CN108228412A - A kind of method and device based on system health degree faults of monitoring system and hidden danger - Google Patents
A kind of method and device based on system health degree faults of monitoring system and hidden danger Download PDFInfo
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- G—PHYSICS
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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Abstract
The present invention relates to a kind of method and devices based on system health degree faults of monitoring system and hidden danger,The business scope of analyzing influence system health degree first,It is directed to Network Situation again,Security postures,Computing resource,Choose corresponding impact factor in each business scope such as storage resource,The selection of business scope can be determined according to the actual needs of system health degree,Each factor of various functional areas is compared two-by-two on this basis,Form judgment matrix,And calculate the Maximum characteristic root and maximal eigenvector of judgment matrix,And weighing factor of the maximal eigenvector obtained as each factor pair business scope health degree will be calculated,So as to build the corresponding health degree evaluation model in various functional areas,The final monitoring model for constructing system health degree,Pass through real-time monitoring system health degree,And the classification of system health degree size can be formed effectively in macroscopical service layer,Intuitive advance evaluation and Forecasting Methodology,Find the failure and hidden danger of system in time convenient for operation maintenance personnel,Ensure that business application system continues normal operation.
Description
Technical field
The present invention relates to information technology fields more particularly to a kind of based on system health degree faults of monitoring system and hidden danger
Method and device.
Background technology
With cloud computing, the rapid development of development of Mobile Internet technology, more and more business application systems are deployed in Yun Huan
In border, various services are provided a user, but most of monitoring system is still based on traditional monitoring agent, network monitoring association at present
Isotype, the operation maintenance personnel monitoring of each professional domain and the alarm event of manual handle magnanimity are discussed, multi-disciplinary O＆M ensures tired
Difficulty, fault warning false rate of false alarm is high, and the efficiency and difficulty for leading to O＆M guarantee increase, macroscopical service layer lack effectively,
Intuitive advance evaluation and Forecasting Methodology.
Most of monitoring depth is larger at present, and the range and evaluation method that monitor be also than relatively limited, as basis is set
Apply the expansion of range, the high concentration of the resources such as network, calculating, storage increases the operation and maintenance intensity of resource, therefore
The operation system monitoring and assessing method of efficient IT O＆Ms monitoring system and science is particularly important, existing appraisement system and
Model tentatively has for Network Situation, security postures, computing resource, storage resource etc. based on professional monitoring parameter
Evaluating ability forms the specialized management system of all types, the angle used from user, monitors application system phase in real time
The guarantee situation of pass, the behaviour in service of all kinds of resources, and comprehensive system health degree index is formed, it is potential convenient for finding in time
The system failure and business service interrupt hidden danger, ensure that business application system continues normal operation and is particularly important.
Invention content
In view of above-mentioned analysis, the present invention is intended to provide a kind of side based on system health degree faults of monitoring system and hidden danger
Method and device, to solve the problem of that existing system failure and hidden danger cannot find that system O＆M lags in time.
The purpose of the present invention is mainly achieved through the following technical solutions：
The present invention provides a kind of method based on system health degree faults of monitoring system and hidden danger, including：
For each technical field, acquire in the technical field on the influential factor of system health degree, according to it is described because
Son is determined on the influential evaluation index of system health degree and opposite evaluation parameter；
According to the field of health degree evaluation to be carried out, the significance level of each evaluation index between any two is defined, is obtained
To significance level judgment matrix；
According to the significance level judgment matrix calculating acquire each evaluation index of the technical field Maximum characteristic root and
Corresponding feature vector, the feature vector value being calculated are normalized weight value；
The normalized weight value of index in each technical field can be calculated by above-mentioned calculating process, and then calculate
Obtain the relevant infrastructure health degree of entire operation system；
When finding that the entire relevant infrastructure health degree of operation system persistently reduces by monitoring, the system failure is sent out
Hidden danger early warning is interrupted with business service.
Further, the method further includes：
The consistency of the significance level judgment matrix is judged according to equation below：
In formula, n is the exponent number of significance level judgment matrix, when completely the same, CI=0；
When inconsistent,RI represents that Aver-age Random Consistency Index, CR represent random consistency ratio CR；
When carrying out consistency checking, if random consistency ratio CR<0.1, then it is assumed that inconsistency can be received,
If CR>0.1, it is believed that inconsistency cannot be received, and need to be adjusted calculating to significance level judgment matrix again.
