SERVICE LEVEL OBJECTIVE FOR CLOUD HOSTED APPLICATIONS

• US 20130268914A1
• Filed: 04/06/2012
• Published: 10/10/2013
• Est. Priority Date: 04/06/2012
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Oslake, John M., Muralidhar, Subramanian, Bice, Richard Shawn, Currier, Jeffrey Robert, Nevrekar, Narayan Mohanrao, Van Hyning, Kenneth
• Granted Patent: US 8,707,254 B2
• Time in Patent Office: Days
• US Class Current: 717/120
• CPC Class Codes: G06F 8/30 Creation or generation of source code
• CPC Class Codes: G06F 9/5072 Grid computing

Abstract

Embodiments are directed to declaratively managing software applications, dynamically applying configuration changes to a specified software application based on a service level objective (SLO) and to efficiently performing an impact analysis for a specified service level agreement SLO.

Claims

1. At a cluster management system including at least one processor and a memory, in a computer networking environment including a plurality of computing systems, a computer-implemented method for declaratively managing software applications using role-based administrative boundaries, the method comprising:

an act of receiving at least one declarative statement from a cloud service user, the declarative statement indicating one or more operational requirements that are to be applied during at least one of the provisioning and the runtime execution of a specified software application;

an act of determining which service level objective (SLO) service dimensions and dimension properties match the operational requirements specified in the declarative statement, each SLO defining one or more SLO service dimensions and dimension properties that are intended to be provided during at least one of the provisioning and the runtime execution of the specified application; and

an act of generating an SLO for the specified application based on the determined SLO service dimensions and dimension properties that matched the operational requirements specified in the declarative statement.

2. The method of claim 1, further comprising:

an act of receiving an indication from an application administrator indicating the generated SLO is to be applied to the specified software application; and

an act of applying the generated SLO to the specified software application.

3. The method of claim 1, wherein the SLO service dimensions include one or more of the following:

software application resource usage, software application geo-availability, software application recoverability, software application security, software application auditing, and software application performance such as request latencies of the application.

4. The method of claim 1, wherein an administrative user specifies which of a plurality of available SLOs is to be used for the specified software application or group of applications.

5. The method of claim 1, wherein the generated SLO is continuously applied by the computer system to the specified software application during the run-time of the application.

6. The method of claim 5, wherein the computer system monitors one or more SLO guarantees that are to be provided for the specified software application.

7. The method of claim 6, wherein the monitoring determines that one or more of the SLO guarantees has been violated during deployment of the specified software application;

and

upon determining that one or more of the SLO guarantees has been violated, the computer system continually attempts to re-satisfy the SLO guarantees until successful.

8. The method of claim 1, wherein management of software application deployment using SLOs is based on one or more administrative roles, where each role configures one or more SLO application deployment policy settings.

9. The method of claim 8, wherein the administrative roles comprise at least one of the following:

cluster administrator, server administrator and application administrator.

10. The method of claim 9, further comprising a workflow for the administrative roles, the workflow allowing the administrators to change operational requirements of the specified software application via an SLO.

11. At a cluster management system including at least one processor and a memory, in a computer networking environment including a plurality of computing systems, a computer-implemented method for dynamically applying configuration changes to a specified software application based on a service level objective (SLO), the method comprising:

an act of determining that an SLO has been applied to a specified software application by an application-level administrator, the SLO indicating one or more SLO service dimensions and dimension properties that are to be provided during at least one of the provisioning and the runtime execution of the specified application;

an act of determining that at least one of the SLO service dimensions and dimension properties that were to be provided during at least one of the provisioning and runtime execution of the specified application is currently not being provided;

an act of determining which configuration changes are to be implemented to satisfy the SLO service dimensions and dimension properties for the specified application; and

based on the determination of which configuration changes are to be made, an act of applying the determined configuration changes, such that the application is at least one of provisioned and operates during runtime according to the SLO service dimensions and dimension properties specified in the SLO.

12. The method of claim 11, wherein the host system may perform self-healing by automatically applying the determined configuration changes.

13. The method of claim 11, further comprising an act of dynamically updating the configuration for an application upon receiving an indication that the computer system is not in compliance with one or more of the SLO dimensions or dimension properties applied to the application.

14. The method of claim 11, further comprising optimizing deployment of the specified software application among a plurality of computer systems.

15. The method of claim 14, wherein optimizing deployment of the specified software application comprises determining which computing resources are available and, distributing processing load among the plurality of computer systems based on each system'"'"'s processing availability and in such a way that deployment constraints derived from the SLO of the application are satisfied.

16. The method of claim 11, wherein the SLO implements one or more service dimensions or dimension properties based on a predetermined schedule.

18. The method of claim 16, further comprising:

performing a historical analysis of application usage patterns; and

reallocating computer system processing capacity according to the impact analysis.

19. The method of claim 16, wherein the impact analysis further provides an estimated impact to revenue generated from cloud tenants for specified applications with specified SLOs and billing model where the billing model associates a price with the SLO.

20. The method of claim 16, wherein the impact analysis further describes the impact to at least one of an application'"'"'s behavior and monetary cost for a cloud services user or group of users.

17. At a cluster management system including at least one processor and a memory, in a computer networking environment including a plurality of computing systems, a computer-implemented method for efficiently performing an impact analysis for a specified service level objective (SLO), the method comprising:

an act of receiving an indication from a cluster administrator that a specified SLO is to be applied to one or more applications, the SLO indicating one or more SLO service dimensions and dimension properties that are to be applied to the applications;

an act of initiating an impact analysis to determine the potential effects to the cluster of hosting the specified applications according to the SLO service dimensions and dimension properties indicated in the specified SLO; and

an act of providing the results of the impact analysis to the user, the results indicating the potential effects to the cluster of hosting the specified applications according to the SLO service dimensions and dimension properties indicated in the specified SLO.