System and method for scaling resources of a secondary network for disaster recovery

Patent metadata

Field	Value
Publication number	US-11698819-B2
Application number	US-202117337524-A
Country	US
Kind code	B2
Filing date	Jun 3, 2021
Priority date	Apr 1, 2021
Publication date	Jul 11, 2023
Grant date	Jul 11, 2023

Abstract

A system and method for scaling resources of a secondary network for disaster recovery uses a disaster recovery notification from a primary resource manager of a primary network to a secondary resource manager of the secondary network to generate a scale-up recommendation for additional resources to the secondary network. The additional resources are based on latest resource demands of workloads on the primary network included in the disaster recovery notification. A scale-up operation for the additional resources is then executed based on the scale-up recommendation from the secondary resource manager to operate the secondary network with the additional resources to run the workloads on the secondary network.

First claim

What is claimed is:

1. A computer-implemented method for scaling resources of a secondary network for disaster recovery, the method comprising: in response to a disaster recovery event at a primary network, transmitting a disaster recovery notification to a secondary resource manager of the secondary network from a primary resource manager of the primary network, the disaster recovery notification including latest resource demands of workloads on the primary network; generating a scale-up recommendation for additional resources to the secondary network by the secondary resource manager based on the latest resource demands of the workloads on the primary network included in the disaster recovery notification during a recommendation scaling mode, including switching a mode of operation of the secondary resource manager from a statistical-based scaling mode to a the recommendation scaling mode, wherein the statistical-based scaling mode uses a fixed incremental number of host computers for a scale-up operation for each scale-up recommendation; executing a scale-up operation for the additional resources to the secondary network based on the scale-up recommendation from the secondary resource manager; and operating the secondary network with the additional resources to run the workloads on the secondary network.

2. The method of claim 1 , wherein the additional resources include a plurality of host computers that are additionally needed in the secondary network to support the workloads and wherein executing the scale-up operation includes provisioning the plurality of host computers to the secondary network in parallel all at once.

3. The method of claim 1 , wherein the additional resources include only storage resources that are additionally needed in the secondary network to support the workloads and wherein executing the scale-up operation includes provisioning the storage resources to the secondary network.

4. The method of claim 1 , wherein the additional resources include only compute resources that are additionally needed in the secondary network to support the workloads and wherein executing the scale-up operation includes provisioning a plurality of compute-only host computers to the secondary network in parallel.

5. The method of claim 1 , further comprising, after the secondary network has been scaled up with the additional resources, switching the mode of operation for the secondary resource manager from the recommendation scaling mode back to the statistical-based scaling mode.

6. The method of claim 1 , wherein the primary network is an on-premises software-defined data center and the secondary network is a software-defined data center in a public cloud computing environment.

7. The method of claim 1 , further comprising interacting with a site recovery manager at the primary network to detect the disaster recovery event at the primary network by the primary resource manager.

8. The method of claim 1 , wherein the scale-up operation for the additional resources to the secondary network is not based on exponentially weighted moving average (EWMA) weights or resource utilizations.

9. A non-transitory computer-readable storage medium containing program instructions for scaling resources of a secondary network for disaster recovery, wherein execution of the program instructions by one or more processors of a computer system causes the one or more processors to perform steps comprising: in response to a disaster recovery event at a primary network, transmitting a disaster recovery notification to a secondary resource manager of the secondary network from a primary resource manager of the primary network, the disaster recovery notification including latest resource demands of workloads on the primary network; generating a scale-up recommendation for additional resources to the secondary network by the secondary resource manager based on the latest resource demands of the workloads on the primary network included in the disaster recovery notification during a recommendation scaling mode, including switching a mode of operation of the secondary resource manager from a statistical-based scaling mode to a the recommendation scaling mode, wherein the statistical-based scaling mode uses a fixed incremental number of host computers for a scale-up operation for each scale-up recommendation; executing a scale-up operation for the additional resources to the secondary network based on the scale-up recommendation from the secondary resource manager; and operating the secondary network with the additional resources to run the workloads on the secondary network.

10. The computer-readable storage medium of claim 9 , wherein the additional resources include a plurality of host computers that are additionally needed in the secondary network to support the workloads and wherein executing the scale-up operation includes provisioning the plurality of host computers to the secondary network in parallel all at once.

11. The computer-readable storage medium of claim 9 , wherein the additional resources include only storage resources that are additionally needed in the secondary network to support the workloads and wherein executing the scale-up operation includes provisioning the storage resources to the secondary network.

12. The computer-readable storage medium of claim 9 , wherein the additional resources include only compute resources that are additionally needed in the secondary network to support the workloads and wherein executing the scale-up operation includes provisioning a plurality of compute-only host computers to the secondary network in parallel.

13. The computer-readable storage medium of claim 9 , wherein the steps further comprise, after the secondary network has been scaled up with the additional resources, switching the mode of operation for the secondary resource manager from the recommendation scaling mode back to the statistical-based scaling mode.

14. The computer-readable storage medium of claim 9 , wherein the primary network is an on-premises software-defined data center and the secondary network is a software-defined data center in a public cloud computing environment.

15. The computer-readable storage medium of claim 9 , wherein the steps further comprise interacting with a site recovery manager at the primary network to detect the disaster recovery event at the primary network by the primary resource manager.

16. A system comprising: memory; and at least one processor configured to: in response to a disaster recovery event at a primary network of the system, transmit a disaster recovery notification to a secondary resource manager of a secondary network of the system from a primary resource manager of the primary network, the disaster recovery notification including latest resource demands of workloads on the primary network; generate a scale-up recommendation for additional resources to the secondary network by the secondary resource manager based on the latest resource demands of the workloads on the primary network included in the disaster recovery notification during a recommendation scaling mode; execute a scale-up operation for the additional resources to the secondary network based on the scale-up recommendation from the secondary resource manager; and operate the secondary network with the additional resources to run the workloads on the secondary network, wherein the at least one processor is configured to switch a mode of operation of the secondary resource manager from a statistical-based scaling mode to a the recommendation scaling mode, wherein the statistical-based scaling mode uses a fixed incremental

Assignees

• Vmware Inc

Inventors

• Parmar Piyush
• Agarwal Anant
• Nair Vikram
• Desai Aalap
• Chandrasekaran Rahul
• Cherukupalli Ravi Kant

Classifications

• G06F11/3452

  Performance evaluation by statistical analysis · CPC title

• G06F11/3414

  Workload generation, e.g. scripts, playback · CPC title

• G06F11/203

  using migration · CPC title

• G06F9/5016

  the resource being the memory · CPC title

• G06F9/505 Primary

  considering the load · CPC title