Extensible framework to support different deployment architectures

• US 9,491,117 B2
• Filed: 10/23/2015
• Issued: 11/08/2016
• Est. Priority Date: 07/31/2009
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Jaisinghani, Devendra Rajkumar
• Primary Examiner(s): Lazaro, David
• Assistant Examiner(s): HENRY, MARIEGEORGES A
• Application Number:
  US14/921,165
• Publication Number:
  US 20160043903A1
• Time in Patent Office: 382 Days
• Field of Search: 709/220, 709/226, 717/100
• US Class Current: 1/1
• CPC Class Codes: G06F 11/203 using migration
• CPC Class Codes: G06F 3/048 Interaction techniques based on graphical user interfaces [GUI]
• CPC Class Codes: G06F 9/4401 Bootstrapping security arrangements therefor G06F21/57
• CPC Class Codes: H04L 12/14 Charging , metering or billing arrangements for data wireline or wireless communications
• CPC Class Codes: H04L 12/1428 Invoice generation, e.g. customization, lay-out, database processing, algorithms for calculating the bill or formatting invoices as WWW pages invoicing in general G06Q30/04
• CPC Class Codes: H04L 41/0803 Configuration setting
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/344 Out-of-band transfers
• CPC Class Codes: H04L 47/829 Topology based
• CPC Class Codes: H04L 65/80 Responding to QoS
• CPC Class Codes: H04L 67/30 Profiles

Abstract

A method for managing services and resources across a plurality of deployment architectures is described. The method begins by defining a profile corresponding to a deployment architecture. Each profile is defined according to a meta-model. The meta model comprises a service object representing a service that is accessible over a network, resource objects representing resources consumed by the service, inter-relationships between the service and resources, inter-relationships between the resources. For each profile, a topology is generated based on the profile. The topology includes the resources used to perform a task.

Claims

1. A method comprising:

defining, in a memory storage device, a profile corresponding to a deployment architecture, the profile defined according to a meta-model, the meta-model comprising;

a service object representing a software service, and

one or more resource objects representing;

hardware resources consumed by the service, and

inter-relationships between the service and the hardware resources;

generating, using one or more processors, a topology based on the profile, the topology including one or more hardware resources to perform a task; and

deploying the service based on the topology.

2. The method of claim 1, wherein the meta-model further comprises configuration objects each associated with a resource object of the resource objects, each configuration object declaring a configuration associated with the associated resource object.

3. The method of claim 1, wherein the meta-model further comprises performance objects each associated with a resource object of the resource objects, each performance object declaring a performance metric of the associated resource object.

4. The method of claim 1, wherein the meta-model further comprises capability objects each associated with a resource object of the resource objects, each capability object declaring a capability metric of the associated resource object.

5. The method of claim 1, wherein the profile is defined according to a base model for the architecture domain and a further architecture domain.

6. The method of claim 1, wherein the service object is associated with a configuration object, a performance object, and a capability object.

7. The method of claim 1, wherein the resource object comprises a plurality of part objects.

8. The method of claim 1, wherein the meta-model comprises a group object, the group object identifying one or more of the resource objects, the group object having an associated performance object and an associated configuration object.

9. The method of claim 1, further comprising management of the service specified in the topology, by:

managing a resource of the resources within the topology, the resource corresponding to the resource object, and

managing a physical component corresponding to the resource within the topology based on the profile of the resource within the topology.

10. A system comprising:

a memory having instructions embodied thereon; and

one or more processors configured by the instructions to perform operations comprising;

defining a profile corresponding to a deployment architecture, the profile defined according to a meta-model, the meta-model comprising;

a service object representing a software service, and

one or more resource objects representing;

hardware resources consumed by the service, and

inter-relationships between the service and the hardware resources;

generating a topology based on the profile, the topology including one or more hardware resources to perform a task; and

deploying the service based on the topology.

11. The system of claim 10, wherein the meta-model further comprises configuration objects each associated with a resource object of the resource objects, each configuration object declaring a configuration associated with the associated resource object.

12. The system of claim 10, wherein the meta-model further comprises performance objects each associated with a resource object of the resource objects, each performance object declaring a performance metric of the associated resource object.

13. The system of claim 10, wherein the meta-model further comprises capability objects each associated with a resource object of the resource objects, each capability object declaring a capability metric of the associated resource object.

14. The system of claim 10, wherein the profile is defined according to a base model for the architecture domain and a further architecture domain.

15. The system of claim 10, wherein the service object is associated with a configuration object, a performance object, and a capability object.

16. The system of claim 10, wherein the resource object comprises a plurality of part objects.

17. The system of claim 10, wherein the meta-model comprises a group object, the group object identifying one or more of the resource objects, the group object having an associated performance object and an associated configuration object.

18. The system of claim 10, wherein the operations further comprise:

managing the service specified in the topology, by;

managing a resource of the resources within the topology, the resource corresponding to the resource object, and

managing a physical component corresponding to the resource within the topology based on the profile of the resource within the topology.

19. A non-transitory machine-readable storage medium having instructions embodied thereon, the instructions executable by one or more processors to perform operations comprising:

defining a profile corresponding to a deployment architecture, the profile defined according to a meta-model, the meta-model comprising;

a service object representing a software service, and

one or more resource objects representing;

hardware resources consumed by the service, and

inter-relationships between the service and the hardware resources;

generating a topology based on the profile, the topology including one or more hardware resources to perform a task; and

deploying the service based on the topology.

20. The non-transitory machine-readable storage medium of claim 19, wherein the meta-model further comprises configuration objects each associated with a resource object of the resource objects, each configuration object declaring a configuration associated with the associated resource object.