Predictively provisioning cloud computing resources for virtual machines

Patent metadata

Field	Value
Publication number	US-9817690-B2
Application number	US-201514852043-A
Country	US
Kind code	B2
Filing date	Sep 11, 2015
Priority date	Sep 11, 2015
Publication date	Nov 14, 2017
Grant date	Nov 14, 2017

Abstract

Methods, computer program products, and systems are presented. The methods include, for instance: predictively provisioning, by one or more processor, cloud computing resources of a cloud computing environment for at least one virtual machine; and initializing, by the one or more processor, the at least one virtual machine with the provisioned cloud computing resources of the cloud computing environment. In one embodiment, the predictively provisioning may include: receiving historical utilization information of multiple virtual machines of the cloud computing environment, the multiple virtual machines having similar characteristics to the at least one virtual machine; and determining the cloud computing resources for the at least one virtual machine using the historical utilization information of the multiple virtual machines. In another embodiment, the predictively may include updating a provisioning database with the historical utilization information of the multiple virtual machines of the cloud computing environment.

First claim

What is claimed is:

1. A method comprising:
predictively provisioning, by one or more processor, cloud computing resources of a cloud computing environment for at least one virtual machine, wherein the predictively provisioning includes receiving historical utilization information of multiple virtual machines of the cloud computing environment, the multiple virtual machines having similar characteristics to the at least one virtual machine, and determining the cloud computing resources for the at least one virtual machine using the historical utilization information of the multiple virtual machines;
triggering, by the one or more processor, initializing the at least one virtual machine with the provisioned cloud computing resources of the cloud computing environment; and
wherein the cloud computing environment comprises multiple hypervisors, the predictively provisioning comprises selecting the cloud computing resources associated with a hypervisor of the multiple hypervisors, and the triggering initializing comprises sending an initialization request to the selected hypervisor.

2. The method of claim 1 , wherein the predictively provisioning further comprises updating a provisioning database with the historical utilization information of the multiple virtual machines of the cloud computing environment.

3. The method of claim 2 , wherein the determining further comprises data mining the provisioning database to determine the cloud computing resources, the data mining comprising using at least one of regression or constraint analysis of the provisioning database.

4. The method of claim 1 , wherein the predictively provisioning comprises:
receiving a provisioning request, the provisioning request comprising at least processor, memory, storage, or tenant requirements of the at least one virtual machine; and
comparing the processor, memory, storage, or tenant requirements of the at least one virtual machine with available resources of the cloud computing environment to provision the cloud computing resources for the at least one virtual machine.

5. The method of claim 1 , wherein the predictively provisioning comprises:
calculating available cloud computing resources of the cloud computing environment;
filtering the available cloud computing resources to determine the cloud computing resources for the at least one virtual machine, the filtering comprising using at least one of real-time data, empirical data, or prediction data of the cloud computing environment.

6. The method of claim 1 , wherein the receiving historical utilization information of multiple virtual machines of the cloud computing environment includes receiving a table with a real-time CPU memory and disk utilization for each of the multiple virtual machines on a periodic basis.

7. The method of claim 1 , wherein the receiving historical utilization information of multiple virtual machines of the cloud computing environment includes receiving historical utilization information of a first virtual machine at a first data center and receiving historical utilization information of a second virtual machine at a second data center external to the first data center, and wherein the initializing the at least one virtual machine includes initializing at least one virtual machine of the second data center.

8. The method of claim 1 , wherein each of the multiple virtual machines and the at least one virtual machine subject to the initializing run different instances of the same program.

9. The method of claim 1 , wherein the receiving historical utilization information of multiple virtual machines of the cloud computing environment includes receiving a table with a real-time CPU memory and disk utilization for each of the multiple virtual machines on a periodic basis, wherein the receiving historical utilization information of multiple virtual machines of the cloud computing environment includes receiving historical utilization information of a first virtual machine at a first data center and receiving historical utilization information of a second virtual machine at a second data center external to the first data center, and wherein the initializing the at least one virtual machine includes initializing at least one virtual machine of the second data center, and wherein each of the multiple virtual machine and the at least one virtual machine subject to the initializing run different instances of the same program.

10. The method of claim 1 , wherein the predictively provisioning cloud computing resources of a cloud computing environment for at least one virtual machine includes predictively provisioning a certain virtual machine for running a certain program, wherein the receiving historical utilization information of multiple virtual machines of the cloud computing environment includes receiving historical utilization information of multiple virtual machines of the type of the certain virtual machine running the certain program and receiving historical utilization information of multiple virtual machines that are of types other than the certain virtual machine, wherein the determining the cloud computing resources for the at least one virtual machine includes determining provisioning resources for the certain virtual machine, wherein the triggering initializing the at least one virtual machine includes triggering initializing the certain virtual machine with the provisioning resources for the certain virtual machine, wherein the method includes storing into a provisioning database first information including historical utilization information of multiple virtual machines of the type of the certain virtual machine running the certain program and storing into the provisioning database second information including historical utilization information of multiple virtual machines that are of types other than a type of the certain virtual machine, wherein the determining provisioning resources for the certain virtual machine include using the first information of the provisioning database preferentially to using the second information of the provisioning database.

11. The method of claim 1 , wherein the predictively provisioning cloud computing resources of a cloud computing environment for at least one virtual machine includes predictively provisioning a certain virtual machine for running a certain program, wherein the receiving historical utilization information of multiple virtual machines of the cloud computing environment includes receiving historical utilization information of multiple virtual machines of the type of the certain virtual machine running the certain program and receiving historical utilization information of multiple virtual machines that are of types other than the certain virtual machine, wherein the determining the cloud computing resources for the at least one virtual machine includes determining provisioning resources for the certain virtual machine, wherein the triggering initializing the at least one virtual machine includes triggering initializing the certain virtual machine with the provisioning resources for the certain virtual machine, wherein the method includes storing into a provisioning database first information including historical utilization information of multiple virtual machines of the type of the certain virtual machine running the certain program and storing into the provisioning database second information including historical utilization information of multiple virtual machines that are of types other than a type of the certain virtual machine, wherein the determining provisioning resources for the certain virtual machine includes, prior to receiving a provisioning request to provision the certain virtual machine, deter

Assignees

• IBM

Inventors

• Feng zhong qi
• Li Jiang Tao
• Wang Yi Bin
• Yu Chao
• Zhang qing feng

Classifications

• G06F9/5016

  the resource being the memory · CPC title

• G06F9/5044

  considering hardware capabilities · CPC title

• G06F11/3433

  for load management (allocation of a server based on load conditions G06F9/505; load rebalancing G06F9/5083; redistributing the load in a network by a load balancer H04L67/1029) · CPC title

• G06F9/48

  Program initiating; Program switching, e.g. by interrupt · CPC title

• G06F2009/45591

  Monitoring or debugging support · CPC title