Granted Patent B2

US 12,217,096 · App. 17/304,948 · Granted Feb 4, 2025

Inventors: Vaibhav Telang (Pune, IN); Shailendra Moyal (Pune, IN); Venkata Vara Prasad Karri (Visakhapatnam, IN)

Assignee: International Business Machines Corporation

G06F9/5072G06F9/5038G06F9/505

Abstract

Claims (74)

1. A computer-implemented method comprising:

identifying a computing activity to be performed by multi-cloud deployment, the computing activity identified by recognizing a user context indicative of a beginning of the computing activity;

generating workload components defined by workload attributes of the computing activity;

determining activity workload requirements for corresponding workload components;

identifying a set of candidate cloud service providers for cloud services based on the activity workload requirements;

mapping the workload components and the identified cloud services to the computing activity based on parameter inputs from the set of candidate cloud service providers, the mapping performed using multi-cloud deployment models;

determining a top-rated multi-cloud deployment strategy based on the mapping;

responsive to an approval action and user feedback regarding the top-rated multi-cloud deployment strategy, updating the multi-cloud deployment models in view of the approval action and the user feedback;

responsive to the approval action being approval to proceed, deploying multi-cloud services to perform the identified computing activity according to the top-rated multi-cloud deployment action; and

responsive to training issues regarding the top-rated multi-cloud deployment strategy, creating a request for a cloud service provider offering self-service and learning sessions.

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

collecting activity workload data from user input while previously performing the identified computing activity.

3. The computer-implemented method of claim 2 , wherein:

the activity workload requirements are determined according to collected activity workload data and the generated workload components.

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

storing activity workload data collected while a set of users each perform the identified computing activity.

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

analyzing the stored activity workload data to determine the user context;

wherein:

determining activity workload requirements is performed according to the stored activity workload data and the user context.

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

establishing ranking criteria for evaluating multi-cloud deployment strategies for handling the activity workload;

wherein:

determining a top-rated multi-cloud deployment strategy is based on the established ranking criteria.

7. A computer program product comprising a computer-readable storage medium having a set of instructions stored therein which, when executed by a processor, causes the processor to perform a method comprising:

identifying a computing activity to be performed by multi-cloud deployment, the computing activity identified by recognizing a user context indicative of a beginning of the computing activity;

generating workload components defined by workload attributes of the computing activity;

determining activity workload requirements for corresponding workload components;

identifying a set of candidate cloud service providers for cloud services based on the activity workload requirements;

mapping the workload components and the identified cloud services to the computing activity based on parameter inputs from the set of candidate cloud service providers, the mapping performed using multi-cloud deployment models;

determining a top-rated multi-cloud deployment strategy based on the mapping;

responsive to an approval action and user feedback regarding the top-rated multi-cloud deployment strategy, updating the multi-cloud deployment models in view of the approval action and the user feedback;

responsive to the approval action being approval to proceed, deploying multi-cloud services to perform the identified computing activity according to the top-rated multi-cloud deployment action; and

responsive to training issues regarding the top-rated multi-cloud deployment strategy, creating a request for a cloud service provider offering self-service and learning sessions.

8. The computer program product of claim 7 , further comprising:

collecting activity workload data from user input while previously performing the identified computing activity.

9. The computer program product of claim 7 , further comprising:

storing activity workload data collected while a set of users each perform the identified computing activity.

10. The computer program product of claim 9 , further comprising:

analyzing the stored activity workload data to determine the user context;

wherein:

determining activity workload requirements is performed according to the stored activity workload data and the user context.

11. The computer program product of claim 7 , further comprising:

establishing ranking criteria for evaluating multi-cloud deployment strategies for handling the activity workload;

wherein:

determining a top-rated multi-cloud deployment strategy is based on the established ranking criteria.

12. A computer system comprising:

a processor set; and

a computer readable storage medium;

wherein:

the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium; and

the program instructions which, when executed by the processor set, cause the processor set to perform a method comprising:

identifying a computing activity to be performed by multi-cloud deployment, the computing activity identified by recognizing a user context indicative of a beginning of the computing activity;

generating workload components defined by workload attributes of the computing activity;

determining activity workload requirements for corresponding workload components;

identifying a set of candidate cloud service providers for cloud services based on the activity workload requirements;

mapping the workload components and the identified cloud services to the computing activity based on parameter inputs from the set of candidate cloud service providers, the mapping performed using multi-cloud deployment models;

determining a top-rated multi-cloud deployment strategy based on the mapping;

responsive to an approval action and user feedback regarding the top-rated multi-cloud deployment strategy, updating the multi-cloud deployment models in view of the approval action and the user feedback;

responsive to the approval action being approval to proceed, deploying multi-cloud services to perform the identified computing activity according to the top-rated multi-cloud deployment action; and

responsive to training issues regarding the top-rated multi-cloud deployment strategy, creating a request for a cloud service provider offering self-service and learning sessions.

13. The computer system of claim 12 , wherein the program instructions further cause the processor set to perform the method comprising:

collecting activity workload data from user input while previously performing the identified computing activity.

14. The computer system of claim 13 , wherein the activity workload requirements are determined according to collected activity workload data and the generated workload components.

15. The computer system of claim 12 , wherein the program instructions further cause the processor set to perform the method comprising:

storing activity workload data collected while a set of users each perform the identified computing activity.

16. The computer system of claim 15 , wherein the program instructions further cause the processor set to perform the method comprising:

analyzing the stored activity workload data to determine the user context;

wherein:

determining activity workload requirements is performed according to the stored activity workload data and the user context.

17. The computer system of claim 12 , wherein the program instructions further cause the processor set to perform the method comprising:

establishing ranking criteria for evaluating multi-cloud deployment strategies for handling the activity workload;

wherein:

determining a top-rated multi-cloud deployment strategy is based on the established ranking criteria.

Assignments (3)

Continuity (1)

References Cited (9)