Resolving information in a database environment

• US 9,781,049 B2
• Filed: 04/26/2011
• Issued: 10/03/2017
• Est. Priority Date: 05/07/2010
• Status: Active Grant

• Current Assignee: Salesforce.com, Inc.
• Original Assignee: Salesforce.com, Inc.
• Inventors: Jensen-Horne, Nathan, Burki, Dileep, Harley, Walter Sims, Small, Matthew, Scott, Kenneth Douglas, Brooks, David Andrew, Peddada, Prasad, Patel, Hemang, Chawla, Gaurav, Vietvu, Theresa, Gurram, Shriman
• Primary Examiner(s): Duckworth, Jaime
• Application Number:
  US13/094,561
• Publication Number:
  US 20110276890A1
• Time in Patent Office: 2,352 Days
• Field of Search: 715738
• CPC Class Codes: G06F 9/5061 Partitioning or combining of resources
• CPC Class Codes: H04L 41/5054 Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/783 Distributed allocation of resources, e.g. bandwidth brokers
• 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

Abstract

Disclosed herein are techniques for identifying computing resources specified by a representation of a computing service. In some implementations, a request to analyze a computing service provided via a computing environment may be received. The computing service may have an activated state in which the computing service is available for use and a deactivated state in which the computing service is not available for use. The computing environment may comprise a plurality of computing resources each defining a variable unit of computing functionality within the computing environment. Each computing resource may be associated with a respective parameter corresponding with a respective parameter value that specifies a level of the variable unit of computing functionality defined by the computing resource. The computing service may be represented by a metadata model comprising a plurality of nodes, at least some of which specify a respective one or more of the parameter values.

Claims

1. A computer-implemented method of identifying computing resources specified by a representation of a computing service, the method comprising:

causing display of, by a system, a computing environment on a display device, the computing environment being an on-demand computing services environment configured to provide computing services to a plurality of entities in communication with the computing services environment;

receiving, at the system, a request from the display device to analyze a computing service provided via the computing environment, the computing service having an activated state in which the computing service is available for use and a deactivated state in which the computing service is not available for use;

responsive to the request from the display device, defining, by the system, a plurality of computing resources within the computing environment, each computing resource associated with a corresponding variable unit of computing functionality within the computing environment;

associating, by the system, each computing resource with a respective parameter corresponding with a respective parameter value representing a first level of access to the variable unit of computing functionality for the computing resource, the computing service being represented by a metadata model comprising a plurality of nodes representing a hierarchical arrangement of the computing resources, the plurality of entities being associated with a respective set of the parameter values that together specify a level of computing functionality provided to the entity, one or more of the plurality of nodes being associated with a respective one or more requirements, each of the requirements defining a condition that must be satisfied for a computing resource associated with the node to be in the activated state;

identifying, by the system, one or more dependency relationships between or among the plurality of computing resources represented by the plurality of nodes of the metadata model;

aggregating, by the system, the parameter values to produce aggregated parameter values by combining at least two of the parameter values that correspond with the same parameter of a same computing resource to determine a second level of access based on the aggregated parameter values, the second level of access providing more access to the variable unit of computing functionality for the same computing resource than the first level of access associated with the at least two parameter values;

determining, by the system, at least one redundancy between or among the aggregated parameter values;

removing, by the system, a computing resource associated with the redundancy from the one or more dependency relationships;

optimizing, by the system, the metadata model to remove one or more of the plurality of nodes associated with the removed computing resource; and

updating, by the system, the display of the computing environment on the display device to represent the optimized metadata model.

2. The method recited in claim 1, the method further comprising:

aggregating the requirements to produce aggregated requirements, wherein aggregating the requirements comprises combining at least two of the requirements, and wherein the description of the aggregated parameter values also includes a description of the aggregated requirements.

3. The method recited in claim 1, the method further comprising:

creating the metadata model by grouping the computing resources into units based on the identified dependency relationships.

4. The method recited in claim 1, wherein one or more of the parameters corresponds with a respective parameter value that specifies whether the computing functionality defined by the computing resource associated with the parameter has an activated state in which the computing resource is available for use or a deactivated state in which the computing resource is not available for use.

5. The method recited in claim 1, wherein the metadata model comprises a directed graph, and wherein one of the plurality of nodes is a root node.

6. The method recited in claim 1, wherein aggregating the parameter values comprises traversing the directed graph via a tree traversal algorithm starting with the root node.

7. The method recited in claim 1, wherein data associated with two or more of the entities is stored in a multitenant database accessible to the two or more entities via a network.

8. The method of claim 1, wherein the variable unit of computing functionality represents an amount of a resource of the computing service allocated to the corresponding computer resource.

