CN108363665A - A kind of CMS novel maintenances diagnostic system and method based on high in the clouds - Google Patents
A kind of CMS novel maintenances diagnostic system and method based on high in the clouds Download PDFInfo
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- CN108363665A CN108363665A CN201810131459.3A CN201810131459A CN108363665A CN 108363665 A CN108363665 A CN 108363665A CN 201810131459 A CN201810131459 A CN 201810131459A CN 108363665 A CN108363665 A CN 108363665A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/366—Software debugging using diagnostics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
- G06F11/3688—Test management for test execution, e.g. scheduling of test suites
Abstract
A kind of CMS novel maintenance systems based on high in the clouds, including use-case retrieve module, diagnosis use-case library, and characteristic extracting module diagnoses computing module, reference characteristic library, patch library, intelligent repair module, label correction module；Its method includes the following steps：According to CMS, phenomenon retrieves corresponding use-case in diagnosis use-case library the problem of using or encountering；Characteristic extracting module extracts CMS the characteristic value for the diagnosis item that current use-case includes, composition characteristic vector；Diagnosing computing module, the corresponding reference characteristic in reference characteristic library is vectorial with current use-case by calculating feature vector, and the characteristic value in vector is compared with the threshold value being set in advance and confirms abnormal diagnosis item；Corresponding patch is matched to according to exception item in patch library to repair CMS automatically；Label correction module adjusts use-case label by repairing the measurement of result；It is diagnosed and is repaired by real time remote, make non-technical personnel also can timely processing problem.
Description
Technical field
The invention belongs to the O＆M diagnostic techniques field of computer system, more particularly to a kind of CMS based on high in the clouds is long-range
O＆M diagnostic system and method.
Background technology
CMS (Content Management System) is chiefly used in the informatization and electronic government affairs of government, colleges and universities and enterprise.With
Family is more demanding to the stable operation of system, and can have some in use or operational process because of server running environment, people
The problem of causing for operation, compatibility, data exchange etc..
Such issues that layman can not solve, professional are also required to gradually investigate problem in assessment and diagnosis,
It is higher to treatment people technology and skill requirement, cause process problem difficulty big, not in time.
Existing technology is confined to the remotely monitor to system running environment and push, and disadvantage is a lack of online to problem reality
When diagnose and repair.
Invention content
To overcome above-mentioned the deficiencies in the prior art, the purpose of the present invention is to provide a kind of CMS based on high in the clouds remotely to transport
Tie up diagnostic system, have the characteristics that conducive to it is more efficient, more acurrate, more efficiently handling failure and solve the problems, such as.
To achieve the above object, the technical solution adopted by the present invention is：A kind of CMS novel maintenances diagnosis system based on high in the clouds
System, which is characterized in that include use-case retrieval module, diagnosis use-case library, reference characteristic library, characteristic extracting module, diagnosis calculating
Module, patch library, intelligent repair module, label correction module；
Use-case retrieves module 1, for retrieving the use-case for needing to diagnose；
Use-case library 2 is diagnosed, for storing use-case；
Reference characteristic library 3 is to provide source for the predefined reference characteristic vector of each use-case for diagnosis computing module 5
Data；
Characteristic extracting module 4, extraction use-case include each diagnose item characteristic value, further obtain feature vector,
Source data is provided for diagnosis computing module 5；
Computing module 5 is diagnosed, the data in reference characteristic library 3 and the offer of characteristic extracting module 4 are provided, judges to examine by calculating
Whether disconnected item is abnormal；
Patch library 6, for storing the corresponding patch of each diagnosis item；
Intelligent repair module 7 repairs CMS according to the patch in patch library 6 automatically；
Label correction module 8 is corrected use-case label in diagnosis use-case library 1.
The diagnosis use-case library 2 and the resource of reference characteristic library 3 and patch library 6 are both needed to predefine, and are deposited using cloud
Storage, the use-case that all CMS are generated can be shared, and reusability of resources is improved.
