Orchestration engine blueprint aspects for hybrid cloud composition

Patent metadata

Field	Value
Publication number	US-10833962-B2
Application number	US-201715841420-A
Country	US
Kind code	B2
Filing date	Dec 14, 2017
Priority date	Dec 14, 2017
Publication date	Nov 10, 2020
Grant date	Nov 10, 2020

Abstract

Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a learning component and a hybrid cloud composition component. The learning component learns one or more blueprint-level aspects associated with information for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform. The hybrid cloud composition component generates a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects. The hybrid cloud composition component also modifies a blueprint associated with the cloud-based computing platform based on the set of resource definitions.

First claim

What is claimed is:

1. A system, comprising:
a memory that stores computer executable components;
a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise:
a learning component that:
learns one or more blueprint-level aspects associated with information for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform; and
alters a first resource within a blueprint to a second resource within the blueprint based on an estimated risk level associated with the first resource, and wherein the estimated risk level is a multidimensional vector; and

a hybrid cloud composition component that generates a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects, and modifies the blueprint associated with the cloud-based computing platform based on the set of resource definitions, wherein the blueprint is a machine-readable representation and a human-readable representation of one or more computing resources associated with the cloud-based computing platform, wherein the machine-readable representation and the human-readable representation are associated with a data serialization language.

2. The system of claim 1 , wherein the computer executable components further comprise:
a blueprint component that extracts the one or more blueprint-level aspects from the blueprint, wherein the blueprint is indicative of a machine-readable representation of the one or more computing resources, and wherein the learning component further alters the first resource within the blueprint to a second resource within the blueprint based on an estimated benefit of using the second resource.

3. The system of claim 1 , wherein the computer executable components further comprise:
a computing resource component that modifies a previous version of the one or more computing resources to generate the one or more computing resources for the cloud-based computing platform.

4. The system of claim 3 , wherein the computing resource component generates the one or more computing resources for a hybrid cloud-based computing platform, a public cloud-based computing platform, or a private cloud-based computing platform.

5. The system of claim 1 , wherein the computer executable components further comprise:
a blueprint component that determines the one or more blueprint-level aspects for a resource definition portion within the blueprint.

6. The system of claim 5 , wherein the blueprint component determines encoded data within the one or more blueprint-level aspects from a group consisting of service level agreement data, software data, deployment environment data, cost data, security data, response time data, dependency data, deadline data, description data, benchmark data, and maintainer data.

7. The system of claim 5 , wherein the hybrid cloud composition component modifies a resource definition portion within the blueprint based on the set of resource definitions.

8. The system of claim 5 , wherein the blueprint component determines the one or more blueprint-level aspects based on historical data associated with the cloud-based computing platform or another cloud-based computing platform, wherein the historical data comprises previously determined information for computing resources associated with the cloud-based computing platform.

9. The system of claim 1 , wherein the learning component determines the one or more blueprint-level aspects based on previously determined performance data associated with the cloud-based computing platform or another cloud-based computing platform.

10. The system of claim 1 , wherein hybrid cloud composition component dynamically populates the set of resource definitions with resource data based on the one or more blueprint-level aspects.

11. The system of claim 1 , wherein the hybrid cloud composition component inserts data associated with the set of resource definitions into the blueprint.

12. The system of claim 1 , wherein the hybrid cloud composition component determines the set of resource definitions to facilitate improved performance for the cloud-based computing platform.

13. A computer-implemented method, comprising:
learning, by a system operatively coupled to a processor, one or more blueprint-level aspects associated with information for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform;
altering, by the system, a first resource within a blueprint to a second resource within the blueprint based on an estimated risk level associated with the first resource, and wherein the estimated risk level is a scalar value; and
generating, by the system, a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects, wherein the set of resource definitions comprises definitions to facilitate auto-scaling associated with the cloud-based computing platform, wherein the auto-scaling comprises schedule-based scaling associated with an expected increase in data traffic associated with the cloud-based computing platform; and
modifying, by the system, a blueprint associated with the cloud-based computing platform based on the set of resource definitions, wherein the modifying comprises inserting the set of resource definitions into the blueprint to generate the modified blueprint that includes the set of resource definitions and the blueprint-level aspects.

14. The computer-implemented method of claim 13 , wherein the learning comprises learning the one or more blueprint-level aspects based on performance data associated with the cloud-based computing platform.

15. The computer-implemented method of claim 13 , wherein the modifying comprises modifying a resource definition portion within the blueprint based on the set of resource definitions, and wherein the set of resource definitions comprises one or more definitions for hardware associated with the cloud-based computing platform and one or more definitions for software associated with the cloud-based computing platform.

16. The computer-implemented method of claim 13 , further comprising:
monitoring, by the system, the cloud-based computing platform based on the one or more blueprint-level aspects to learn one or more features associated with the cloud-based computing platform.

17. The computer-implemented method of claim 13 , wherein the modifying results in improving performance of the cloud-based computing platform based on deleting one or more portions of resource properties within the modified blueprint based on information included in the set of resource definitions.

18. A computer program product facilitating an orchestration engine process, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
learn, by the processor, one or more blueprint-level aspects associated with a blueprint for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform, wherein at least one of the one or more blueprint-level aspects comprises a notification aspect that:
tracks alarm configurations associated with the cloud-based computing platform; and
sets one or more alarms for metric data associated with the cloud-based computing platform;

a

Assignees

• IBM

Inventors

• Asthana Neeraj
• Chefalas Thomas E
• Karve Alexei
• Pickover Clifford A

Classifications

• G06F9/5077

  Logical partitioning of resources; Management or configuration of virtualized resources (specific details on emulation or internal functioning of virtual machines G06F9/455) · CPC title

• H04L41/0859

  by keeping history of different configuration generations or by rolling back to previous configuration versions · CPC title

• H04L41/5048 Primary

  Automatic or semi-automatic definitions, e.g. definition templates · CPC title

• H04L41/16

  using machine learning or artificial intelligence · CPC title

• G06F9/5072 Primary

  Grid computing · CPC title