9. A computing system comprising:

one or more computing processors operable to execute one or more instructions to;

cause display of a computing environment on a display device, the computing environment being an on-demand computing services environment configured to provide computing services to a plurality of entities in communication with the computing services environment;

receive a request from the display device to analyze a computing service provided via the computing environment, the computing service having an activated state in which the computing service is available for use and a deactivated state in which the computing service is not available for use;

responsive to the request from the display device, define a plurality of computing resources within the computing environment, each computing resource associated with a corresponding variable unit of computing functionality within the computing environment;

associate each computing resource with a respective parameter corresponding with a respective parameter value representing a first level of access to the variable unit of computing functionality for the computing resource, the computing service being represented by a metadata model comprising a plurality of nodes representing a hierarchical arrangement of the computing resources, the plurality of entities being associated with a respective set of the parameter values that together specify a level of computing functionality provided to the entity, one or more of the plurality of nodes being associated with a respective one or more requirements, each of the requirements defining a condition that must be satisfied for a computing resource associated with the node to be in the activated state;

identify one or more dependency relationships between or among the plurality of computing resources represented by the plurality of nodes of the metadata model;

aggregate the parameter values to produce aggregated parameter values by combining at least two of the parameter values that correspond with the same parameter of a same computing resource to determine a second level of access based on the aggregated parameter values, the second level of access providing more access to the variable unit of computing functionality for the same computing resource than the first level of access associated with the at least two parameter values;

determine at least one redundancy between or among the aggregated parameter values;

remove a computing resource associated with the redundancy from the one or more dependency relationships;

optimize the metadata model to remove one or more of the plurality of nodes associated with the removed computing resource; and

update the display of the computing environment on the display device to represent the optimized metadata model.

10. The computing system recited in claim 9, the one or more computing devices configured to:

aggregate the requirements to produce aggregated requirements, wherein aggregating the requirements comprises combining at least two of the requirements, and wherein the description of the aggregated parameter values also includes a description of the aggregated requirements.

11. The computing system recited in claim 9, the one or more computing devices configured to:

create the metadata model by grouping the computing resources into units based on the identified dependency relationships.

12. The computing system recited in claim 9, wherein one or more of the parameters corresponds with a respective parameter value that specifies whether the computing functionality defined by the computing resource associated with the parameter has an activated state in which the computing resource is available for use or a deactivated state in which the computing resource is not available for use.

13. The computing system recited in claim 9, wherein the metadata model comprises a directed graph, and wherein one of the plurality of nodes is a root node.

14. The computing system recited in claim 9, wherein aggregating the parameter values comprises traversing the directed graph via a tree traversal algorithm starting with the root node.

15. One or more non-transitory computer readable media having instructions stored thereon, the instructions configured to cause a method to be performed for providing a user interface component, the method comprising:

causing display of a computing environment on a display device, the computing environment being an on-demand computing services environment configured to provide computing services to a plurality of entities in communication with the computing services environment;

receiving a request from the display device to analyze a computing service provided via the computing environment, the computing service having an activated state in which the computing service is available for use and a deactivated state in which the computing service is not available for use;

responsive to the request from the display device, defining a plurality of computing resources within the computing environment, each computing resource associated with a corresponding variable unit of computing functionality within the computing environment;

associating each computing resource with a respective parameter corresponding with a respective parameter value representing a first level of access to the variable unit of computing functionality for the computing resource, the computing service being represented by a metadata model comprising a plurality of nodes representing a hierarchical arrangement of the computing resources, the plurality of entities being associated with a respective set of the parameter values that together specify a level of computing functionality provided to the entity, one or more of the plurality of nodes being associated with a respective one or more requirements, each of the requirements defining a condition that must be satisfied for a computing resource associated with the node to be in the activated state;

identifying one or more dependency relationships between or among the plurality of computing resources represented by the plurality of nodes of the metadata model;

aggregating the parameter values to produce aggregated parameter values by combining at least two of the parameter values that correspond with the same parameter of a same computing resource to determine a second level of access based on the aggregated parameter values, the second level of access providing more access to the variable unit of computing functionality for the same computing resource than the first level of access associated with the at least two parameter values;

determining at least one redundancy between or among the aggregated parameter values;

removing a computing resource associated with the redundancy from the one or more dependency relationships;

optimizing the metadata model to remove one or more of the plurality of nodes associated with the removed computing resource; and

updating the display of the computing environment on the display device to represent the optimized metadata model.

16. The one or more non-transitory computer readable media recited in claim 15, the method further comprising:

aggregating the requirements to produce aggregated requirements, wherein aggregating the requirements comprises combining at least two of the requirements, and wherein the description of the aggregated parameter values also includes a description of the aggregated requirements.

17. The one or more non-transitory computer readable media recited in claim 15, the method further comprising:

creating the metadata model by grouping the computing resources into units based on the identified dependency relationships.

18. The one or more non-transitory computer readable media recited in claim 15, wherein one or more of the parameters corresponds with a respective parameter value that specifies whether the computing functionality defined by the computing resource associated with the parameter has an activated state in which the computing resource is available for use or a deactivated state in which the computing resource is not available for use.