Selecting virtual machines to be migrated to public cloud during cloud bursting based on resource usage and scaling policies

• US 10,409,630 B2
• Filed: 01/05/2017
• Issued: 09/10/2019
• Est. Priority Date: 08/21/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Ghosh, Rahul, Paramkusham, Giribabu V., Quirk, Aaron J., Sharma, Upendra
• Primary Examiner(s): Kamran, Mehran
• Application Number:
  US15/399,581
• Publication Number:
  US 20170123837A1
• Time in Patent Office: 978 Days
• Field of Search: 718105
• CPC Class Codes: G06F 2009/4557 Distribution of virtual machine instances; Migration and load balancing
• 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 9/4856 resumption being on a different machine, e.g. task migration, virtual machine migration G06F9/5088 takes precedence
• CPC Class Codes: G06F 9/5083 Techniques for rebalancing the load in a distributed system
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: H04L 41/0826 for reduction of network costs H04L41/0833 takes precedence
• CPC Class Codes: H04L 41/0846 based on copy from other elements
• CPC Class Codes: H04L 41/0897 by horizontal or vertical scaling of resources, or by migrating entities, e.g. virtual resources or entities
• CPC Class Codes: H04L 47/781 Centralised allocation of resources

Abstract

A method, system and computer program product for selecting virtual machines to be migrated to a public cloud. The current resource usage for virtual machine instances running in the private cloud is determined. Furthermore, any scaling policies attached to the virtual machine instances running in the private cloud are obtained. Additional resource usages for any of the virtual machine instances with a scaling policy are computed for when these virtual machine instances are scaled out. A cost of running a virtual machine instance in the public cloud is then determined using its current resource usage as well as any additional resource usage if a scaling policy is attached to the virtual machine instance based on the cost for running virtual machine instances in a public cloud. If the cost is less than a threshold cost, then the virtual machine instance is selected to be migrated to the public cloud.

Claims

1. A computer program product for selecting virtual machines to be migrated to a public cloud during cloud bursting, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for:

determining current resource usage for each of a plurality of virtual machine instances running in a private cloud;

obtaining one or more scaling policies for said plurality of virtual machine instances running in said private cloud;

computing additional resource usage for each of said plurality of virtual machine instances with a scaling policy when scaled out;

receiving a cost for running virtual machine instances in said public cloud based on resource usage;

determining a cost of running a virtual machine instance of said plurality of virtual machine instances in said public cloud using said current resource usage and said additional resource usage when said virtual machine instance of said plurality of virtual machine instances is scaled out based on said received cost for running said virtual machine instances in said public cloud;

selecting said virtual machine instance of said plurality of virtual machine instances to be migrated from said private cloud to said public cloud in response to said cost being less than a threshold value; and

migrating said selected virtual machine instance of said plurality of virtual machine instances to said public cloud from said private cloud.

2. The computer program product as recited in claim 1, wherein the program code further comprises the programming instructions for:

ranking said plurality of virtual machine instances running in said private cloud in a list by said determined current resource usage and said additional resource usage for those with said scaling policy.

3. The computer program product as recited in claim 2, wherein the program code further comprises the programming instructions for:

obtaining a budget of a private cloud provider allocated for utilizing a hybrid cloud topology to determine said threshold value for migrating a virtual machine instance to said public cloud.

4. The computer program product as recited in claim 3, wherein the program code further comprises the programming instructions for:

determining an amount of resources available to be utilized in said public cloud that satisfies said budget.

5. The computer program product as recited in claim 4, wherein the program code further comprises the programming instructions for:

determining a total amount of resources to be utilized in said public cloud based on virtual machine instances selected to be migrated from said private cloud to said public cloud.

6. The computer program product as recited in claim 1, wherein said resource usage comprises processing and memory usage.

7. A system, comprising:

a memory unit for storing a computer program for selecting virtual machines to be migrated to a public cloud during cloud bursting; and

a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising;

determining current resource usage for each of a plurality of virtual machine instances running in a private cloud;

obtaining one or more scaling policies for said plurality of virtual machine instances running in said private cloud;

computing additional resource usage for each of said plurality of virtual machine instances with a scaling policy when scaled out;

receiving a cost for running virtual machine instances in said public cloud based on resource usage;

determining a cost of running a virtual machine instance of said plurality of virtual machine instances in said public cloud using said current resource usage and said additional resource usage when said virtual machine instance of said plurality of virtual machine instances is scaled out based on said received cost for running said virtual machine instances in said public cloud;

selecting said virtual machine instance of said plurality of virtual machine instances to be migrated from said private cloud to said public cloud in response to said cost being less than a threshold value; and

migrating said selected virtual machine instance of said plurality of virtual machine instances to said public cloud from said private cloud.

8. The system as recited in claim 7, wherein the program instructions of the computer program further comprise:

ranking said plurality of virtual machine instances running in said private cloud in a list by said determined current resource usage and said additional resource usage for those with said scaling policy.

9. The system as recited in claim 8, wherein the program instructions of the computer program further comprise:

obtaining a budget of a private cloud provider allocated for utilizing a hybrid cloud topology to determine said threshold value for migrating a virtual machine instance to said public cloud.

10. The system as recited in claim 9, wherein the program instructions of the computer program further comprise:

determining an amount of resources available to be utilized in said public cloud that satisfies said budget.

11. The system as recited in claim 10, wherein the program instructions of the computer program further comprise:

determining a total amount of resources to be utilized in said public cloud based on virtual machine instances selected to be migrated from said private cloud to said public cloud.

12. The system as recited in claim 7, wherein said resource usage comprises processing and memory usage.