The characteristic extracting module 4 carries out the acquisition of data to CMS run-time environments by diagnosing item, analyzes, carries
Take feature.
The described diagnosis computing module 5 pass through calculate the feature vector of extract real-time with after reference characteristic vector, and in advance
The threshold value set is compared, and confirms abnormal diagnosis item.
The intelligent repair module 7 be directed in CMS can change in range according to predefined algorithm routine in patch into
Row is automatic to be repaired.
The use-case includes label and several diagnosis items, and wherein label is the keyword described to problematic phenomenon, diagnosis
Item induces the mistake including configuration file, server hardware environmental parameter, net of the problem to induce a reason of the problem
Network environment, third party device intercept, the bug of CMS codes, and corresponding each diagnosis item includes separate feature extraction journey
Sequence.
A kind of CMS novel maintenance diagnostic methods based on high in the clouds, include the following steps：
Step 1, the label in the request of extraction CMS ends, calculate label in diagnosis use-case library all use-case labels it is similar
Degree confirms the use-case for needing to diagnose according to similarity descending sort；
Step 2, CMS executes the feature extraction program extraction characteristic value of diagnosis item, composition characteristic vector；
Step 3, calculate step 2 feature vector and the corresponding reference characteristic vector in reference characteristic library difference, compare to
Each characteristic value and pre-set threshold value (θ in amounti), confirm exception item；
Step 4, intelligent repair module is matched to the corresponding patch of exception item according to exception item in patch library, is repaiied intelligently
Algorithm routine in patch is executed in multiple module, carry out automatic repair to CMS system is repaired automatically；
Step 5, according to the automatic label for repairing the current use-case of calibration of the output results.
The label in extraction CMS requests described in step 1 is using segmenter by cloud computing to the description in request
Information is segmented, and keyword, that is, label is extracted, and the similarity between use-case is calculated using Method of Cosine, and a large amount of use-case is pressed phase
Like degree descending sort so that faster, more accurately navigate to the use-case for needing to diagnose.
CMS extracts the extraction procedure for the characteristic value that item is each diagnosed in use-case in step 2, using asynchronous execution schema extraction
The characteristic value of corresponding diagnosis item, prevents holding for some other feature extraction program of feature extraction program occlusive effects in CMS environment
Row.
When two kinds whether the result that diagnosis item needs detect in step 3 being only, corresponding characteristic value is identified with 0,1,
Corresponding threshold θ is 0.
When being repaired automatically to CMS according to algorithm routine in step 4, only for being repaired in the revisable range of program；
For successful use-case is repaired in step 5, take example label and step 1 in the union of label extracted, make
For the new label of the use-case, the accuracy of retrieval is improved.
The beneficial effects of the invention are as follows：
Compared with prior art, the present invention has the following advantages：
1) it accurate lock and can repair, traditional CMS is mostly after encountering problems to be upgraded more in a manner of version iteration etc.
Newly, change amplitude is big, and it is a whole updating that the problem of being brought for CMS, which is for he, has in CMS and is much customized for user
Part, upgrading update mode traditional in this way is less applicable, may bring conflict, compatibling problem.The present invention is needle
The detection and reparation that part is carried out to the particular problem encountered in CMS system use and operational process, compared to mode before
It is more accurate, flexible and rapid.
2) learning cost is reduced, all methods described in the present invention are all based on processing side automatically or semi-automatically
Formula, using only needing that processing mode is selected to can be solved problem, learning cost levels off to zero.
3) time cost is saved.In traditional settling mode, user can be seeked advice from by service calls, and customer service reinforms engineering
Teacher is handled, and in the process, wastes a large amount of time for linking up.The detection of the present invention and repair mechanism, can effectively, quickly
Processing FAQs.
The method of O＆M using the present invention and diagnosis is conducive to more efficient, more acurrate, more efficiently handling failure reconciliation
Certainly problem.
