TECHNIQUES FOR INTELLIGENT SERVICE DEPLOYMENT

• US 20110231552A1
• Filed: 05/28/2010
• Published: 09/22/2011
• Est. Priority Date: 03/19/2010
• Status: Active Grant

• Current Assignee: Micro Focus Software, Inc. (Open Text Corporation)
• Original Assignee: Novell Incorporated (Open Text Corporation)
• Inventors: Sabin, Jason Allen, Carter, Stephen R., Larsen, Kal A., Kranendonk, Nathaniel Brent, Jorgensen, Michael John
• Granted Patent: US 8,806,014 B2
• Time in Patent Office: Days
• US Class Current: 709/226
• CPC Class Codes: G06F 8/60 Software deployment
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: H04L 41/0806 for initial configuration or provisioning, e.g. plug-and-play
• 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 67/60 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

Techniques for intelligent service deployment are provided. Cloud and service data are evaluated to develop a service deployment plan for deploying a service to a target cloud processing environment. When dictated by the plan or by events that trigger deployment, the service is deployed to the target cloud processing environment in accordance with the service deployment plan.

Claims

1. A method implemented in a non-transitory machine-readable storage medium and processed by one or more processors configured to perform the method, comprising:

acquiring cloud attribute data for a target cloud processing environment and acquiring service attribute data for a service;

evaluating a deployment specification for deploying the service to the target cloud processing environment;

developing a service placement plan for scheduling the deployment of the service to the target cloud processing environment based on the cloud attribute data, the service attribute data, and the deployment specification; and

deploying the service to the target cloud processing environment in accordance with the service placement plan.

2. The method of claim 1, wherein acquiring further includes obtaining the cloud attribute data for the target cloud processing environment as one or more of:

geographical data, cloud state data, cloud reputation data, service-level agreement data, and cloud expense data.

3. The method of claim 1, wherein acquiring further includes obtaining the service attribute data for the service as one or more of:

service configuration data, service service-level agreement data, service expense data, and service reputation data.

4. The method of claim 1, wherein evaluating further includes acquiring policies that control deployment of the service to the target cloud processing environment from the deployment specification.

5. The method of claim 4 further comprising, identifying at least one policy that includes alternative actions to take based on particular values assigned to cloud attribute data and/or the service attribute data.

6. The method of claim 1, wherein developing further includes balancing the service placement plan by weighing values defined in the cloud attribute data, the service attribute data, and the deployment specification.

7. The method of claim 6, wherein developing further includes changing a selection associated with the target cloud processing environment based on weighing the values.

8. The method of claim 7, wherein developing further includes altering a mix of workloads or software products that define the service based on weighing the values.

9. The method of claim 1, wherein developing further includes defining sequencing for deployment of workloads and software products that comprise the service within the service placement plan.

10. The method of claim 1, wherein developing further includes receiving dynamic alerts regarding events and/or usage metrics that cause re-development of and alteration of the service placement plan.

11. A method implemented in a non-transitory machine-readable storage medium and processed by one or more processors configured to perform the method, comprising:

receiving an instruction to deploy a service to a target cloud processing environment;

acquiring a service deployment plan for the service; and

following directives of the service deployment plan to deploy the service to the target cloud processing environment.

12. The method of claim 11 further comprising, receiving usage metrics back from a deployed version of the service and other resources of the target cloud processing environment.

13. The method of claim 12 further comprising, feeding the usage metrics back to a service planning service for dynamic modifications to the service deployment plan.

14. The method of claim 12 further comprising, logging the usage metrics for subsequent analysis and auditing of the service deployment plan.

15. The method of claim 14 further comprising, auditing the service deployment plan by comparing the usage metrics against a service level agreement for the service.

16. The method of claim 15 further comprising, notifying a principal when the audit indicates a present violation of the service level agreement or a situation in which a potential for a violation of the service level agreement is imminent.

17. A system, comprising:

a service deployment planner implemented in a computer-readable storage medium and to execute on one or more processors of a network;

a service deployment manager implemented in a computer-readable storage medium and to execute on one or more processors of the network;

the service deployment planner is configured to develop a plan for deploying a service to a target cloud processing environment in response to cloud attribute data and service attribute data, the service deployment manager is configured to interact with the service deployment planner to acquire the plan and deploy the service to the target cloud processing environment in accordance with directives of the plan.

18. The system of claim 17, wherein the service deployment planner is further configured to receive dynamic feedback on usage metrics for the service and the target cloud processing environment to modify the plan.

19. The system of claim 17, wherein the service deployment planner is further configured to select and identify the target cloud processing environment in response to the cloud attribute data that defines multiple cloud processing environments and in response to the service attribute data.

20. The system of claim 18, wherein the service deployment manager is further configured to sequence deployment of workloads and software products that comprise the service when deploying the service to the target cloud processing environment.