a particular order based on the criteria values.

5. The computer-implemented method of claim 4 , wherein sorting the candidate host computers includes sorting the candidate host computers in the particular order using the criteria values of the highest prioritized criteria of the user prioritization.

6. The computer-implemented method of claim 1 , wherein the relative selection criteria include comparisons of a health metric of an available host computer to health metrics of the manually selected host computers.

7. The computer-implemented method of claim 1 , wherein the absolute selection criteria include at least one criterion based on memory size, processor count, storage device.

8. A non-transitory computer-readable storage medium containing program instructions for a method for semi-automatic workload domain deployment in a computing environment, wherein execution of the program instructions by one or more processors of a computer system causes the one or more processors to perform steps comprising:
receiving a request to deploy a workload domain;
displaying available host computers for the workload domain;
receiving a user host selection of at least one of the available host computers;
when an auto-recommend setting is enabled, computing relative and absolute selection criteria for automatic host recommendation from the available host computers that have not been manually selected, the relative selection criteria including criteria that are based on properties of any manually selected host computers, the absolute selection criteria including criteria that are not based on the properties of any manually selected host computers, wherein the relative selection criteria include comparisons of a property of an available host computer to a statistical value of the same property of the any manually selected host computers, wherein the property is one of memory size, processor count and storage device capacity;
analyzing the available host computers that have not been manually selected using the relative and absolute selection criteria to automatically recommend candidate host computers, each of the candidate host computers meeting at least one of the relative and absolute selection criteria;
displaying the candidate host computers for user selection;
receiving another user host selection of at least one of the candidate host computers; and
deploying the workload domain using at least the user host selections of the at least one of the available host computers and the at least one of the candidate host computers.

9. The non-transitory computer-readable storage medium of claim 8 , wherein analyzing the available host computers that have not been manually selected includes excluding the available host computers that have not been manually selected that do not meet a mandatory pass/fail criterion from the relative and absolute selection criteria.

10. The non-transitory computer-readable storage medium of claim 9 , wherein the steps further comprise:
computing criteria values of the candidate host computers for the relative and absolute selection criteria, each criteria value being a result of one of the relative and absolute selection criteria being applied to a particular candidate host computer; and
sorting the candidate host computers in a particular order based on the criteria values.

11. The non-transitory computer-readable storage medium of claim 8 , wherein the steps further comprise:
displaying the relative and absolute selection criteria for user prioritization; and
receiving the user prioritization of the relative and absolute selection criteria so that the candidate host computers are displayed for user selection based on the user prioritization of the relative and absolute selection criteria.

12. The non-transitory computer-readable storage medium of claim 11 , wherein sorting the candidate host computers includes sorting the candidate host computers in the particular order using the criteria values of the highest prioritized criteria of the user prioritization.

13. The non-transitory computer-readable storage medium of claim 8 , wherein the relative selection criteria include comparisons of a health metric of an available host computer to health metrics of the manually selected host computers.

14. The non-transitory computer-readable storage medium of claim 8 , wherein the absolute selection criteria include at least one criterion based on memory size, processor count, storage device.

15. A system comprising:
memory; and
at least one processor configured to:
receive a request to deploy a workload domain;
display available host computers for the workload domain;
receive a user host selection of at least one of the available host computers;
when an auto-recommend setting is enabled, compute relative and absolute selection criteria for automatic host recomme

Assignees

• Vmware Inc

Inventors

• Farkas Keith
• Spirov Konstantin Ivanov
• Trendafilov Ianislav

Classifications

• H04L47/70

  Admission control; Resource allocation · CPC title

• H04L67/1008

  based on parameters of servers, e.g. available memory or workload (monitoring of computer activity G06F11/30) · CPC title

• H04L43/20

  the monitoring system or the monitored elements being virtualised, abstracted or software-defined entities, e.g. SDN or NFV · CPC title

• H04L41/122

  of virtualised topologies, e.g. software-defined networks [SDN] or network function virtualisation [NFV] · CPC title

• H04L41/0897

  by horizontal or vertical scaling of resources, or by migrating entities, e.g. virtual resources or entities · CPC title