Further, health degree calculating process specifically includes：
The proportional roles of index in each technical field can be calculated by above-mentioned calculating process, add further according to linear
The health degree index in each field is calculated in power method；Its health in operation system is obtained according to the health degree index in each field
Weight is spent, and then the relevant infrastructure health degree of entire operation system is calculated.
Wherein, the technical field includes at least：
Communication network, calculates storage, security protection, space-time datum at information service.
Whole system health degree=communication network domains health degree weight * communication network domains health degree score+information services domain
Health degree weight * information services domains health degree score+calculating storage domain health degree weight * calculates storage domain health degree score+peace
Full protection domain health degree weight * security protections domain health degree score+space-time datum domain health degree weight * space-time datums domain health degree
Score+...+certain field health degree weight * field health degree scores.
The present invention also provides a kind of device based on system health degree faults of monitoring system and hidden danger, including：
Acquisition module, for being directed to each technical field, acquire in the technical field it is influential on system health degree because
Son is determined according to the factor on the influential evaluation index of system health degree and opposite evaluation parameter；
Judgment matrix module will carry out the field of health degree evaluation for basis, to the weight of each evaluation index between any two
Degree is wanted to be defined, obtains significance level judgment matrix；
Weight computation module, for acquiring the technical field according to significance level judgment matrix calculating, each evaluation refers to
Target Maximum characteristic root and corresponding feature vector, the feature vector value being calculated are normalized weight value；
Health degree computing module, for returning for index in each technical field can be calculated by above-mentioned calculating process
One changes weighted value, and then the relevant infrastructure health degree of entire operation system is calculated；
Monitoring modular, for persistently being reduced when by monitoring the entire relevant infrastructure health degree of operation system of discovery
When, it sends out the system failure and business service interrupts hidden danger early warning.
Further, described device further includes：
Consistency judgment module, for being sentenced according to equation below to the consistency of the significance level judgment matrix
It is disconnected：
In formula, n is the exponent number of significance level judgment matrix, when completely the same, CI=0.
When inconsistent,RI represents that Aver-age Random Consistency Index, CR represent random consistency ratio CR；
When carrying out consistency checking, if random consistency ratio CR<0.1, then it is assumed that inconsistency can be received,
If CR>0.1, it is believed that inconsistency cannot be received, and need to be adjusted calculating to significance level judgment matrix again.
Further, the health degree computing module is specifically used for,
The proportional roles of index in each technical field are calculated by the weight computation module, add further according to linear
The health degree index in each field is calculated in power method；Its health in operation system is obtained according to the health degree index in each field
Weight is spent, and then the relevant infrastructure health degree of entire operation system is calculated.
Wherein, the technical field includes at least：
Communication network, calculates storage, security protection, space-time datum at information service.
Whole system health degree=communication network domains health degree weight * communication network domains health degree score+information services domain
Health degree weight * information services domains health degree score+calculating storage domain health degree weight * calculates storage domain health degree score+peace
Full protection domain health degree weight * security protections domain health degree score+space-time datum domain health degree weight * space-time datums domain health degree
Score+...+certain field health degree weight * field health degree scores.
The present invention has the beneficial effect that：
Since previous system health degree failure and hidden danger are often just found after a certain period of time in event generation, by this hair
Bright, real time computation system health angle value is found all kinds of abnormal conditions of system by the size of system health angle value, reached in time
The purpose of advanced warning.The wherein calculating of system health angle value is each in each field using multi-field healthy angle value COMPREHENSIVE CALCULATING
The weight of the factor uses mathematical model to calculate acquisition after comparing relative importance two-by-two by each factor, is obtained by present invention calculating
The system health degree objectivity obtained is high, accurate and effective, finds the failure and hidden danger of system in time convenient for operation maintenance personnel, ensures business
Application system continues normal operation.
Other features and advantages of the present invention will illustrate in the following description, also, partial become from specification
It obtains it is clear that being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and is obtained in book, claims and attached drawing.
Description of the drawings
Attached drawing is only used for showing the purpose of specific embodiment, and is not considered as limitation of the present invention, in entire attached drawing
In, identical reference mark represents identical component.
Fig. 1 is the flow diagram of the method for the embodiment of the present invention；
Fig. 2 is information service field health degree evaluation judgment matrix in the method for the embodiment of the present invention；
Fig. 3 and Fig. 4 is operation system health degree assessment change curve in the method for the embodiment of the present invention；
Fig. 5 is the structure diagram of described device of the embodiment of the present invention.
