CN102831016A - Physical machine recycle method of cloud computing and device thereof - Google Patents

Physical machine recycle method of cloud computing and device thereof Download PDF

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Publication number
CN102831016A
CN102831016A CN2012102721373A CN201210272137A CN102831016A CN 102831016 A CN102831016 A CN 102831016A CN 2012102721373 A CN2012102721373 A CN 2012102721373A CN 201210272137 A CN201210272137 A CN 201210272137A CN 102831016 A CN102831016 A CN 102831016A
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physical machine
cloud computing
performance
hardware performance
idle
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CN102831016B (en
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刘成平
刘正伟
张东
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Inspur Beijing Electronic Information Industry Co Ltd
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Inspur Beijing Electronic Information Industry Co Ltd
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Abstract

The invention discloses a physical machine recycle method of a cloud computing and a device thereof, which can ensure the entire properties of a physical machine in a cloud computing condition to a greatest extent. The physical machine recycle method comprises the following steps of: A, carrying out level ordering on hardware properties of an idle physical machine in the cloud computing condition; and B, switching off the physical machine according to an order of the hardware properties from low to high according to a level ordering result, so that the physical machine which is not switched off ensures the processing request of low load. The device comprises a level ordering unit and an equipment management unit; the level ordering unit is used for carrying out the level ordering on the hardware properties of the idle physical machine in the cloud computing condition; and the equipment management unit is used for switching off the physical machine according to the order of the hardware properties from low to high according to the level ordering result, so that the physical machine which is not switched off ensures the processing request of low load. With the adoption of the physical machine recycle method of the cloud computing and the device thereof provided by the invention, the purposes of saving resources and reducing maintenance cost can be realized.

