CN102129398A - Resource health assessment method and system in cloud computing operating system - Google Patents
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Abstract
The invention discloses a resource health assessment method and system in a cloud computing operating system, solving the technical problem on assessing the resource health of the cloud computing operating system. The method comprises the following steps of: ordering various resource indexes in the operating system and respectively endowing a certain score to each resource index according to the influence degree of abnormal situation on various resource indexes so as to acquire a resource index abnormality analysis result; assessing scores for various resource index abnormalities according to the properties of various resource indexes and the abnormality analysis results of the corresponding resource indexes to form a stepped first assessment function; converting the first assessment function into a segmented continuous second assessment function; and assessing the health of the operating system resources by utilizing the second assessment function to acquire an assessment result. The invention provides a technical scheme for resource health assessment of the cloud computing operating system and provides a realization base for the functions of resource transfer, energy saving control, and the like.
Description
Technical field
The present invention relates to the cloud computing field, relate in particular to resource health evaluating method and system in a kind of cloud computing operating system medium cloud calculating operation system.
Background technology
Current, industry circulates, charges according to quantity, supports to have reached common recognition on isomery, the many core concepts such as energy-saving and cost-reducing in cloud computing distribution according to need, resource.
Yet in cloud computing IaaS field, the through engineering approaches of cloud computing is still difficult, and relevant IT technician does not find exercisable system architecture and implementation.For this reason, most computers manufacturer, particularly single-set operation system, server, internet manufacturer have proposed a series of cloud computing infrastructure solutions, but also do not have emphasis to relate to this cloud computing infrastructure of cloud computing operating system.
Realize cloud computing operating system, functions such as support resource circulation, Energy Saving Control are at first wanted to assess out the health condition of resource effectively, so that the distribution situation of virtual resource on physical resource made corresponding adjustment.
Summary of the invention
The present invention need provide resource health evaluating technology in a kind of cloud computing operating system, to solve the technical matters of how cloud computing operating system being carried out the resource health evaluating.
In order to solve the problems of the technologies described above, the invention provides resource health evaluating method in a kind of cloud computing operating system, comprising:
According to the influence degree of abnormal case to every resource index in this operating system, this every resource index is sorted and gives certain score value respectively, obtain resource index anomaly analysis result;
Character and this resource index anomaly analysis result according to this every resource index estimate branch unusually to every resource index, form first a stepped valuation functions;
This first valuation functions is converted to piecewise continuous second valuation functions;
Utilize this second valuation functions that the resource of this operating system is carried out health evaluating, obtain assessment result.
Preferably, the step to this every resource index sorts and gives certain score value respectively comprises:
Give physical resource has bigger influence than virtual resource score value.
Preferably, this first valuation functions is converted to the step of this second valuation functions, comprises:
The theoretical interval that this every resource index is unusual is mapped on the corresponding assessment interval, in view of the above this first valuation functions is converted to this second valuation functions.
Preferably, the theoretical interval that this every resource index is unusual is mapped to the step on the corresponding assessment interval, comprising:
Adopt the mode of compressed transform, the theoretical interval that this every resource index is unusual is mapped on the corresponding assessment interval.
Preferably, this assessment result represents whether the resource of this operating system exists unusually, and the intensity of anomaly during this resource exception.
In order to solve the problems of the technologies described above, the present invention also provides resource health evaluation system in a kind of cloud computing operating system, comprising:
The assignment module is used for according to the influence degree of abnormal case to the every resource index of this operating system, and this every resource index is sorted and gives certain score value respectively, obtains resource index anomaly analysis result;
Estimate sub-module, be used for character and this resource index anomaly analysis result, every resource index is estimated branch unusually, form first a stepped valuation functions according to this every resource index;
Modular converter is used for this first valuation functions is converted to piecewise continuous second valuation functions;
Evaluation module is used to utilize this second valuation functions that the resource of this operating system is carried out health evaluating, obtains assessment result.
