SYSTEM AND METHOD FOR RULE-BASED ELASTICITY IN A MULTITENANT APPLICATION SERVER ENVIRONMENT

• US 20160094635A1
• Filed: 09/23/2015
• Published: 03/31/2016
• Est. Priority Date: 09/25/2014
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Kannan, Mahesh, Inamdar, Rajendra, Cico, Michael, Shrivastava, Sandeep, Vlatas, Anthony
• Granted Patent: US 10,348,565 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 9/5077 Logical partitioning of resources; Management or configuration of virtualized resources specific details on emulation or internal functioning of virtual machines G06F9/455
• CPC Class Codes: H04L 41/04 Network management architectures or arrangements
• CPC Class Codes: H04L 41/0869 Validating the configuration within one network element
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 67/1025 Dynamic adaptation of the criteria on which the server selection is based

Abstract

In accordance with an embodiment, described herein is a system and method rule-based elasticity support in an application server environment. The method can begin with providing, at one or more computers, including an application server environment executing thereon, a plurality of deployable resources which can be used within the application server environment, one or more partitions, an administration server, the administration server comprising a diagnostic framework, a rules framework, and an elastic service manager, and a dynamic cluster for use by the one or more partitions. The method can continue with monitoring, by the diagnostic framework, metrics associated with the one or more partition and the dynamic cluster. The method can then trigger, by the rules framework, the action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions and the dynamic cluster.

Claims

1. A system for rule-based elasticity support in an application server environment, comprising:

one or more computers, including an application server environment executing thereon, together with

a plurality of deployable resources which can be used within the application server environment,

one or more partitions, wherein each partition provides an administrative and runtime subdivision of a domain,

an administration server, the administration server comprising a diagnostic framework, a rules framework, and an elastic service manager, the rules framework comprising one or more rules, the elastic service manager configured to perform an action within the application server environment; and

a dynamic cluster for use by the one or more partitions, the dynamic cluster comprising an initial number of servers running within the dynamic cluster,

wherein the diagnostic framework is configured to monitor metrics associated with the one or more partitions and the dynamic cluster; and

wherein the rules framework is configured to trigger the action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions.

2. The system of claim 1, wherein the action is a scale up action or a scale down action, the scale up action starting at least one managed server within the dynamic cluster, the scale down action stopping at least one managed server within the dynamic cluster.

3. The system of claim 1, further comprising:

a work manager, the work manager comprising a partition thread tuning module; and

wherein the triggered action is a tuning action.

4. The system of claim 1, wherein the one or more rules comprise at least one of the group of rules consisting of watch rules, smart rules, and calendar rules.

5. The system of claim 1, further comprising:

an interceptor framework, the interceptor framework configured to provide an interceptor before the triggered action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions is triggered.

6. The system of claim 5, wherein the interceptor framework is further configured to provide another interceptor after the triggered action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions is completed.

7. The system of claim 1, wherein the application server environment comprises a multi-tenant application server environment, and wherein the system can associate the one or more partitions with a tenant, for use by the tenant.

8. A method for rule-based elasticity support in an application server environment, comprising:

providing, at one or more computers, including an application server environment executing thereon,

a plurality of deployable resources which can be used within the application server environment,

one or more partitions, wherein each partition provides an administrative and runtime subdivision of a domain,

an administration server, the administration server comprising a diagnostic framework, a rules framework, and an elastic service manager, the rules framework comprising one or more rules, the elastic service manager configured to perform an action within the application server environment, and

a dynamic cluster for use by the one or more partitions, the dynamic cluster comprising an initial number of servers running within the dynamic cluster,

monitoring, by the diagnostic framework, metrics associated with the one or more partitions and the dynamic cluster; and

triggering, by the rules framework, the action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions.

9. The method of claim 8, wherein the triggered action is a scale up action or a scale down action, the scale up action starting at least one managed server within the dynamic cluster, the scale down action stopping at least one managed server within the dynamic cluster.

10. The method of claim 8, further comprising:

providing a work manager, the work manager comprising a partition thread tuning module; and

wherein the triggered action is a tuning action.

11. The method of claim 8, wherein the one or more rules comprise at least one of the group of rules consisting of watch rules, smart rules, and calendar rules.

12. The method of claim 8, further comprising:

providing, via an interceptor framework, an interceptor before the triggered action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions is triggered.

13. The method of claim 12, further comprising:

providing, via the interceptor framework, another interceptor after the triggered action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions is completed.

14. The method of claim 8, wherein the application server environment comprises a multi-tenant application server environment, and wherein the system can associate the one or more partitions with a tenant, for use by the tenant.

15. A non-transitory computer readable storage medium, including instructions stored thereon for rule-based elasticity support in an application server environment which when read and executed by one or more computers cause the one or more computers to perform steps comprising:

providing, at one or more computers, including an application server environment executing thereon,

a plurality of deployable resources which can be used within the application server environment,

one or more partitions, wherein each partition provides an administrative and runtime subdivision of a domain,

an administration server, the administration server comprising a diagnostic framework, a rules framework, and an elastic service manager, the rules framework comprising one or more rules, the elastic service manager configured to perform an action within the application server environment, and

a dynamic cluster for use by the one or more partitions, the dynamic cluster comprising an initial number of servers running within the dynamic cluster,

monitoring, by the diagnostic framework, metrics associated with the one or more partitions and the dynamic cluster; and

triggering, by the rules framework, the action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions.

16. The non-transitory computer readable storage medium of claim 15, wherein the triggered action is a scale up action or a scale down action, the scale up action starting at least one managed server within the dynamic cluster, the scale down action stopping at least one managed server within the dynamic cluster.

17. The non-transitory computer readable storage medium of claim 15, the steps further comprising:

providing a work manager, the work manager comprising a partition thread tuning module; and

wherein the triggered action is a tuning action.

18. The non-transitory computer readable storage medium of claim 15, wherein the one or more rules comprise at least one of the group of rules consisting of watch rules, smart rules, and calendar rules.

19. The non-transitory computer readable storage medium of claim 15, the steps further comprising:

providing, via an interceptor framework, an interceptor before the triggered action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions is triggered.

20. The non-transitory computer readable storage medium of claim 15, the steps further comprising:

providing, via the interceptor framework, another interceptor after the triggered action based upon a comparison between one of the one or more rules and the monitored metrics associated with the one or more partitions is completed.