Description

A kind of physical machine recovery method and device thereof of cloud computing
Technical field
The present invention relates to the cloud computing field, be specifically related to a kind of physical machine recovery method and device thereof of cloud computing.
Background technology
The development of current cloud computing just launches in increasing industry with application; Task quantity in the execution of the environment of cloud computing also is more and more; Therefore the physical equipment quantity of management also is more and more huger under the cloud computing environment, and the cost of maintenance also is to increase along with the development of cloud environment.
Data how under cloud computing environment, to accomplish physical equipment accurately, timely reclaims; Reduce the maintenance cost of cloud computing environment, the hardware platform needs that will satisfy each item business under the cloud computing environment have simultaneously also just become the key issue of physical equipment management under the cloud environment.
As shown in Figure 1; The scheme of current computer manufacturer, service equipment under cloud computing environment adopts power-off operation to the physical equipment under the idle condition; But there is randomness in said power-off operation, and physical equipment that so just might configuration is lower is as the primary computing machine that distributes load.Cause system performance to reduce easily, even problem such as service disconnection.
Summary of the invention
In order to ensure the overall performance of physical machine under the cloud computing environment to the full extent; And realize the purpose of resources conservation, cost savings; The each item that does not influence simultaneously operation under the cloud computing environment is professional, and the present invention proposes a kind of physical machine recovery method and device thereof of cloud computing.
In order to solve the problems of the technologies described above, the invention provides a kind of physical machine recovery method of cloud computing, comprise
A, to cloud computing environment down the hardware performance of idle physical machine carry out ranking compositor;
B, according to the result of ranking compositor, to high order physical machine is carried out power-off operation by low according to hardware performance, make the physical machine of not shutdown guarantee the processing requirements of low load.
Further, said hardware performance comprises cpu performance, internal memory performance and hard disk performance.
Further, also take standby to handle among the step B to remaining physical machine.
Further, the mode of registering ordering in the steps A is:
The hardware performance of idle physical machine is quantized, sort according to the hardware performance of the numerical value height after quantizing to idle physical machine.
In order to solve the problems of the technologies described above, the present invention also provides a kind of physical machine retracting device of cloud computing, comprises ranking compositor unit and device management unit,
Said ranking compositor unit is used for the hardware performance of physical machine idle under the cloud computing environment is carried out ranking compositor;
Said device management unit is used for the result according to ranking compositor, to high order physical machine is carried out power-off operation by low according to hardware performance, makes the physical machine of not shutdown guarantee to hang down the processing requirements of load.
Preferably, said device management unit also is used for taking standby to handle to remaining physical machine.
Preferably, said ranking compositor unit comprises quantization modules and comparison module,
Said quantization modules is used for the hardware performance of idle physical machine is quantized;
The numerical value that said comparison module is used for obtaining according to quantization modules sorts to the hardware performance of idle physical machine.
Compared with prior art, the present invention has reached the purpose that economizes on resources and reduce maintenance cost, during the closed portion physical machine, guarantees the whole processing power of physical machine under the cloud computing environment to the full extent.Through closing the low physical machine of performance; Guarantee that the high physical machine of performance is in holding state; So that tackle load rise and the situation that shifts the calculation task of coming under the cloud computing environment at any time; Avoid the randomness of the idle physical machine of closed portion when load is low, and made cloud computing more economized, hommization in the management of physical machine, avoided the waste of resource, the waste of the energy.
Description of drawings
Fig. 1 is that slack resources reclaims synoptic diagram under the traditional cloud environment; Fig. 2 is the structural representation of physical machine retracting device of the cloud computing of the embodiment of the invention; Fig. 3 is that slack resources reclaims synoptic diagram under the cloud environment of the embodiment of the invention.
Embodiment
For making the object of the invention, technical scheme and advantage clearer, hereinafter will combine accompanying drawing that embodiments of the invention are elaborated.Need to prove that under the situation of not conflicting, embodiment among the application and the characteristic among the embodiment be combination in any each other.
In conjunction with Fig. 2 and Fig. 3 embodiments of the invention are described; The physical machine retracting device of the cloud computing of the embodiment of the invention; Ranking compositor unit 1 and device management unit 2, said ranking compositor unit 1 are used for the hardware performance of physical machine idle under the cloud computing environment is carried out ranking compositor; Said device management unit 2 is used for the result according to ranking compositor, makes performance high physical machine be in holding state by low to the low physical machine of high orderly close-down performance according to hardware performance, makes the physical machine of not shutdown guarantee to hang down the processing requirements of load.
Wherein ranking compositor unit 1 further comprises quantization modules 11 and comparison module 12; At first the hardware performance by 11 pairs of idle physical machine of quantization modules quantizes, and is sorted according to the hardware performance of the numerical value height after quantizing to idle physical machine by comparison module 12 then.The physical machine recovery method of the cloud computing of the embodiment of the invention, related procedure comprises:
A, to cloud computing environment down the hardware performance of idle physical machine carry out ranking compositor;
B, according to the result of ranking compositor, to high order physical machine is carried out power-off operation by low according to hardware performance, make the physical machine of not shutdown guarantee the processing requirements of low load.
Wherein hardware performance comprises cpu performance, internal memory performance and hard disk performance.
Idle physical machine was carried out ranking compositor when the physical machine recovery method of the cloud computing of the embodiment of the invention hanged down load under the cloud computing environment; The mode that employing quantizes the hardware performance of idle physical machine; Numerical value according to after the integral body quantification of hardware performance is divided into category-A, category-B and C class to idle physical machine; Wherein category-A is high performance physical machine, and the C class is the physical machine of low performance, and category-B is a performance physical machine placed in the middle.
When physical machine idle under the cloud computing environment is carried out power-off operation; According to the classification situation of physical machine, optionally shut down, under the situation that category-A, category-B, C class all have; Preferentially close C class physical machine; Next is the category-B physical machine, is part A class physical machine at last, makes the physical machine of not shutdown guarantee whole processing power.So just can guarantee under the situation that arrival economizes on resources, farthest to ensure hardware performance under the cloud environment.
Embodiment
As shown in Figure 3, descend cpu performance, internal memory performance and the hard disk performance of idle physical machine to quantize to cloud computing environment, quantized values is up to 100; Wherein cpu performance accounts for 60%, and internal memory performance accounts for 20%, and hard disk performance accounts for 20%; For the cpu performance of each idle physical machine, the quantized values of total interior check figure more than 16 nuclears is 60, is 50 at 8 nuclears with the quantized values between 16 nuclears; Is that the following quantized values of 40,2 nuclears is 20 at 4 nuclears with the quantized values between 8 nuclears.For the internal memory performance of each idle physical machine, the above quantized values of 32G is 20, and 16G is 15 to the quantized values between the 32G, and the quantized values below the 8G is 10.For the hard disk performance of each idle physical machine, the above quantized values of capacity 6T is 20, and the quantized values below the 2T is 10.Quantification summation according to said three kinds of hardware performances is a standard, and idle physical machine is carried out ranking compositor, is being classified as the category-A physical machine to the quantification summation more than 85, and 60 assign to and are classified as the category-B physical machine between 85 minutes, and below 60 minutes is C class physical machine.
Category-A physical machine performance is remarkable, and operation conditions is good, like the equipment among Fig. 36, equipment 8; C class physical machine, performance is low, like the equipment among Fig. 33, equipment 9; Remaining is the category-B physical machine.
Load is low under the negative environment because of cloud computing, when needing the closed portion physical machine, according to the result of ranking compositor; Preferentially close C class physical machine; Next is the category-B physical machine, the category-A physical machine that retention property is remarkable, the load task sharing the when pressure load that prevents cloud computing increases; On the basis that effectively economizes on resources, reach the purpose of optimizing whole cloud computing environment.
Though the embodiment that the present invention disclosed as above, the embodiment that described content just adopts for the ease of understanding the present invention is not in order to limit the present invention.Technician under any the present invention in the technical field; Under the prerequisite of spirit that does not break away from the present invention and disclosed and scope; Can do any modification and variation what implement in form and on the details; But scope of patent protection of the present invention still must be as the criterion with the scope that appending claims was defined.