Preferably, this assignment module is used to give physical resource has bigger influence than virtual resource score value.
Preferably, this modular converter is used for the theoretical interval that this every resource index is unusual and is mapped to corresponding assessment interval, in view of the above this first valuation functions is converted to this second valuation functions.
Preferably, this modular converter is used to adopt the mode of compressed transform, and the theoretical interval that this every resource index is unusual is mapped on the corresponding assessment interval.
Preferably, resulting this assessment result of this evaluation module represents whether the resource of this operating system exists unusually, and the intensity of anomaly during this resource exception.
Compared with prior art, the present invention provides the estimation technical scheme of resource health for cloud computing operating system, realizes the basis for functions such as resource circulation, Energy Saving Control provide, and has bigger practical value and application prospect.
Other features and advantages of the present invention will be set forth in the following description, and, partly from instructions, become apparent, perhaps understand by implementing the present invention.Purpose of the present invention and other advantages can realize and obtain by specifically noted structure in instructions, claims and accompanying drawing.
Description of drawings
Accompanying drawing is used to provide the further understanding to technical solution of the present invention, and constitutes the part of instructions, is used from embodiments of the invention one and explains technical scheme of the present invention, does not constitute the restriction to technical solution of the present invention.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of resource health evaluating method embodiment of the present invention;
Fig. 2 is the synoptic diagram of compressed transform that the present invention adopts;
Fig. 3 is index of the present invention health value ladder variation synoptic diagram between different indexs when unusual;
Fig. 4 for index of the present invention when unusual between different indexs the health value segmentation change synoptic diagram continuously;
Fig. 5 is the composition synoptic diagram of resource health evaluation system embodiment of the present invention.
Embodiment
Describe embodiments of the present invention in detail below with reference to drawings and Examples, how the application technology means solve technical matters to the present invention whereby, and the implementation procedure of reaching technique effect can fully understand and implements according to this.
At first, if do not conflict, the mutually combining of each feature among the embodiment of the invention and the embodiment is all within protection scope of the present invention.In addition, can in computer system, carry out in the step shown in the process flow diagram of accompanying drawing such as a set of computer-executable instructions, and, though there is shown logical order in flow process, but in some cases, can carry out step shown or that describe with the order that is different from herein.
Resource health evaluating method in embodiment one, the cloud computing operating system
Fig. 1 is the schematic flow sheet of resource health evaluating method embodiment in the cloud computing operating system of the present invention.As shown in Figure 1, present embodiment mainly comprises the steps:
Step S110, sorts and gives certain score value respectively every resource index every resource index influence degree of (comprising various physical resources and various virtual resources) according to abnormal case, obtains resource index anomaly analysis result; The resource index ranking results that obtains such as present embodiment is followed successively by the virtual degree of internal memory, the virtual degree of CPU, network virtual degree, cpu busy percentage, memory usage, network utilization; In addition, originally be that the score value that electric voltage exception is given in the strength is-1000 minutes, the unusual score value of giving of the virtual degree of internal memory is-6 minutes, and the unusual score value of giving of the virtual degree of CPU is-5 minutes, the unusual score value of giving of network utilization is-1 minute, and these resource indexs are no abnormal then to be 0 and to grade;
Because electric voltage exception, temperature anomaly or fan wait the unusual of hardware device unusually, it is unusual all to belong to physical resource, this class will directly cause physical resource normally not use unusually, this will make fundamentally that operating system is difficult to normal operation, therefore can qualitatively various physical resources be given score value (each the above-mentioned score value that has bigger influence than virtual resource, symbol "-" expression negative effect, thereafter numerical value is represented influence degree as 1000 grades), such as present embodiment electric voltage exception is estimated and to be divided into-1000 fens, being divided into-5 fens and the virtual degree of internal memory estimated to be divided into-6 fens and the virtual degree of CPU estimated unusually unusually, promptly is the embodiment of this thought;
