SYSTEM AND METHOD FOR A CLOUD COMPUTING ABSTRACTION LAYER

• US 20150067783A1
• Filed: 11/10/2014
• Published: 03/05/2015
• Est. Priority Date: 06/19/2009
• Status: Abandoned Application

• Current Assignee: Servicemesh Incorporated (DXC Technology Company)
• Original Assignee: Servicemesh Incorporated (DXC Technology Company)
• Inventors: Pulier, Eric, Martinez, Frank, Hill, Duncan Christopher
• Application Number:
  US14/537,653
• Publication Number:
  US 20150067783A1
• Time in Patent Office: Days
• US Class Current: 726/3
• CPC Class Codes: G06F 2009/45595 Network integration; Enabling network access in virtual machine instances
• CPC Class Codes: G06F 9/45558 Hypervisor-specific management and integration aspects
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: H04L 12/4633 Interconnection of networks using encapsulation techniques, e.g. tunneling
• CPC Class Codes: H04L 12/66 Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
• CPC Class Codes: H04L 41/5019 Ensuring fulfilment of SLA
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 63/0272 Virtual private networks
• 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 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services

Abstract

According to one system of the invention, the system provides a cloud-computing service from a cloud-computing environment comprising a plurality of cloud-computing resources. The system may comprise: a management module configured to manage a cloud-computing resource of the plurality of cloud-computing resources as a cloud-computing service, wherein the cloud-computing service performs a computer workload; an adapter configured to connect to the cloud-computing resource to the system and translate a management instruction received from the management module into a proprietary cloud application program interface call for the cloud-computing resource; a cloud service bus configured to route the management instruction from the management module to the adapter; a consumption module configured to allow a user to subscribe the cloud-computing service; a planning module configured to plan the cloud-computing service; and a build module configured to build the cloud-computing service from the cloud-computing resource and publish the cloud-computing service to the consumption module.

Claims

1. A computer-implemented method comprising:

determining, by a computing system, a scoring logic based on at least two selected from the group consisting of a business attribute, an operational attribute, and a technical attribute, wherein the group describes mission-critical requirements, legal obligation requirements, service level agreement (SLA) requirements, time of day availability requirements, and seasonality requirements;

identifying, by the computing system, a cloud-computing resource, out of a plurality of cloud-computing resources, based on the scoring logic; and

performing, by the computing system, a computer workload using the cloud-computing resource.

2. The computer-implemented method of claim 1, further comprising:

receiving, prior to the determining of the scoring logic, the group consisting of the business attribute, the operational attribute, and the technical attribute, wherein the group provides information associated with the computer workload.

3. The computer-implemented method of claim 1, further comprising:

receiving a constraint for at least one of the cloud-computing resource or the computer workload; and

applying the constraint with respect to the cloud-computing resource to limit one or more operations of the cloud-computing resource when performing the computer workload using the cloud-computing resource.

4. The computer-implemented method of claim 1, further comprising:

deploying the cloud-computing resource within a virtual private cloud prior to the performing of the computer workload using the cloud-computing resource.

5. The computer-implemented method of claim 4, wherein the cloud-computing resource is deployed under control of a virtual machine manager.

6. The computer-implemented method of claim 4, further comprising:

receiving, prior to the identifying of the cloud-computing resource, a request to perform the computer workload within the virtual private cloud, wherein the performing of the computer workload using the cloud-computing resource includes performing the computer workload using the cloud-computing resource deployed within the virtual private cloud.

7. The computer-implemented method of claim 4, further comprising:

defining a security zone that includes the virtual private cloud; and

applying a security policy to the security zone to cause one or more operations of the cloud-computing resource to be subject to the security policy when performing the computer workload using the cloud-computing resource.

8. The computer-implemented method of claim 7, wherein the security zone is defined based on at least one of a physical location associated with usage of the virtual private cloud, a network location associated with usage of the virtual private cloud, or attribute of an organization associated with the virtual private cloud.

9. The computer-implemented method of claim 7, wherein the security policy includes at least one of an access policy, a read-permission policy, a write-permission policy, an edit-permission policy, a privacy-based policy, an encryption policy, or a cloud-computing resource utilization policy.

10. The computer-implemented method of claim 1, further comprising:

declaring a static network address for the computer workload.

11. A system comprising:

at least one processor; and

a memory storing instructions that, when executed by the at least one processor, cause the system to perform;

determining a scoring logic based on at least two selected from the group consisting of a business attribute, an operational attribute, and a technical attribute, wherein the group describes mission-critical requirements, legal obligation requirements, service level agreement (SLA) requirements, time of day availability requirements, and seasonality requirements;

identifying a cloud-computing resource, out of a plurality of cloud-computing resources, based on the scoring logic; and

performing a computer workload using the cloud-computing resource.

12. The system of claim 11, wherein the instructions cause the system to further perform:

receiving, prior to the determining of the scoring logic, the group consisting of the business attribute, the operational attribute, and the technical attribute, wherein the group provides information associated with the computer workload.

13. The system of claim 11, wherein the instructions cause the system to further perform:

receiving a constraint for at least one of the cloud-computing resource or the computer workload; and

applying the constraint with respect to the cloud-computing resource to limit one or more operations of the cloud-computing resource when performing the computer workload using the cloud-computing resource.

14. The system of claim 11, wherein the instructions cause the system to further perform:

deploying the cloud-computing resource within a virtual private cloud prior to the performing of the computer workload using the cloud-computing resource.

15. The system of claim 14, wherein the instructions cause the system to further perform:

receiving, prior to the identifying of the cloud-computing resource, a request to perform the computer workload within the virtual private cloud, wherein the performing of the computer workload using the cloud-computing resource includes performing the computer workload using the cloud-computing resource deployed within the virtual private cloud.

16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform:

determining a scoring logic based on at least two selected from the group consisting of a business attribute, an operational attribute, and a technical attribute, wherein the group describes mission-critical requirements, legal obligation requirements, service level agreement (SLA) requirements, time of day availability requirements, and seasonality requirements;

identifying a cloud-computing resource, out of a plurality of cloud-computing resources, based on the scoring logic; and

performing a computer workload using the cloud-computing resource.

17. The non-transitory computer-readable storage medium of claim 16, wherein the instructions cause the computing system to further perform:

receiving, prior to the determining of the scoring logic, the group consisting of the business attribute, the operational attribute, and the technical attribute, wherein the group provides information associated with the computer workload.

18. The non-transitory computer-readable storage medium of claim 16, wherein the instructions cause the computing system to further perform:

receiving a constraint for at least one of the cloud-computing resource or the computer workload; and

applying the constraint with respect to the cloud-computing resource to limit one or more operations of the cloud-computing resource when performing the computer workload using the cloud-computing resource.

19. The non-transitory computer-readable storage medium of claim 16, wherein the instructions cause the computing system to further perform:

deploying the cloud-computing resource within a virtual private cloud prior to the performing of the computer workload using the cloud-computing resource.

20. The non-transitory computer-readable storage medium of claim 19, wherein the instructions cause the computing system to further perform:

receiving, prior to the identifying of the cloud-computing resource, a request to perform the computer workload within the virtual private cloud, wherein the performing of the computer workload using the cloud-computing resource includes performing the computer workload using the cloud-computing resource deployed within the virtual private cloud.