Organizing data in a virtual computing infrastructure

• US 10,282,764 B2
• Filed: 08/31/2017
• Issued: 05/07/2019
• Est. Priority Date: 06/15/2010
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Van Biljon, Willem Robert, Pinkham, Christopher Conway, Cloran, Russell Andrew, Gorven, Michael Carl, Hardy, Alexandre, Divey, Brynmor K. B., Hoole, Quinton Robin, Kalele, Girish
• Primary Examiner(s): Smarth, Gerald A
• Application Number:
  US15/692,929
• Publication Number:
  US 20170364973A1
• Time in Patent Office: 614 Days
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 2221/2141 Access rights, e.g. capability lists, access control lists, access tables, access matrices
• CPC Class Codes: G06F 2221/2145 Inheriting rights or properties, e.g., propagation of permissions or restrictions within a hierarchy
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/10 Tax strategies
• CPC Class Codes: H04L 41/0213 Standardised network management protocols, e.g. simple network management protocol [SNMP]
• CPC Class Codes: H04L 63/0236 Filtering by address, protocol, port number or service, e.g. IP-address or URL
• CPC Class Codes: H04L 63/101 Access control lists [ACL]
• CPC Class Codes: H04L 63/102 Entity profiles
• 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
• CPC Class Codes: H04L 9/40 Network security protocols
• CPC Class Codes: H04M 15/66 Policy and charging system

Abstract

Organizing data in a cloud computing environment having a plurality of computing nodes is described. An authorization to service a request is received. The request may be from a user for launching an instance. In response to receiving the authorization and based on the request, an image list is determined. The image list includes information corresponding to a plurality of machine images. At least one machine image is identified from the image list associated with a functional requirement of the request. The instance is launched at the at least one computing node. The at least one machine image is updated after the instance has been launched.

Claims

1. A non-transitory computer-readable storage medium storing instructions which, when executed by one or more processors, cause the one or more processors to:

meter, using a master node of a cluster of computer systems in a cloud computing environment, usage of one or more cloud resources hosted on the cluster of computer systems in the cloud computing environment or hosted on one or more remote cloud sites accessible to the cluster of computer systems;

generate one or more usage records based on the metering, wherein each usage record of the one or more usage records indicates usage of a cloud resource by a user, and wherein each usage record of the one or more usage records includes a tag;

apply one or more rules to the one or more usage records to determine one or more actions, wherein each rule of the one or more rules includes;

a rule name,

a plurality of predicates associated with the rule name, wherein at least one of the plurality of predicates includes an expression that tests a value of the tag in a usage record, and

an action to take based on determining that each of the plurality of predicates is true, the action including a determination of one or more accounting values;

associate, based on the determined one or more actions, one or more account configurations with the usage of the one or more cloud resources;

associate, based on the determined one or more actions, one or more entities with one or more settlement rules; and

generate at least one report file based on the one or more rules, one or more account configurations, and one or more entities, the at least one report file including a list of transactions.

2. The non-transitory computer-readable storage medium of claim 1, wherein the at least one report file includes data that records a consumption of one or more cloud resources.

3. The non-transitory computer-readable storage medium of claim 1, wherein associating the one or more accounting configurations with the usage of the one or more cloud resources includes modifying the one or more accounting configurations.

4. The non-transitory computer-readable storage medium of claim 1, wherein each of the one or more account configurations includes:

an account name referenced by the one or more rules;

account information associated with account details;

information associated with an accounting cycle;

a debit value performed to the account information in a current accounting cycle for the account information; and

historic debit and credit value information.

5. The non-transitory computer-readable storage medium of claim 1, wherein at least one of the one or more accounting configurations includes a clearing account against which one or debits or credits are performed when a payment file is generated.

6. The non-transitory computer-readable storage medium of claim 1, wherein the one or more settlement rules include one or more revenue share allocation plans.

7. The non-transitory computer-readable storage medium of claim 1, wherein the tag is associated with a value that identifies an account.

8. The non-transitory computer-readable storage medium of claim 1, wherein at least one of the one or more accounting values includes a sequence of tag values that provides a detailed breakdown of a calculation of an account'"'"'s value.

9. The non-transitory computer-readable storage medium of claim 1, wherein the one or more rules includes a plurality of rules and a number of the plurality of rules is shortened by tuple sets that specify meta rules.