Step S120, character and resource index anomaly analysis result according to every resource index estimate branch unusually roughly to every resource index, form stair-stepping first valuation functions;
Step S130, the theoretical interval that every resource index is unusual is mapped to corresponding assessment interval upward (realizing this mapping such as the mode by compressed transform), in view of the above above-mentioned stair-stepping first valuation functions is converted to piecewise continuous second valuation functions;
As shown in Figure 2, the theoretical interval of network virtual degree, the virtual degree of CPU and the virtual degree of internal memory is [0, ∞), by the mode of compressed transform, with the network virtual degree be mapped to second valuation functions (5 ,-4] assessment interval on, the virtual degree of CPU is mapped to (6 of second valuation functions,-5] assessment interval on, with the virtual degree of internal memory be mapped to second valuation functions (7 ,-6] assessment interval on; So, the multidimensional evaluation index that influences resource health in the operating system is converted into by interval this one dimension evaluation index of this second valuation functions that constitutes of some assessments;
First valuation functions is converted to after second valuation functions, and at same resource index, health problem in various degree can reflect by different values, can reflect the influence of the health degree of resource index to system more exactly;
Step S140 utilizes this second valuation functions that the resource of operating system is carried out health evaluating, obtains an assessment result; In the present embodiment, can obtain a resource health value, this resource health value has represented not only whether resource exists unusually, but also the intensity of anomaly when having represented resource exception;
Wherein, can be with to the resource health value of the resource index of health effect maximum final health value as operating-system resources; As the virtual degree desired value of CPU is-5.2, and the virtual degree desired value of internal memory is-6.5, and the network utilization desired value is-1.0, and other index is normal, and then the health evaluating value to this physical machine is-6.5.
The above embodiment of the present invention finds the obvious boundary line (promptly the resource index being carried out qualitative analysis) of the unhealthful degree of index by multinomial resource index is carried out qualitative evaluation, thereby forms first valuation functions of a resource index.Generally speaking, do not allow assessment interval crossing, if think two kinds of indexs under certain value condition, its influence that system health situation is caused is the same, and then two kinds of indexs exist intersection point, specifically can be decided in its sole discretion by the user.
The virtual resource number of the virtual degree unit of the being meant physical resource upper support mentioned of this patent wherein is the total check figure of virtual cpu on the physical machine and the ratio of the total check figure of physical cpu as the virtual degree of CPU.
In a practical application of the present invention, consider in all resource items of computing machine, the place of the most easily ging wrong when internal memory is program run, catastrophic often when internal memory goes wrong; On the other hand, the operation of virtual machine must guarantee to have on the physical machine enough internal memories to use, so is as most important index in the resource index item in this practical application with the virtual degree of internal memory.Secondly, CPU is virtual to spend the counting yield that height can have a strong impact on virtual machine, and network virtual is spent and high can be influenced network service efficient, in general, calculate than the even more important and core of communication, so the importance of virtual this index of degree of CPU to be higher than the network virtual degree.Then, be the current utilization factor of internal memory, the current utilization factor of CPU and the current utilization factor of network successively.
Based on above-mentioned qualitative analysis, the health of each resource index of physical machine is carried out ladder marking, concrete marking is:
The virtual degree of internal memory (X1) normally is 0 (value that the X1 correspondence is set is Y1) for-6 unusually;
The virtual degree of CPU (X2) normally is 0 (value that the X2 correspondence is set is Y2) for-5 unusually;
Network virtual degree (X3) normally is 0 (value that the X3 correspondence is set is Y3) for-4 unusually;
Memory usage (X4) normally is 0 (value that the X4 correspondence is set is Y4) for-3 unusually;
Cpu busy percentage (X5) normally is 0 (value that the X5 correspondence is set is Y5) for-2 unusually;
Network utilization (X6) normally is 0 (value that the X6 correspondence is set is Y6) for-1 unusually.
