SYSTEM AND METHOD FOR TRANSFERRING GUEST OPERATING SYSTEM

• US 20130103838A1
• Filed: 09/29/2012
• Published: 04/25/2013
• Est. Priority Date: 10/19/2011
• 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: Guang-Jian Wang, Meng-Zhou Liu, Wen-Wu Wu, Xiao-Jun Fu
• Inventors: Liu, Meng-Zhou, Fu, Xiao-Jun, Wang, Guang-Jian, Wu, Wen-Wu
• Application Number:
  US13/631,883
• Publication Number:
  US 20130103838A1
• Time in Patent Office: Days
• US Class Current: 709/226
• CPC Class Codes: G06F 2209/5019 Workload prediction
• CPC Class Codes: G06F 9/5088 involving task migration

Abstract

A method for transferring one or more guest operating system (OS) using a remote server. The remote server periodically obtains a central processing unit (CPU) utilization ratio of each guest OS installed in each cloud server of the data center. The remote server counts the number of times of obtaining the CPU utilization ratio, and calculates a predicted average of the CPU utilization ratio for each cloud server if the counted number of the times is equal to a predetermined number. The remote server transfers one or more guest OS from the cloud server to other cloud servers before a predetermined time, in response to a determination that the predicted average of the CPU utilization ratio of the cloud server is greater than a predetermined average.

Claims

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

a storage system;

at least one processor; and

one or more programs stored in the storage system and being executable by the at least one processor, the one or more programs comprising;

an obtaining module periodically obtains a central processing unit (CPU) utilization ratio of each guest operating system (OS) installed in each cloud server of the data center;

a counting module counts the number of times of obtaining the CPU utilization ratio;

a calculation module calculates a predicted average of the CPU utilization ratio for each cloud server if the counted number of the times is equal to a predetermined number; and

a transferring module transfers one or more guest OS from the cloud server to other cloud servers before a predetermined time, in response to a determination that the predicted average of the CPU utilization ratio of the cloud server is greater than a predetermined average.

2. The remote server of claim 1, wherein the counting module increases the number of the times of obtaining the CPU utilization ratio by one after every time the CPU utilization ratio is obtained.

3. The remote server of claim 1, wherein the predicted average of the CPU utilization ratio of the cloud server is equal to a summation of the average of the obtained CPU utilization ratio of each guest OS installed in the cloud server.

4. The remote server of claim 1, wherein the obtaining module obtains the CPU utilization ratio of each guest OS installed in the cloud server from a virtual machine management application installed in the cloud server.

5. The remote server of claim 4, wherein the transferring module transfers the one or more guest OS using the virtual machine management application.

6. A computer-based guest OS transferring method being performed by execution of computer readable program code by a processor of a remote server, the remote server in electronic communication with a plurality of cloud servers of a data center, the method comprising:

obtaining periodically a central processing unit (CPU) utilization ratio of each guest OS installed in each cloud server of the data center;

counting the number of times of obtaining the CPU utilization ratio;

calculating a predicted average of the CPU utilization ratio for each cloud server if the counted number of the times is equal to a predetermined number; and

transferring one or more guest OS from the cloud server to other cloud servers before a predetermined time, in response to a determination that the predicted average of the CPU utilization ratio of the cloud server is greater than a predetermined average.

7. The method of claim 6, wherein the number of the times of obtaining the CPU utilization ratio increases by one after every time the CPU utilization ratio is obtained.

8. The method of claim 6, wherein the predicted average of the CPU utilization ratio of the cloud server is equal to a summation of the average of the obtained CPU utilization ratio of each guest OS installed in the cloud server.

9. The method of claim 6, wherein the CPU utilization ratio of each guest OS installed in the cloud server is obtained from a virtual machine management application installed in the cloud server.

10. The method of claim 9, wherein the one or more guest OS is transferred using the virtual machine management application.

11. A non-transitory computer-readable medium having stored thereon instructions that, when executed by a remote server, causing the remote server to perform a guest OS transferring method, the remote server in electronic communication with a plurality of cloud servers of a data center, the method comprising:

obtaining periodically a central processing unit (CPU) utilization ratio of each guest OS installed in each cloud server of the data center;

counting the number of times of obtaining the CPU utilization ratio;

calculating a predicted average of the CPU utilization ratio for each cloud server if the counted number of the times is equal to a predetermined number; and

transferring one or more guest OS from the cloud server to other cloud servers before a predetermined time, in response to a determination that the predicted average of the CPU utilization ratio of the cloud server is greater than a predetermined average.

12. The non-transitory medium of claim 11, wherein the number of the times of obtaining the CPU utilization ratio increases by one after every time the CPU utilization ratio is obtained.

13. The non-transitory medium of claim 11, wherein the predicted average of the CPU utilization ratio of the cloud server is equal to a summation of the average of the obtained CPU utilization ratio of each guest OS installed in the cloud server.

14. The non-transitory medium of claim 11, wherein the CPU utilization ratio of each guest OS installed in the cloud server is obtained from a virtual machine management application installed in the cloud server.

15. The non-transitory medium of claim 14, wherein the one or more guest OS is transferred using the virtual machine management application.