Specific embodiment
The preferred embodiment of the present invention is specifically described below in conjunction with the accompanying drawings, wherein, attached drawing forms the application part, and
It is used to illustrate the principle of the present invention together with embodiments of the present invention.
It is described in detail first with reference to 1 to 4 pairs of the methods of the embodiment of the present invention of attached drawing.
As shown in FIG. 1, FIG. 1 is the flow diagrams of the method for the embodiment of the present invention, can specifically include：
Step 101：Parameter is layered
It is acquired in each technical field on the influential evaluation index of system health degree according to operation system feature, in this base
To every field, the factor of unhealthful degree is screened on plinth, and provides the opposite evaluation parameter of each factor, such as the following table 1 institute
Show.Above-mentioned technical field is information technology every field, for example, communication network, calculating storage, information service, space-time datum, peace
Full protection etc..
Table 1
Step 102：Determine judgment matrix
According to the technical field of health degree evaluation to be carried out, the significance level of each evaluation index between any two is determined
Justice obtains the significance level judgment matrix of n*n, such as information service field health degree shown in Fig. 2 evaluation judgment matrix.
For the significance level of evaluation index between any two, such as network field, the discharge rate of disparate networks equipment flows into
Significance level between the parameters such as rate, interface normal rates, equipment normal rates can provide four based on experience value according to the following table 2
Relative importance between a parameter.
The meaning of 2 ratio scale of table
Step 103：Calculate feature vector
After the judgment matrix of acquisition is evaluated two-by-two according to each index, to obtain the normalized weight of these indexs, i.e., from
It is calculated in judgment matrix and acquires its Maximum characteristic root and corresponding feature vector (Maximum characteristic root is used for carrying out consistency check),
The feature vector value being calculated is normalized weight value (weighted value being as calculated), and mathematical derivation equation is not
The emphasis of this paper, therefore not to repeat here, and the computational methods of characteristic root and feature vector can be divided into accurate calculate and approximate calculation two
Kind, common two kinds of approximate calculation methods are and area method and root method.
A, and the calculating process of area method is as follows
If judgment matrix is n ranks matrix A=(aij)n*n, standardized with following formula to matrix A by row, wherein aijFor the i-th element
The opposite significance level with j-th of element is obtained by step 102.
In formula, i, j=1,2,3 ..., n, N are element number, similarly hereinafter.
Judgment matrix after standardization is added with following formula by row.
In formula, i, j=1,2,3 ..., n.
To vectorStandardized with following equation.
W=(the ω being calculated1ω2…ωn)TThe as maximal eigenvector of matrix A.
The approximation λ of the Maximum characteristic root of matrix A is sought according to the following formula using maximal eigenvectormax。
In formula, (AM)iRepresent i-th of element of vector AW.
B, and the calculating process of area method is as follows
Judgment matrix A=(a are calculated with formulaij)n*nThe product M of each row elementi。
In formula, i, j=1,2,3 ..., n.
Calculate MiN times root.
In formula, i=1,2,3 ..., n.
To vectorApproximation W=(the ω of maximal eigenvector are sought with formula standardization1
ω2…ωn)T.And then calculate the approximation λ of Maximum characteristic rootmax。
Step 104：Consistency check
Relative importance between each index compares two-by-two and experience is worth to, may when factor is more
It is inconsistent there is a situation where judging between multiple indexs, but inconsistency can be received in certain range, and consistency is commented
Valency index is exactly that the method for inconsistent degree is judged for investigating.
In formula, n is the exponent number of judgment matrix, when completely the same, CI=0.When inconsistent, general n is bigger, consistency
Also it is poorer, so introducing Aver-age Random Consistency Index RI and random consistency ratio CR.
For Aver-age Random Consistency Index RI according to a large amount of n ranks random statistical judgment matrix A, the maximum that A is calculated is special
Levy the average value λ of rootmax.Customer service consistency check index CI increases and bright with matrix exponent number n to a certain extent for the introducing of RI
The drawbacks of aobvious increase.
When carrying out consistency checking, if random consistency ratio CR<0.1, then it is assumed that inconsistency can be received,
If CR>0.1, it is believed that inconsistency cannot be received, and need again to adjust judgment matrix calculating.