At last the first valuation functions T of Xing Chenging (X1, X2, X3, X4, X5, X6) curve as shown in Figure 3, its function expression can be expressed as:
T (X1, X2, X3, X4, X5, X6)=and min{Y1, Y2, Y3, Y4, Y5, Y6} formula (1)
The above-mentioned first valuation functions T is converted to second valuation functions of piecewise continuity.
A kind of conversion method wherein can adopt expression formula as follows (2) to carry out:
Wherein, index Xi [Xi0, expression is normal on interval Xi1);
First valuation functions according to expression formula (1) gained is converted to second valuation functions as shown in Figure 4, and its function expression can be expressed as:
T′(X1，X2，X3，X4，X5，X6)
=min{Y1-1+e
-w (X1, X10, X11), Y2-1+e
-w (X2, X20, X21), Y3-1+e
-w (X3, X30, X31), formula (3)
Y4-1+e
-w(X4，X40，X41)，Y5-1+e
-w(X5，X50，X51)，Y6-1+e
-w(X6，X60，X61)}
Resource health evaluation system in embodiment two, the cloud computing operating system
Fig. 5 is the composition synoptic diagram of resource health evaluation system embodiment in the cloud computing operating system of the present invention.In conjunction with method embodiment shown in Figure 1, as shown in Figure 5 present embodiment mainly comprise assignment module 510, estimate sub-module 520, modular converter 530 and evaluation module 540, wherein:
Wherein, this assignment module 510 is used to give physical resource has bigger influence than virtual resource score value.
Wherein, this modular converter 530 is used for the theoretical interval that this every resource index is unusual and is mapped to corresponding assessment interval, in view of the above this first valuation functions is converted to this second valuation functions.
Wherein, this modular converter 530 is used to adopt the mode of compressed transform, and the theoretical interval that this every resource index is unusual is mapped on the corresponding assessment interval.
Wherein, these evaluation module 540 resulting these assessment results represent whether the resource of this operating system exists unusually, and the intensity of anomaly during this resource exception.
Technical scheme provided by the invention, according to resource exception the influence degree of system's operation is marked to the resource index, in the piecewise interval that same index takies, score with the continuous function form again, with the standard of score value as assessment resource holistic health degree.
Those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with the general calculation device, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation element forms, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the memory storage and carry out by calculation element, perhaps they are made into each integrated circuit modules respectively, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.
Though the disclosed embodiment of the present invention 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 in any the technical field of the invention; under the prerequisite that does not break away from the disclosed spirit and scope of the present invention; 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 (10)
1. resource health evaluating method in the cloud computing operating system comprises:
According to the influence degree of abnormal case to every resource index in this operating system, this every resource index is sorted and gives certain score value respectively, obtain resource index anomaly analysis result;
Character and this resource index anomaly analysis result according to this every resource index estimate branch unusually to every resource index, form first a stepped valuation functions;
This first valuation functions is converted to piecewise continuous second valuation functions;
Utilize this second valuation functions that the resource of this operating system is carried out health evaluating, obtain assessment result.
2. method according to claim 1, wherein, the step to this every resource index sorts and gives certain score value respectively comprises:
Give physical resource has bigger influence than virtual resource score value.
3. method according to claim 1 wherein, is converted to the step of this second valuation functions with this first valuation functions, comprising:
The theoretical interval that this every resource index is unusual is mapped on the corresponding assessment interval, in view of the above this first valuation functions is converted to this second valuation functions.
4. method according to claim 3, wherein, the theoretical interval that this every resource index is unusual is mapped to the step on the corresponding assessment interval, comprising:
Adopt the mode of compressed transform, the theoretical interval that this every resource index is unusual is mapped on the corresponding assessment interval.
5. method according to claim 1, wherein:
This assessment result represents whether the resource of this operating system exists unusually, and the intensity of anomaly during this resource exception.
