Configuring resources to exploit elastic network capability

• US 9,923,839 B2
• Filed: 11/25/2015
• Issued: 03/20/2018
• Est. Priority Date: 11/25/2015
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Chitti, Mark V., Freimuth, Douglas M., Hollingsworth, John F., Mandalia, Baiju D.
• Primary Examiner(s): Huynh, Dung B
• Application Number:
  US14/952,466
• Publication Number:
  US 20170149688A1
• Time in Patent Office: 846 Days
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 41/5003 Managing SLA; Interaction between SLA and QoS
• CPC Class Codes: H04L 41/5025 by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
• CPC Class Codes: H04L 47/781 Centralised allocation of resources

Abstract

Resource configuration to exploit elastic network capability is provided by establishing an elastic network bandwidth allocation level to provide for an application for transfer of data between the application and an elastic network, the application hosted at a data center, then dynamically configuring, for the application, elastic network bandwidth allocation from the network service provider in accordance with the established elastic network bandwidth allocation level, and allocating storage resources of the data center for the application and processing resources of the data center for the application, the allocating being based on the established elastic network bandwidth allocation level and providing storage resources and processing resources to operate at a level commensurate with the established elastic network bandwidth allocation level.

Claims

1. A computer-implemented method comprising:

establishing an elastic network bandwidth allocation level to provide for an application for transfer of data between the application and an elastic network, the application hosted at a data center;

establishing with the network service provider customer-specific profiles for the application to facilitate setting policy paramaters at the network service provider for bandwidth allocation based on the customer-specific profiles;

dynamically configuring, for the application, elastic network bandwidth allocation from the network service provider in accordance with the established elastic network bandwidth allocation level, wherein the dynamically configuring the elastic network bandwidth allocation comprises providing, by an edge appliance of the data center, an indication to the network service provider to invoke a policy at the network service provider to configure the elastic network bandwidth allocation to be the established elastic network bandwidth allocation level; and

allocating storage resources of the data center for the application and processing resources of the data center for the application, the allocating being based on the established elastic network bandwidth allocation level and providing storage resources and processing resources to operate at a level commensurate with the established elastic network bandwidth allocation level.

2. The method of claim 1, wherein the establishing comprises establishing the elastic network bandwidth allocation level based on anticipated network demand by the application.

3. The method of claim 2, wherein the anticipated network demand is based on one or more of:

a usage input or historical analysis.

4. The method of claim 1, wherein the establishing is based on one or more of:

storage quality of service, network capacity efficiency, or compute demand.

5. The method of claim 1, wherein the storage resources comprise storage input/output ports of a storage unit of the data center.

6. The method of claim 5, further comprising tracking storage input/output port capacity.

7. The method of claim 1, wherein the storage resources comprise storage input/output operations per second of a storage unit of the data center.

8. The method of claim 1, wherein the processing resources comprise virtualized storage area network processing power of a storage area network component.

9. The method of claim 1, wherein the processing resources comprise virtualized processor power for one or more application servers.

10. The method of claim 1, wherein the application comprises a multi-tenant application servicing a plurality of different customers, wherein the establishing, dynamically configuring, and allocating the storage resources and processing resources are tailored to a first customer of the plurality of different customers, and wherein the method repeats the establishing, dynamically configuring, and allocating storage resources and processing resources tailored for each additional customer of the plurality of different customers.

11. A computer program product comprising:

a computer readable storage medium readable by a processor and storing instructions for execution by the processor for performing a method comprising;

establishing an elastic network bandwidth allocation level to provide for an application for transfer of data between the application and an elastic network, the application hosted at a data center;

establishing with the network service provider customer-specific profiles for the application to facilitate setting policy paramaters at the network service provider for bandwidth allocation based on the customer-specific profiles;

dynamically configuring, for the application, elastic network bandwidth allocation from the network service provider in accordance with the established elastic network bandwidth allocation level, wherein the dynamically configuring the elastic network bandwidth allocation comprises providing, by an edge appliance of the data center, an indication to the network service provider to invoke a policy at the network service provider to configure the elastic network bandwidth allocation to be the established elastic network bandwidth allocation level; and

allocating storage resources of the data center for the application and processing resources of the data center for the application, the allocating being based on the established elastic network bandwidth allocation level and providing storage resources and processing resources to operate at a level commensurate with the established elastic network bandwidth allocation level.

12. The computer program product of claim 11, wherein the establishing comprises establishing the elastic network bandwidth allocation level based on anticipated network demand by the application.

13. The computer program product of claim 11, wherein the storage resources comprise one or more of storage input/output ports of a storage unit of the data center or storage input/output operations per second of a storage unit of the data center.

14. The computer program product of claim 11, wherein the processing resources comprise one or more of virtualized storage area network processing power of a storage area network component or virtualized processor power for one or more application servers.

15. The computer program product of claim 11, wherein the storage resources comprise at least one of the group consisting of:

(i) storage input/output ports of a storage unit of the data center and (ii) storage input/output operations per second of a storage unit of the data center.

16. The computer program product of claim 11, wherein the processing resources comprise at least one of the group consisting of:

(i) virtualized storage area network processing power of a storage area network component, and (ii) virtualized processor power for one or more application servers.

17. A computer system comprising:

a memory; and

a processor in communication with the memory, wherein the computer system is configured to perform a method, the method comprising;

establishing an elastic network bandwidth allocation level to provide for an application for transfer of data between the application and an elastic network, the application hosted at a data center;

establishing with the network service provider customer-specific profiles for the application to facilitate setting policy paramaters at the network service provider for bandwidth allocation based on the customer-specific profiles;

dynamically configuring, for the application, elastic network bandwidth allocation from the network service provider in accordance with the established elastic network bandwidth allocation level, wherein the dynamically configuring the elastic network bandwidth allocation comprises providing, by an edge appliance of the data center, an indication to the network service provider to invoke a policy at the network service provider to configure the elastic network bandwidth allocation to be the established elastic network bandwidth allocation level; and

allocating storage resources of the data center for the application and processing resources of the data center for the application, the allocating being based on the established elastic network bandwidth allocation level and providing storage resources and processing resources to operate at a level commensurate with the established elastic network bandwidth allocation level.

18. The computer system of claim 17, wherein the storage resources comprise one or more of storage input/output ports of a storage unit of the data center or storage input/output operations per second of a storage unit of the data center, and wherein the processing resources comprise one or more of virtualized storage area network processing power of a storage area network component or virtualized processor power for one or more application servers.

19. The computer system of claim 17, wherein the storage resources comprise at least one of the group consisting of:

(i) storage input/output ports of a storage unit of the data center and (ii) storage input/output operations per second of a storage unit of the data center.

20. The computer system of claim 17, wherein the processing resources comprise at least one of the group consisting of:

(i) virtualized storage area network processing power of a storage area network component, and (ii) virtualized processor power for one or more application servers.