3 Aver-age Random Consistency Index RI of table
| N | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| RI | 0 | 0 | 0.58 | 0.9 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 |
Step 105：Computing system health degree
The proportional roles of index in each field can be calculated (i.e. in step 103 most by above-mentioned calculating process
Big characteristic vector W), the health degree index in each field is calculated further according to weigthed sums approach, by taking communication network field as an example.It is logical
Communication network domain health degree=discharge rate weight * discharge rates score+rate of inflow weight * rate of inflow score+interface normal rates weight *
Interface normal rates score+equipment normal rates weight * equipment normal rates scores.The health degree computational methods class in remaining field
Seemingly, certain field health degree=1 weight * of the field factor 1 score of the field factor+2 weight * of field factor field factor 2
Score+3 weight * of the field factor 3 score of the field factor+...+field factor of n weight * field factor of n scores.
Communication network domains health degree, calculating storage domain health degree, information services domain can be calculated successively according to above formula to be good for
The health degree in the professional domain of Kang Du, space-time datum domain health degree, security protection domain health degree five, then can be according to each professional domain
Service condition in the actual environment reuses the health in operation system that each professional domain is calculated in the above process
Weight is spent, the relevant IT infrastructure health degree of whole system is calculated, while can be designed according to system finally by following formula
Field situation increase corresponding business scope.
Whole system health degree=communication network domains health degree weight * communication network domains health degree score+information services domain
Health degree weight * information services domains health degree score+calculating storage domain health degree weight * calculates storage domain health degree score+peace
Full protection domain health degree weight * security protections domain health degree score+space-time datum domain health degree weight * space-time datums domain health degree
Score+...+certain field health degree weight * field health degree scores.
Program A as operation system needs are run starts N1 thread altogether, N2 network link is occupied, when some thread
When operation exception occurs in operation, the CPU usage of the thread is persistently increased to 80% by 2%, and memory usage is by 5% lasting liter
Up to 50%, the inflow and outflow flow of network interface persistently increases, and so as to which the maximal eigenvector of CPU, memory persistently reduces, flows
The maximal eigenvector for going out rate of inflow persistently reduces, and is calculated using calculating storage domain and communication network domains health degree model
Calculating storage domain health degree persistently reduces, and communication network health degree persistently reduces, and is calculated using system health degree computation model
The operation system health degree arrived reduces, and so as to find the exception of the operation system, sends out early warning, notifies operation maintenance personnel detailed inspection
The state of operation system solves corresponding potential faults.
Method as described above uses and area method has write and calculated maximal eigenvector and random consistency ratio
Program, and based on laboratory environment using analytic hierarchy process (AHP) to the health in operation system in October, 2014 in January, 2015 at two
Degree index has carried out comprehensive assessment, and health degree index is normalized to the value of 0-1, and the system health being calculated writes music line such as
Shown in Fig. 3 and Fig. 4.It can be seen that analytic hierarchy process (AHP) can be distinguished on the whole from the health degree change curve of two operation systems
Go out operation trend of the infrastructure in different time sections, and certain periodical trend can be embodied.
Using health degree assessment models, periodical with data acquisition carries out, and the healthy angle value dynamic of operation system becomes
Change, on the one hand health degree threshold value can be set according to the practical application of operation system, more than certain threshold value when can carry out alarm and carry
Show and send mail automatically, the working efficiency that short message is monitored to operation management personnel, raising O＆M, in real time, dynamically grasp business
On the other hand the operating condition of system can utilize time series analysis side according to the health degree change curve in the regular period
Method can carry out the health degree of future services system forecast analysis, and the operating status of sensed in advance infrastructure is stablized for business
Efficient operation, which provides, to be ensured early period.
Next described device of the embodiment of the present invention is described in detail with reference to attached drawing 5.
As shown in figure 5, Fig. 5 is the structure diagram of described device of the embodiment of the present invention, can specifically include：
Acquisition module, for being directed to each technical field, acquire in the technical field it is influential on system health degree because
Son is determined according to the factor on the influential evaluation index of system health degree and opposite evaluation parameter；
Judgment matrix module will carry out the field of health degree evaluation for basis, to the weight of each evaluation index between any two
Degree is wanted to be defined, obtains significance level judgment matrix；
Weight computation module, for acquiring the technical field according to significance level judgment matrix calculating, each evaluation refers to
Target Maximum characteristic root and corresponding feature vector, the feature vector value being calculated are normalized weight value；
Health degree computing module, for returning for index in each technical field can be calculated by above-mentioned calculating process
One changes weighted value, and then the relevant infrastructure health degree of entire operation system is calculated；Specifically, pass through weight calculation
The proportional roles of index in each technical field can be calculated in module, and each field is calculated further according to weigthed sums approach
Health degree index；Its health degree weight in operation system is obtained, and then be calculated according to the health degree index in each field
The relevant infrastructure health degree of entire operation system.
