Cloud brokerage application decomposition and migration

Patent metadata

Field	Value
Publication number	US-2020257567-A1
Application number	US-201916269659-A
Country	US
Kind code	A1
Filing date	Feb 7, 2019
Priority date	Feb 7, 2019
Publication date	Aug 13, 2020
Grant date	—

Abstract

Decomposing and migrating applications by receiving a candidate application, identifying components of the candidate application, analyzing the granularity of components, decomposing a component into sub-components; identifying cloud service provider offerings, mapping the cloud service provider offerings to a technology mapping database, collecting performance information on the cloud service provider offerings, estimating performance associated with deploying sub-components across cloud service provider offerings; and ranking the performance of different deployment scenarios.

First claim

What is claimed is:

1 . A computer implemented method for cloud brokerage application decomposition and migration, the method comprising:
receiving, by one or more computer processors, a candidate application; identifying, by one or more computer processors, components of the candidate application; identifying, by one or more computer processors, cloud service provider offerings; mapping, by one or more computer processors, the cloud service provider offerings to a technology mapping database; analyzing, by one or more computer processors, component granularity of one or more components according to the technology mapping database; decomposing, by one or more computer processors, a component into sub-components according to the component granularity; collecting, by one or more computer processors, performance information on the cloud service provider offerings; generating, by one or more computer processors, a plurality of simulated performance scenarios associated with deploying sub-components across cloud service provider offerings; and ranking, by one or more computer processors, the plurality of performance scenarios.

2 . The computer implemented method according to claim 1 , further comprising deploying, by one or more computer processors, application subcomponents across cloud service provider offerings according to the ranking of performance scenarios.

3 . The computer implemented method according to claim 1 , wherein identifying components of the candidate application is based, at least in part, upon information associated with candidate application virtual machine usage.

4 . The computer implemented method according to claim 1 , wherein identifying cloud service provider offerings comprises identifying, by one or more computer processors, information selected from the group consisting of: changes in current available services, costs and changes in costs, availability of cloud service provider(s), and combinations thereof.

5 . The computer implemented method according to claim 1 , wherein analyzing component granularity is based, at least in part, upon information selected from the group consisting of: application transactions, database interactions, service functions, containers, storage aspects, and combinations thereof.

6 . The computer implemented method according to claim 1 , wherein decomposing a component into sub-components according to component granularity is based, at least in part, upon information in the technology mapping database.

7 . The computer implemented method according to claim 1 , wherein generating a plurality of simulated performance scenarios associated with deploying sub-components across cloud service provider offerings is based, at least in part, upon cloud service provider information and cloud service provider user feedback.

8 . A computer program product for application decomposition and migration, the computer program product comprising one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the program instructions comprising:
programmed instructions for receiving a candidate application; programmed instructions for identifying components of the candidate application; programmed instructions for identifying cloud service provider offerings; programmed instructions for mapping the cloud service provider offerings to a technology mapping database; programmed instructions for analyzing component granularity according to the technology mapping database; programmed instructions for decomposing a component into sub-components according to component granularity; programmed instructions for collecting performance information on the cloud service provider offerings; programmed instructions for generating a plurality of simulated performance scenarios associated with deploying sub-components across cloud service provider offerings; and programmed instructions for ranking the plurality of simulated performance scenarios.

9 . The computer program product according to claim 8 , further comprising programmed instructions for deploying application subcomponents across cloud service provider offerings according to the ranking of the plurality of performance scenarios.

10 . The computer program product according to claim 8 , wherein identifying components of the candidate application is based, at least in part, upon candidate application virtual machine usage.

11 . The computer program product according to claim 8 , wherein identifying cloud service provider offerings comprises identifying information selected from the group consisting of: changes in current available services, costs and changes in costs, availability of cloud service provider(s), and combinations thereof.

12 . The computer program product according to claim 8 , wherein analyzing component granularity is based, at least in part, upon information selected from the group consisting of: application transactions, database interactions, service functions, containers, storage aspects, and combinations thereof.

13 . The computer program product according to claim 8 , wherein decomposing a component into sub-components according to component granularity is based, at last in part, upon information in the technology mapping database.

14 . The computer program product according to claim 8 , wherein generating a plurality of simulated performance scenarios associated with deploying sub-components across cloud service is based, at least in part, upon cloud service provider information and cloud service provider user feedback.

15 . A computer system for application decomposition and migration, the computer system comprising:
one or more computer processors; one or more computer readable storage devices; program instructions stored on the one or more computer readable storage devices for execution by the at least on computer processor, the program instructions comprising: programmed instructions for receiving a candidate application; programmed instructions for identifying components of the candidate application; programmed instructions for identifying cloud service provider offerings; programmed instructions for mapping the cloud service provider offerings to a technology mapping database; programmed instructions for analyzing component granularity according to the technology mapping database; programmed instructions for decomposing a component into sub-components according to component granularity; programmed instructions for collecting performance information on the cloud service provider offerings; programmed instructions for generating a plurality of simulated performance scenarios associated with deploying sub-components across cloud service provider offerings; and programmed instructions for ranking the plurality of performance scenarios.

16 . The computer system according to claim 15 , further comprising programmed instructions for deploying application subcomponents across cloud service provider offerings according to the ranking of the plurality of performance scenarios.

17 . The computer system according to claim 15 , wherein identifying components of the candidate application is based, at least in part, upon information associated with candidate application virtual machine usage.

18 . The computer system according to claim 15 , wherein identifying cloud service provider offerings is based, at least in part, upon information selected from the group consisting of: changes in current available services, changes in costs, availabili

Assignees

• IBM

Inventors

• Fontanari Filho Pedro
• Varga Sergio
• Pires Ronaldo
• Costa Thiago Rodrigues De Souza

Classifications

• G06F9/5072

  Grid computing · CPC title

• G06F9/5088

  involving task migration · CPC title

• G06F2009/45591

  Monitoring or debugging support · CPC title

• G06F9/45558 Primary

  Hypervisor-specific management and integration aspects · CPC title

• G06F2009/4557

  Distribution of virtual machine instances; Migration and load balancing · CPC title