10. The non-transitory computer-readable storage medium of claim 1, wherein the one or more rules includes a rule for determining shared revenue allocations.

11. The non-transitory computer-readable storage medium of claim 1, wherein applying the one or more rules includes determining revenue share allocations among a plurality of entities.

12. The non-transitory computer-readable storage medium of claim 11, wherein the revenue share allocations include revenue allocations divided by at least one service provider of the cloud computing environment and at least one service vendor.

13. The non-transitory computer-readable storage medium of claim 12, wherein the at least one service vendor is a software vendor.

14. The non-transitory computer-readable storage medium of claim 12, wherein the at least one service vendor adds one or more functions to an infrastructure of the cloud computing environment.

15. The non-transitory computer-readable storage medium of claim 1,

wherein the instructions include a distributed control plane;

wherein the cluster of computer systems includes a plurality of virtual machine nodes, the plurality of virtual machine nodes including the master node; and

wherein the distributed control plane is replicated on each of the plurality of virtual machine nodes in the cluster of computer systems.

16. The non-transitory computer-readable storage medium of claim 15,

wherein the distributed control plane includes a metering module;

and

wherein the master node is configured to execute the distributed control plane.

17. A system for assessing usage of a cloud computing environment, the system comprising:

one or more processors; and

a computer-readable storage medium storing instructions that are executable by the one or more processors, wherein the instructions comprise;

a metering engine configured to execute on a master node of a cluster of computer systems in a cloud computing environment, the metering engine configured to;

meter usage of one or more cloud resources hosted on the cluster of computer systems in the cloud computing environment or hosted on one or more remote cloud sites accessible to the cluster of computer systems;

generate one or more usage records based on the metered usage, wherein each usage record of the one or more usage records indicates usage of a cloud resource by a user, and wherein each usage record of the one or more usage records includes a tag; and

apply one or more rules to the one or more usage records to determine one or more actions, wherein each rule of the one or more rules includes;

a rule name;

a plurality of predicates associated with the rule name, wherein at least one of the plurality of predicates includes an expression that tests a value of the tag in a usage record; and

an action to take based on determining that each of the plurality of predicates is true, the action including a determination of one or more accounting values;

a configuration module configured to provide one or more account configurations to the metering engine, the one or more account configurations including one or more accounts associated with the usage of the one or more cloud resources and one or more entities associated with one or more settlement rules; and

a presentation layer configured to collate information from the metering engine and configuration module and generate at least one report file, the at least one report file including a list of transactions.

18. The system of claim 17, wherein:

the cluster of computer systems includes a plurality of virtual machine nodes, the plurality of virtual machine nodes including the master node; and

the metering engine is replicated on each of the plurality of virtual machine nodes in the cluster of computer systems.

19. A method of accessing usage of a cloud computing environment, the method comprising:

metering, by a master node of a cluster of computer systems in a cloud computing environment, usage of one or more cloud resources hosted on the cluster of computer systems in the cloud computing environment or hosted on one or more remote cloud sites accessible to the cluster of computer systems;

generating one or more usage records based on the metering, wherein each usage record of the one or more usage records indicates usage of a cloud resource by a user, and wherein each usage record of the one or more usage records includes a tag;

applying one or more rules to the one or more usage records to determine one or more actions, wherein each rule of the one or more rules includes;

a rule name,

a plurality of predicates associated with the rule name, wherein at least one of the plurality of predicates includes an expression that tests a value of the tag in a usage record, and

an action to take based on determining that each of the plurality of predicates is true, the action including a determination of one or more accounting values;

associating, based on the determined one or more actions, one or more account configurations with the usage of the one or more cloud resources;

associating, based on the determined one or more actions, one or more entities with one or more settlement rules; and

generating at least one report file based on the one or more rules, one or more account configurations, and one or more entities, the at least one report file including a list of transactions.

20. The method of claim 19, further comprising executing a distributed control plane on the master node, wherein:

the distributed control plane includes a metering module that performs metering the usage of the one or more cloud resources, generating the one or more usage records, and applying the one or more rules to the one or more usage records;

the cluster of computer systems includes a plurality of virtual machine nodes, the plurality of virtual machine nodes including the master node; and

the distributed control plane is replicated on each of the plurality of virtual machine nodes in the cluster of computer systems.