Claims (7)

1. the physical machine recovery method of a cloud computing is characterized in that, comprises
A, to cloud computing environment down the hardware performance of idle physical machine carry out ranking compositor;
B, according to the result of ranking compositor, to high order physical machine is carried out power-off operation by low according to hardware performance, make the physical machine of not shutdown guarantee the processing requirements of low load.
2. recovery method according to claim 1 is characterized in that said hardware performance comprises cpu performance, internal memory performance and hard disk performance.
3. recovery method according to claim 1 is characterized in that, also takes standby to handle to remaining physical machine among the step B.
4. storer according to claim 1 is characterized in that, the mode of registering ordering in the steps A is:
The hardware performance of idle physical machine is quantized, sort according to the hardware performance of the numerical value height after quantizing to idle physical machine.
5. the physical machine retracting device of a cloud computing is characterized in that, said retracting device comprises ranking compositor unit (1) and device management unit (2),
Said ranking compositor unit (1) is used for the hardware performance of physical machine idle under the cloud computing environment is carried out ranking compositor;
Said device management unit (2) is used for the result according to ranking compositor, to high order physical machine is carried out power-off operation by low according to hardware performance, makes the physical machine of not shutdown guarantee to hang down the processing requirements of load.
6. retracting device according to claim 5 is characterized in that, said device management unit (2) also is used for taking standby to handle to remaining physical machine.
7. retracting device according to claim 5 is characterized in that, said ranking compositor unit (1) comprises quantization modules (11) and comparison module (12),
Said quantization modules (11) is used for the hardware performance of idle physical machine is quantized;
The numerical value that said comparison module (12) is used for obtaining according to quantization modules (11) sorts to the hardware performance of idle physical machine.
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Publication number Priority date Publication date Assignee Title
CN103095506A (en) * 2013-02-06 2013-05-08 浪潮电子信息产业股份有限公司 Resource adjusting method based on equipment health state under cloud environment
CN103577937A (en) * 2013-11-15 2014-02-12 浪潮(北京)电子信息产业有限公司 Method and system for managing recourses in cloud computing system
CN109246737A (en) * 2018-09-07 2019-01-18 广州微算互联信息技术有限公司 cloud mobile phone automatic recovery method and system
CN109669774A (en) * 2018-11-14 2019-04-23 新华三技术有限公司成都分公司 Quantization method, method of combination, device and the network equipment of hardware resource
WO2022001295A1 (en) * 2020-06-30 2022-01-06 中兴通讯股份有限公司 Cloud environment management method, cloud environment management platform, and storage medium

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CN102306205A (en) * 2011-09-30 2012-01-04 苏州大学 Method and device for allocating transactions
CN102360310A (en) * 2011-09-28 2012-02-22 中国电子科技集团公司第二十八研究所 Multitask process monitoring method and system in distributed system environment

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CN101727351A (en) * 2009-12-14 2010-06-09 北京航空航天大学 Multicore platform-orientated asymmetrical dispatcher for monitor of virtual machine and dispatching method thereof
US20110296411A1 (en) * 2010-05-25 2011-12-01 Transoft Kernel Bus System to Build Virtual Machine Monitor and the Performance Service Framework and Method Therefor
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103095506A (en) * 2013-02-06 2013-05-08 浪潮电子信息产业股份有限公司 Resource adjusting method based on equipment health state under cloud environment
CN103577937A (en) * 2013-11-15 2014-02-12 浪潮(北京)电子信息产业有限公司 Method and system for managing recourses in cloud computing system
CN109246737A (en) * 2018-09-07 2019-01-18 广州微算互联信息技术有限公司 cloud mobile phone automatic recovery method and system
CN109246737B (en) * 2018-09-07 2019-07-09 广州微算互联信息技术有限公司 Cloud mobile phone automatic recovery method and system
CN109669774A (en) * 2018-11-14 2019-04-23 新华三技术有限公司成都分公司 Quantization method, method of combination, device and the network equipment of hardware resource
CN109669774B (en) * 2018-11-14 2020-12-08 新华三技术有限公司成都分公司 Hardware resource quantification method, hardware resource arrangement method, hardware resource quantification device and hardware resource arrangement device and network equipment
WO2022001295A1 (en) * 2020-06-30 2022-01-06 中兴通讯股份有限公司 Cloud environment management method, cloud environment management platform, and storage medium

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