Description of the drawings
Fig. 1 is the system principle diagram of the present invention.
Fig. 2 is the flow chart of the method for the present invention.
Specific implementation mode
Invention is further described in detail with reference to the accompanying drawings and examples.
As shown in Figure 1, the CMS novel maintenance diagnostic systems based on high in the clouds, include use-case retrieval module 1, diagnose use-case
Library 2, reference characteristic library 3, characteristic extracting module 4 diagnose computing module 5, intelligent repair module 6, patch library 7, label straightening die
Block 8；
The use-case retrieves module 1, for retrieving the use-case for needing to diagnose in diagnosis use-case library, with feature extraction
Module input links；The CMS requests received by webservice, and solicited message is analyzed, in diagnosis use-case
Corresponding use-case is retrieved in library, specifically includes stop words, the function word for including in removal information, and label is extracted using segmenter,
Label is converted into vector and then calculates the similarity with use-case in diagnosis use-case library, and presses similarity descending sort；
The diagnosis use-case library 2, for storing various use-cases；Due to the label warp of use-case in diagnosis use-case library
It crosses gradually accumulation to increase, Deta sparseness is strong after making current label converting vector, therefore the similarity between use-case uses Method of Cosine
It calculates；
Reference characteristic library 3 is to provide source for the predefined reference characteristic vector of each use-case for diagnosis computing module 5
Data；The reference characteristic library is used to store the reference characteristic value and threshold value corresponding to diagnosis item.The reference characteristic value
It is corresponded with threshold value and diagnosis item, what the initial value of the reference characteristic value and threshold value had been predefined in advance by technical staff.
The characteristic extracting module 4 is responsible for each diagnosing the characteristic value of item in extract real-time use-case, further obtains spy
Sign vector provides source data for diagnosis computing module；Characteristic extracting module 4 is carried according to the pre-defined feature of item is diagnosed in use-case
The characteristic value of each diagnosis item in program fetch extract real-time to CMS, and then obtain feature vector.
The difference that computing module 5 calculates the feature vector and reference characteristic vector of extraction is diagnosed, will be greater than being set in advance
Threshold θiCorresponding diagnosis item is labeled as abnormal；The diagnosis computing module receives reference characteristic library 3 and characteristic extracting module 4
The data of offer judge whether diagnosis item is abnormal, after diagnosis computing module is according to characteristic extracting module collection analysis by calculating
The data in data and reference characteristic library calculate abnormal diagnosis item.
Patch library 6 provides source data for storing the corresponding patch of diagnosis item, for intelligence repair module；Patch is to examining
The algorithm repair procedure of disconnected item, each patch correspond to a diagnosis item, for some diagnosis items, can not be changed in range in program
Only notify administrator.
Intelligent repair module 7 is repaired automatically according to the program in patch；For abnormal diagnosis item, closed according to mapping
It ties up to patch library and is matched to corresponding patch, the algorithm routine executed in patch repairs CMS automatically.
The use-case includes label and several diagnosis items, and wherein label is the keyword described to problematic phenomenon, diagnoses item
To further include the mistake of configuration file the reason of inducing a reason of the problem, induce the problem, server hardware environment ginseng
Several is not inconsistent, the bug etc. of code, and corresponding each diagnosis item includes separate feature extraction program.
Label correction module 8 carries out school according to the measurement for diagnosing and repairing result, to use-case label in diagnosis use-case library 1
Just, the adjustment of adaptation is made to use-case label.Label correction module be responsible for repairs successfully, by retrieve module extract label and
The use-case label of Current Diagnostic takes the label that union must be new as the use-case；
The diagnosis use-case library 2 and the resource of reference characteristic library 3 and patch library 6 are both needed to predefine, and are deposited using cloud
Storage, the use-case that all CMS are generated can be shared, and reusability of resources is improved.
