INSTALLATION SYSTEM AND METHOD

• US 20140189691A1
• Filed: 12/20/2013
• Published: 07/03/2014
• Est. Priority Date: 12/28/2012
• Status: Abandoned Application

• Current Assignee: Hong Fu Jin Precision Industry (Shenzhen) Co., Ltd. (Hon Hai Precision Industry Co., Ltd.), Hon Hai Precision Industry Co., Ltd.
• Original Assignee: Hong Fu Jin Precision Industry (Shenzhen) Co., Ltd. (Hon Hai Precision Industry Co., Ltd.), Hon Hai Precision Industry Co., Ltd.
• Inventors: LEE, CHUNG-I, WANG, YI-GUO, PENG, KUAN-CHIAO, HUANG, JIAN
• Application Number:
  US14/135,683
• Publication Number:
  US 20140189691A1
• Time in Patent Office: Days
• US Class Current: 718/1
• CPC Class Codes: G06F 8/61 Installation
• CPC Class Codes: G06F 9/44505 Configuring for program initiating, e.g. using registry, configuration files
• CPC Class Codes: G06F 9/45533 Hypervisors; Virtual machine monitors
• CPC Class Codes: G06F 9/505 considering the load

Abstract

A remote computer is connected to a plurality of cloud servers of a data center. The remote computer obtains parameters of each cloud server and determines available cloud servers. The remote computer calculates an installation coefficient of each available cloud server according to the parameters of the available cloud server. The remote computer installs the virtual machine in the available cloud server according to a maximum installation coefficient.

Claims

1. A remote computer in communication with cloud servers of a data center, the remote computer comprising:

at least one processor; and

a storage system, which stores a monitoring application and a configuration file of a virtual machine, and one or more programs when executed by the at least one processor, causing the at least one processor to perform an installation method comprising;

sending the monitoring application to each cloud server;

obtaining parameters of each cloud server by the monitoring application and determining available cloud servers according to the parameters of each cloud server and the configuration file of the virtual machine, wherein the cloud server is determined as the available cloud server upon the condition that the parameters of the cloud server satisfies requirements in the configuration file of the virtual machine;

calculating an installation coefficient of each available cloud server according to the parameters of the available cloud server; and

installing the virtual machine in the available cloud server according to a maximum installation coefficient.

2. The remote computer of claim 1, wherein the parameters of each cloud server comprises a number of cores of a central processing unit (CPU) in the cloud server, a storage capacity of a memory in the cloud server, a storage capacity of a disk in the cloud server, a speed of an interface of the disk in the cloud server, a speed of an interface of a network interface card (NIC) in the cloud server, a disk utilization rate of the cloud server, a memory utilization rate of the cloud server, a CPU utilization rate of the cloud server, and a NIC utilization rate of the cloud server.

3. The remote computer of claim 1, wherein the configuration file of the virtual machine comprises a number of cores of the CPU required for the virtual machine, a storage capacity of the memory required for the virtual machine, a storage capacity of the disk required for the virtual machine, a CPU utilization rate required for the virtual machine, a memory utilization rate required for the virtual machine, and a NIC utilization rate required for the virtual machine.

4. The remote computer of claim 1, wherein the installation coefficient of each available cloud server is computed according to a formula:

V=Σ

Wn*Fn+M, where n represents the number of hardware components, Fn represents a hardware coefficient of the n^th hardware component, Wn represents a weight of the n^th hardware component, and M represents a constant.

5. The remote computer of claim 4, wherein the hardware coefficient of the n^th hardware component is computed according to a formula:

Fn=An*Gn+Tn, where Gn represents a utilization rate of the n^th hardware component in the cloud server, and An and Tn represents constants.

6. The remote computer of claim 4, wherein the hardware component is selected from a group consisting of a disk, a memory, a CPU, and a NIC.

7. The remote computer of claim 5, wherein the utilization rate of the n^th hardware component is selected from a group consisting of the disk utilization rate of the cloud server, a memory utilization rate of the cloud server, the CPU utilization rate of the cloud server, and the NIC utilization rate of the cloud server.

8. A computer-based installation method being performed by execution of computer readable program code by a processor of a remote computer, the remote computer in communication with cloud servers of a data center, the remote computer storing a monitoring application and a configuration file of a virtual machine, the method comprising:

sending the monitoring application to each cloud server;

obtaining parameters of each cloud server by the monitoring application and determining available cloud servers according to the parameters of each cloud server and the configuration file of the virtual machine, wherein the cloud server is determined as the available cloud server upon the condition that the parameters of the cloud server satisfies requirements in the configuration file of the virtual machine;

calculating an installation coefficient of each available cloud server according to the parameters of the available cloud server; and

installing the virtual machine in the available cloud server according to a maximum installation coefficient.

