Enhanced command selection in a networked computing environment

• US 9,451,033 B2
• Filed: 10/20/2015
• Issued: 09/20/2016
• Est. Priority Date: 02/13/2012
• Status: Expired due to Fees

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Abuelsaad, Kelly, Boss, Gregory J., DeLuca, Lisa Seacat, Jang, Soobaek
• Primary Examiner(s): Meky, Moustafa M
• Application Number:
  US14/887,565
• Publication Number:
  US 20160044117A1
• Time in Patent Office: 336 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2009/4557 Distribution of virtual machine instances; Migration and load balancing
• CPC Class Codes: G06F 2009/45595 Network integration; Enabling network access in virtual machine instances
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 8/63 Image based installation; Cloning; Build to order
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: G06F 9/5077 Logical partitioning of resources; Management or configuration of virtualized resources specific details on emulation or internal functioning of virtual machines G06F9/455
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/72 using reservation actions during connection setup
• CPC Class Codes: H04L 67/01 Protocols
• 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 67/1001 for accessing one among a plurality of replicated servers
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70

Abstract

Embodiments of the present invention provide an approach for identifying commands for virtual resource instances in a networked computing environment (e.g., a cloud computing environment). Specifically, in a typical embodiment, a set of commands for an instance of a virtual resource may be received in a computer memory medium or the like. The commands may then be analyzed and information pertaining to the commands may be stored in a computer storage device or the like. When a user/requester later wishes to identify a command to be utilized for another instance of the virtual resource, the requester can access the information and be provided with a set of suggested commands that are typically utilized for similar and/or previous instances of the virtual resource.

Claims

1. A computer-implemented method for identifying commands for virtual resource instances in a networked computing environment, comprising:

analyzing a set of commands to identify information pertaining to the set of commands, the information identifying at least one of the following;

the set of commands, a date/time stamp associated with the set of commands, relationship artifacts associated with the set of commands, and a set of tags associated with the set of commands;

receiving, from a requester, a request to access at least a subset of the information;

retrieving the at least a subset of the information from a computer storage device to generate a set of suggested commands; and

providing the set of suggested commands to the requester.

2. The computer-implemented method of claim 1, further comprising refining the at least a subset of the information to generate the set of suggested commands based on at least one of the following:

a level of use of the set of commands, a time since the instance was provisioned, a relative order of the set of commands, a common middleware installed across different images of the instance, newly installed middleware, and an installation topology of the common middleware and the newly installed middleware.

3. The computer-implmented method of claim 2, further comprising:

assembling a subset of the set of suggested commands into a script based on the time since the instance was provisioned and the relative order of the set of commands.

4. The computer-implemented method of claim 1, further comprising:

analyzing a set of flags and flag values for the set of commands; and

generating a suggested set of flags for the suggested set of commands based on the analyzing.

5. The computer-implemented method of claim 1, further comprising executing at least one of the set of suggested commands against the instance.

6. The computer-implemented method of claim 1, further comprising assigning a statistical probability of success to each of the set of suggested commands.

7. The computer-implemented method of claim 1, the networked computing environment comprising a cloud computing environment and the set of commands comprising a set of commands utilized within a cloud computing environment.

8. A system for identifying commands for virtual resource instances in a networked computing environment, comprising:

a memory medium comprising instructions;

a bus coupled to the memory medium; and

a processor coupled to the bus that when executing the instructions causes the system to;

analyze a set of commands to identify information pertaining to the set of commands, the information identifying at least one of the following;

the set of commands, a date/time stamp associated with the set of commands, relationship artifacts associated with the set of commands, and a set of tags associated with the set of commands;

receive, from a requester, a request to access at least a subset of the information;

retrieve the at least a subset of the information from a computer storage device to generate a set of suggested commands; and

provide the set of suggested commands to the requester.

9. The system of claim 8, the memory medium further comprising instructions for causing the system to refine the at least a subset of the information to generate the set of suggested commands based on at least one of the following:

a level of use of the set of commands, a time since the instance was provisioned, a relative order of the set of commands, a common middleware installed across different images of the instance, newly installed middleware, and an installation topology of the common middleware and the newly installed middleware.

10. The system of claim 9, the memory medium further comprising instructions for causing the system to assemble a subset of the set of suggested commands into a script based on the time since the instance was provisioned and the relative order of the set of commands.

11. The system of claim 8, the memory medium further comprising instructions for causing the system to:

analyze a set of flags and flag values for the set of commands; and

generate a suggested set of flags for the suggested set of commands based on the analyzing.

12. The system of claim 8, the memory medium further comprising instructions for causing the system to execute at least one of the set of suggested commands against the instance.

13. The system of claim 8, the memory medium further comprising instructions for causing the system to assign a statistical probability of success to each of the set of suggested commands.

14. The system of claim 8, the networked computing environment comprising a cloud computing environment and the set of commands comprising a set of commands utilized within a cloud computing environment.

15. A computer program product for identifying commands for virtual resource instances in a cloud computing environment, the computer program product comprising a computer readable storage media, and program instructions stored on the computer readable storage media, to:

analyze a set of commands to identify information pertaining to the set of commands, the information identifying at least one of the following;

the set of commands, a date/time stamp associated with the set of commands, relationship artifacts associated with the set of commands, and a set of tags associated with the set of commands;

receive, from a requester, a request to access at least a subset of the information;

retrieve the at least a subset of the information from a computer storage device to generate a set of suggested commands; and

provide the set of suggested commands to the requester.

16. The computer program product of claim 15, the computer readable storage media further comprising instructions to refine the at least a subset of the information to generate the set of suggested commands based on at least one of the following:

a level of use of the set of commands, a time since the instance was provisioned, a relative order of the set of commands, a common middleware installed across different images of the instance, newly installed middleware; and

an installation topology of the common middleware and the newly installed middleware.

17. The computer program product of claim 16, the computer readable storage media further comprising instructions to assemble a subset of the set of suggested commands into a script based on the time since the instance was provisioned and the relative order of the set of commands.

18. The computer program product of claim 15, the memory medium further comprising instructions for causing the system to:

analyze a set of flags and flag values for the set of commands; and

generate a suggested set of flags for the suggested set of commands based on the analyzing.

19. The computer program product of claim 15, the memory medium further comprising instructions for causing the system to assign a statistical probability of success to each of the set of suggested commands.

20. The computer program product of claim 15, the memory medium further comprising instructions for causing the system to receive at least one command from the requester, the at least one command being identified based on the at least a subset of the information.