Referring to Fig. 2, the CMS novel maintenance diagnostic methods based on high in the clouds of the embodiment of the present invention, including：
Step 1, the label W (ω of information described in the request of the ends extraction CMS1,ω2,…,ωp), it obtains in diagnosis use-case library
The label of use-caseTake W withUnion obtain W'(ω1',ω2',…,ωr'), there is max { p, q } accordingly
≤ r converts W to 01 vector P (p of r dimensions1,p2,…,pr), if wherein wi' ∈ W, then pi=1, otherwise pi=0, similarly willIt is converted into 01 vectors of r dimensionsThen use Method of Cosine calculate vector P andSimilarityAnd the use-case for needing to diagnose is confirmed by similarity descending sort；
This step segments use-case using segmenter by cloud computing, extracts label, is calculated using Method of Cosine similar
A large amount of use-case is pressed similarity descending sort so that faster, more accurately navigate to the use-case for needing to diagnose by degree；
Step 2, the ends CMS confirm the use-case for needing to diagnose, and the characteristic value that item is each diagnosed in use-case, group are extracted for CMS
At feature vector, and the feature extraction program for executing each diagnosis item extracts characteristic value, obtains feature vector ζ (λ1,λ2,…,λn)；
According to the feature extraction program of multiple diagnosis items in use-case in this step, using asynchronous execution schema extraction CMS rings
The characteristic value of corresponding diagnosis item in border prevents the execution of other feature extraction programs of some feature extraction program occlusive effects；
Step 3, feature vector ζ (λ are calculated1,λ2,…,λn) vectorial with the corresponding reference characteristic in reference characteristic libraryPoor ζ ' (λ '1,λ'2,…,λ'n), by λ ' in ζ 'iMore than the threshold θ defined in advanceiCorresponding diagnosis item
Labeled as exception item；
When two kinds whether the result that diagnosis item needs detect in this step being only, corresponding characteristic value is identified with 0,1,
Corresponding threshold θ is 0；
Step 4, intelligent repair module finds patch and according in patch according to exception item in patch library mapping relations
Algorithm routine repairs CMS system automatically；For that can change in range, the ends parsing CMS text file, modification text
Wrong position in this, for range can not be changed, such as server disk read-write, firewall policy, network environment, third party system
System, only notifies administrator；
When being repaired automatically to CMS according to algorithm routine in this step, only for being repaired in the revisable range of program；
Step 5, according to calibration of the output results use-case label is repaired, to repairing successful use-case, the W' that will be obtained in step 1
(ω1',ω2',…,ωr') label new as example is used instead.
For successful use-case is repaired in this step, take example label and step S1 in the union of label extracted,
As the new label of the use-case, the accuracy of retrieval is improved.
Claims (10)
1. a kind of CMS novel maintenance diagnostic systems based on high in the clouds, which is characterized in that include：
Use-case retrieves module（1）, for retrieving the use-case for needing to diagnose；
Diagnose use-case library（2）, for storing use-case；
Reference characteristic library（3）, it is for the predefined reference characteristic vector of each use-case, to diagnose computing module（5）Offer source
Data；
Characteristic extracting module（4）, extraction use-case include each diagnose item characteristic value, further obtain feature vector, be
Diagnose computing module（5）Source data is provided；
Diagnose computing module（5）, receive reference characteristic library（3）And characteristic extracting module（4）The data of offer are judged by calculating
Whether abnormal diagnose item；
Patch library（6）, for storing the corresponding patch of each diagnosis item；
Intelligent repair module（7）, according to patch library（6）In patch CMS is repaired automatically；
Label correction module（8）, to diagnosis use-case library（1）Middle use-case label is corrected.
2. a kind of CMS novel maintenance diagnostic systems based on high in the clouds as described in claim 1, which is characterized in that described examines
Disconnected use-case library（2）With reference characteristic library（3）And patch library（6）Content be both needed to predefine, and use cloud storage, all CMS
The use-case of generation can be shared, and reusability of resources is improved.