9. The method of claim 8, wherein the parameters of each cloud server comprises a number of cores of a CPU in the cloud server, a storage capacity of a memory in the cloud server, a storage capacity of a disk in the cloud server, a speed of an interface of the disk in the cloud server, a speed of an interface of a network interface card (NIC) in the cloud server, a disk utilization rate of the cloud server, a memory utilization rate of the cloud server, a CPU utilization rate of the cloud server, and a NIC utilization rate of the cloud server.

10. The method of claim 8, wherein the configuration file of the virtual machine comprises a number of cores of the CPU required for the virtual machine, a storage capacity of the memory required for the virtual machine, a storage capacity of the disk required for the virtual machine, a CPU utilization rate required for the virtual machine, a memory utilization rate required for the virtual machine, and a NIC utilization rate required for the virtual machine.

11. The method of claim 8, wherein the installation coefficient of each available cloud server is computed according to a formula:

V=Σ

Wn*Fn+M, where n represents the number of hardware components, Fn represents a hardware coefficient of the n^th hardware component, Wn represents a weight of the n^th hardware component, and M represents a constant.

12. The method of claim 11, wherein the hardware coefficient of the n^th hardware component is computed according to a formula:

Fn=An*Gn+Tn, where Gn represents a utilization rate of the n^th hardware component in the cloud server, and An and Tn represents constants.

13. The method of claim 11, wherein the hardware component is selected from a group consisting of a disk, a memory, a CPU, and a NIC.

14. The method of claim 12, wherein the utilization rate of the n^th hardware component is selected from a group consisting of the disk utilization rate of the cloud server, a memory utilization rate of the cloud server, the CPU utilization rate of the cloud server, and the NIC utilization rate of the cloud server.

15. A non-transitory computer-readable medium having stored thereon instructions that, when executed by a remote computer, the remote computer in communication with cloud servers of a data center, the remote computer storing a monitoring application and a configuration file of a virtual machine, causing the remote computer to perform an installation method, the method comprising:

sending the monitoring application to each cloud server;

obtaining parameters of each cloud server by the monitoring application and determining available cloud servers according to the parameters of each cloud server and the configuration file of the virtual machine, wherein the cloud server is determined as the available cloud server upon the condition that the parameters of the cloud server satisfies requirements in the configuration file of the virtual machine;

calculating an installation coefficient of each available cloud server according to the parameters of the available cloud server; and

installing the virtual machine in the available cloud server according to a maximum installation coefficient.

16. The non-transitory medium of claim 15, wherein the parameters of each cloud server comprises a number of cores of a CPU in the cloud server, a storage capacity of a memory in the cloud server, a storage capacity of a disk in the cloud server, a speed of an interface of the disk in the cloud server, a speed of an interface of a network interface card (NIC) in the cloud server, a disk utilization rate of the cloud server, a memory utilization rate of the cloud server, a CPU utilization rate of the cloud server, and a NIC utilization rate of the cloud server.

17. The non-transitory medium of claim 15, wherein the configuration file of the virtual machine comprises a number of cores of the CPU required for the virtual machine, a storage capacity of the memory required for the virtual machine, a storage capacity of the disk required for the virtual machine, a CPU utilization rate required for the virtual machine, a memory utilization rate required for the virtual machine, and a NIC utilization rate required for the virtual machine.

18. The non-transitory medium of claim 15, wherein the installation coefficient of each available cloud server is computed according to a formula:

V=Σ

Wn*Fn+M, where n represents the number of hardware components, Fn represents a hardware coefficient of the n^th hardware component, Wn represents a weight of the n^th hardware component, and M represents a constant.

19. The non-transitory medium of claim 18, wherein the hardware coefficient of the n^th hardware component is computed according to a formula:

Fn=An*Gn+Tn, where Gn represents a utilization rate of the n^th hardware component in the cloud server, and An and Tn represents constants.

20. The non-transitory medium of claim 19, wherein the utilization rate of the n^th hardware component is selected from a group consisting of the disk utilization rate of the cloud server, a memory utilization rate of the cloud server, the CPU utilization rate of the cloud server, and the NIC utilization rate of the cloud server.