Monitoring modular, for persistently being reduced when by monitoring the entire relevant infrastructure health degree of operation system of discovery
When, it sends out the system failure and business service interrupts hidden danger early warning.
Consistency judgment module, for being sentenced according to equation below to the consistency of the significance level judgment matrix
It is disconnected：
In formula, n is the exponent number of significance level judgment matrix, when completely the same, CI=0.
When inconsistent,RI represents that Aver-age Random Consistency Index, CR represent random consistency ratio CR；
When carrying out consistency checking, if random consistency ratio CR<0.1, then it is assumed that inconsistency can be received,
If CR>0.1, it is believed that inconsistency cannot be received, and need to be adjusted calculating to significance level judgment matrix again.
For the specific implementation process of described device of the embodiment of the present invention, due to being described in detail in the above method, therefore
Details are not described herein again.
In conclusion the present invention implement provide a kind of method based on system health degree faults of monitoring system and hidden danger and
The related element for influencing complication system health degree is established and simplifies orderly recursive hierarchy structure, and pass through and evaluate these by device
Relative importance weights between element mitigate the complexity in policymaker's evaluation procedure, then by between each element
Whether the thinking of judgment matrix and its characteristic root test policymaker are consistent, contribute to the self-checking of policymaker and keep judging to think
The consistency of dimension.Using this method can overall monitoring operating status, and all kinds of failures that may occur for system, such as
Network port failure, process CPU memory usages are high, service access time delay persistently increases, and comprehensively monitor health degree, in advance
It was found that the failure and hidden danger of system.
It will be understood by those skilled in the art that realizing all or part of flow of above-described embodiment method, meter can be passed through
Calculation machine program is completed to instruct relevant hardware, and the program can be stored in computer readable storage medium.Wherein, institute
Computer readable storage medium is stated as disk, CD, read-only memory or random access memory etc..
Although the present invention and its advantage is described in detail it should be appreciated that without departing from by appended claim
Various changes, replacement and transformation can be carried out in the case of the spirit and scope of the present invention limited.Moreover, the model of the application
Enclose the specific embodiment for being not limited only to the described process of specification, equipment, means, method and steps.In the art is common
Technical staff performs and corresponding reality described herein from the disclosure it will be readily understood that can be used according to the present invention
Apply the essentially identical function of example or obtain process essentially identical with it result, existing and that future is to be developed, equipment,
Means, method or step.Therefore, appended claim purport includes such process, equipment, hand in the range of them
Section, method or step.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, the change or replacement that can be readily occurred in,
It should be covered by the protection scope of the present invention.
Claims (10)
- A kind of 1. method based on system health degree faults of monitoring system and hidden danger, which is characterized in that including：For each technical field, acquire in the technical field on the influential factor of system health degree, it is true according to the factor Determine on the influential evaluation index of system health degree and opposite evaluation parameter；According to the field of health degree evaluation to be carried out, the significance level of each evaluation index between any two is defined, obtains weight Want degree judgment matrix；The Maximum characteristic root of each evaluation index of the technical field and corresponding is acquired according to significance level judgment matrix calculating Feature vector, the feature vector value being calculated is normalized weight value；The normalized weight value of index in each technical field can be calculated by above-mentioned calculating process, and then be calculated The relevant infrastructure health degree of entire operation system；When finding that the entire relevant infrastructure health degree of operation system persistently reduces by monitoring, the system failure and industry are sent out Business service disruption hidden danger early warning.
- 2. it according to the method described in claim 1, it is characterized in that, further includes：The consistency of the significance level judgment matrix is judged according to equation below：In formula, n is the exponent number of significance level judgment matrix, when completely the same, CI=0.When inconsistent,RI represents that Aver-age Random Consistency Index, CR represent random consistency ratio CR；When carrying out consistency checking, if random consistency ratio CR<0.1, then it is assumed that inconsistency can be received, if CR >0.1, it is believed that inconsistency cannot be received, and need to be adjusted calculating to significance level judgment matrix again.