3. a kind of CMS novel maintenance diagnostic systems based on high in the clouds as described in claim 1, which is characterized in that the spy
Levy extraction module（4）The acquisition, analysis, extraction feature of data are carried out to CMS run-time environments by diagnosing item.
4. a kind of CMS novel maintenance diagnostic systems based on high in the clouds as described in claim 1, which is characterized in that described examines
Disconnected computing module（5）After feature vector and reference characteristic vector by calculating extract real-time, with the threshold value that has been set in advance into
Row compares, and confirms abnormal diagnosis item.
5. a kind of CMS novel maintenance diagnostic systems based on high in the clouds as claimed in claim 2, which is characterized in that the use
Example includes label and several diagnosis items, and wherein label is the keyword described to problematic phenomenon, and diagnosis item is to induce the problem
One reason；The reason of inducing the problem further includes the mistake of configuration file, server hardware environmental parameter, network environment,
Three method, apparatus intercept, the bug of CMS codes, and corresponding each diagnosis item includes separate feature extraction program.
6. a kind of CMS novel maintenance diagnostic methods based on high in the clouds, which is characterized in that include the following steps：
Step 1, the label in extraction CMS requests, calculates label and diagnoses the similarity of all use-case labels in use-case library, according to
Similarity descending sort confirms the use-case for needing to diagnose；
Step 2, CMS executes the feature extraction program that item is each diagnosed in use-case, obtains characteristic value, composition characteristic vector;
Step 3, the difference for calculating the feature vector and the corresponding reference characteristic vector in reference characteristic library of step 2, in more vectorial
Each characteristic value and pre-set threshold value, confirm exception item;
Step 4, intelligent repair module is matched to the corresponding patch of exception item for exception item in patch library, is intelligently repairing mould
The algorithm routine in patch is executed in block, and CMS system is repaired automatically；
Step 5, according to the label for repairing the current use-case of calibration of the output results.
7. a kind of CMS novel maintenance diagnostic methods based on high in the clouds according to claim 6, which is characterized in that in step 1
Label in the extraction CMS requests, is to be segmented to the description information in request using segmenter by cloud computing, carried
Keyword i.e. label is taken, the similarity between use-case is calculated using Method of Cosine.
8. a kind of CMS novel maintenance diagnostic methods based on high in the clouds according to claim 6, which is characterized in that in step 2
CMS extraction use-case in each diagnose item characteristic value extraction procedure, using in asynchronous execution schema extraction CMS environment to seing patients
The characteristic value of disconnected item prevents the execution of other feature extraction programs of some feature extraction program occlusive effects.
9. a kind of CMS novel maintenance diagnostic methods based on high in the clouds according to claim 6, which is characterized in that in step 3
When the result of corresponding characteristic value is two kinds of situations whether being, corresponding characteristic value is identified with 0,1, corresponding threshold valueIt is 0.
10. a kind of CMS novel maintenance diagnostic methods based on high in the clouds according to claim 6, which is characterized in that step 5
In for successful use-case is repaired, take example label and step 1 in the union of label extracted, as the new of the use-case
Label improves the accuracy of retrieval.
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Cited By (4)
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| CN109697267A (en) * | 2018-12-12 | 2019-04-30 | 西安四叶草信息技术有限公司 | CMS recognition methods and device |
| CN111046390A (en) * | 2019-07-12 | 2020-04-21 | 哈尔滨安天科技集团股份有限公司 | Cooperative defense patch protection method and device and storage equipment |
| CN112269796A (en) * | 2020-10-23 | 2021-01-26 | 北京浪潮数据技术有限公司 | Data retrieval method and related device |
| US11269901B2 (en) | 2020-01-16 | 2022-03-08 | International Business Machines Corporation | Cognitive test advisor facility for identifying test repair actions |
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