6. resource health evaluation system in the cloud computing operating system comprises:
The assignment module is used for according to the influence degree of abnormal case to the every resource index of this operating system, and this every resource index is sorted and gives certain score value respectively, obtains resource index anomaly analysis result;
Estimate sub-module, be used for character and this resource index anomaly analysis result, every resource index is estimated branch unusually, form first a stepped valuation functions according to this every resource index;
Modular converter is used for this first valuation functions is converted to piecewise continuous second valuation functions;
Evaluation module is used to utilize this second valuation functions that the resource of this operating system is carried out health evaluating, obtains assessment result.
7. system according to claim 6, wherein:
This assignment module is used to give physical resource has bigger influence than virtual resource score value.
8. system according to claim 6, wherein:
This modular converter is used for the theoretical interval that this every resource index is unusual and is mapped to corresponding assessment interval, in view of the above this first valuation functions is converted to this second valuation functions.
9. system according to claim 8, wherein:
This modular converter is used to adopt the mode of compressed transform, and the theoretical interval that this every resource index is unusual is mapped on the corresponding assessment interval.
10. system according to claim 6, wherein:
Resulting this assessment result of this evaluation module represents whether the resource of this operating system exists unusually, and the intensity of anomaly during this resource exception.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102854968A (en) * | 2012-05-04 | 2013-01-02 | 北京邮电大学 | Real-time energy consumption metering method of virtual machine |
| CN103139007A (en) * | 2011-12-05 | 2013-06-05 | 阿里巴巴集团控股有限公司 | Method and system for detecting application server performance |
| CN103164279A (en) * | 2011-12-13 | 2013-06-19 | 中国电信股份有限公司 | Method and system for distributing cloud computing resources |
| CN105808415A (en) * | 2016-03-09 | 2016-07-27 | 广东三盟信息科技有限公司 | Service running state evaluation method and device based on cloud computing environment |
| CN106603299A (en) * | 2016-12-28 | 2017-04-26 | 北京奇艺世纪科技有限公司 | Service health index generation method and service health index generation device |
| CN108009077A (en) * | 2017-11-30 | 2018-05-08 | 三盟科技股份有限公司 | A kind of service operation status assessment algorithm and system based on big data environment |
| CN112019382A (en) * | 2020-08-20 | 2020-12-01 | 苏州浪潮智能科技有限公司 | Health assessment method, system and device of cloud computing management platform |
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2011
- 2011-02-25 CN CN2011100457954A patent/CN102129398A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103139007A (en) * | 2011-12-05 | 2013-06-05 | 阿里巴巴集团控股有限公司 | Method and system for detecting application server performance |
| CN103164279A (en) * | 2011-12-13 | 2013-06-19 | 中国电信股份有限公司 | Method and system for distributing cloud computing resources |
| CN103164279B (en) * | 2011-12-13 | 2016-05-04 | 中国电信股份有限公司 | Cloud computing resources distribution method and system |
| CN102854968A (en) * | 2012-05-04 | 2013-01-02 | 北京邮电大学 | Real-time energy consumption metering method of virtual machine |
| CN102854968B (en) * | 2012-05-04 | 2015-04-08 | 北京邮电大学 | Real-time energy consumption metering method of virtual machine |
| CN105808415A (en) * | 2016-03-09 | 2016-07-27 | 广东三盟信息科技有限公司 | Service running state evaluation method and device based on cloud computing environment |
| CN106603299A (en) * | 2016-12-28 | 2017-04-26 | 北京奇艺世纪科技有限公司 | Service health index generation method and service health index generation device |
| CN108009077A (en) * | 2017-11-30 | 2018-05-08 | 三盟科技股份有限公司 | A kind of service operation status assessment algorithm and system based on big data environment |
| CN112019382A (en) * | 2020-08-20 | 2020-12-01 | 苏州浪潮智能科技有限公司 | Health assessment method, system and device of cloud computing management platform |
| CN112019382B (en) * | 2020-08-20 | 2022-06-03 | 苏州浪潮智能科技有限公司 | Health assessment method, system and device of cloud computing management platform |
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Application publication date: 20110720 |