- 3. it according to the method described in claim 1, it is characterized in that, specifically includes：The proportional roles of index in each technical field can be calculated by above-mentioned calculating process, further according to weigthed sums approach The health degree index in each field is calculated；Its health degree in operation system is obtained according to the health degree index in each field to weigh Weight, and then the relevant infrastructure health degree of entire operation system is calculated.
- 4. according to the method described in claim 1, it is characterized in that, the technical field includes at least：Communication network, calculates storage, security protection, space-time datum at information service.
- 5. according to the method described in claim 4, it is characterized in that,Whole system health degree=communication network domains health degree weight * communication network domains health degree score+information services domain health It is anti-to spend weight * information services domains health degree score+calculating storage domain health degree weight * calculating storage domain health degrees score+safety Protect domain health degree weight * security protections domain health degree score+space-time datum domain health degree weight * space-time datums domain health degree score + ...+certain field health degree weight * field health degree scores.
- 6. a kind of device based on system health degree faults of monitoring system and hidden danger, which is characterized in that including：Acquisition module for being directed to each technical field, is acquired in the technical field on the influential factor of system health degree, root It is determined according to the factor on the influential evaluation index of system health degree and opposite evaluation parameter；Judgment matrix module will carry out the field of health degree evaluation for basis, to the important journey of each evaluation index between any two Degree is defined, and obtains significance level judgment matrix；Weight computation module, for acquiring each evaluation index of the technical field according to significance level judgment matrix calculating Maximum characteristic root and corresponding feature vector, the feature vector value being calculated are normalized weight value；Health degree computing module, for the normalization of index in each technical field can be calculated by above-mentioned calculating process Weighted value, and then the relevant infrastructure health degree of entire operation system is calculated；Monitoring modular, for when finding that the entire relevant infrastructure health degree of operation system persistently reduces by monitoring, sending out Go out the system failure and business service interrupts hidden danger early warning.
- 7. device according to claim 6, which is characterized in that further include：Consistency judgment module, for being judged according to equation below the consistency of the significance level judgment matrix：In formula, n is the exponent number of significance level judgment matrix, when completely the same, CI=0.When inconsistent,RI represents that Aver-age Random Consistency Index, CR represent random consistency ratio CR；When carrying out consistency checking, if random consistency ratio CR<0.1, then it is assumed that inconsistency can be received, if CR >0.1, it is believed that inconsistency cannot be received, and need to be adjusted calculating to significance level judgment matrix again.
- 8. device according to claim 6, which is characterized in that the health degree computing module is specifically used for, by above-mentioned The proportional roles of index in each technical field can be calculated in calculating process, and each neck is calculated further according to weigthed sums approach The health degree index in domain；Its health degree weight in operation system is obtained, and then calculate according to the health degree index in each field Obtain the relevant infrastructure health degree of entire operation system.
- 9. device according to claim 6, which is characterized in that the technical field includes at least：Communication network, calculates storage, security protection, space-time datum at information service.
- 10. device according to claim 9, which is characterized in thatWhole system health degree=communication network domains health degree weight * communication network domains health degree score+information services domain health It is anti-to spend weight * information services domains health degree score+calculating storage domain health degree weight * calculating storage domain health degrees score+safety Protect domain health degree weight * security protections domain health degree score+space-time datum domain health degree weight * space-time datums domain health degree score + ... the ..+ fields health degree weight * field health degree scores.
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| CN109270900A (en) * | 2018-09-03 | 2019-01-25 | 深圳市智物联网络有限公司 | A kind of equipment state evaluation method and relevant device based on analytic hierarchy process (AHP) |
| CN111274087A (en) * | 2020-01-15 | 2020-06-12 | 国网湖南省电力有限公司 | Health degree evaluation method of IT centralized monitoring business system |
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| CN113946836B (en) * | 2021-12-20 | 2022-04-19 | 中山大学 | Method, system, equipment and medium for evaluating toughness of information system |
| CN116521517A (en) * | 2023-02-09 | 2023-08-01 | 海看网络科技(山东)股份有限公司 | IPTV system health degree assessment method based on service topology multi-model fusion |
| CN116070963A (en) * | 2023-03-06 | 2023-05-05 | 华安证券股份有限公司 | Online customer service system health degree detection method based on big data |
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