CN105681070A - Method and system for automatically collecting and analyzing computer cluster node information - Google Patents

Method and system for automatically collecting and analyzing computer cluster node information Download PDF

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Publication number
CN105681070A
CN105681070A CN201410675299.0A CN201410675299A CN105681070A CN 105681070 A CN105681070 A CN 105681070A CN 201410675299 A CN201410675299 A CN 201410675299A CN 105681070 A CN105681070 A CN 105681070A
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nodal information
redundancy
computer cluster
node
analyzing
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刘晓东
姜宇征
陈�峰
李中平
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Semiconductor Manufacturing International Shanghai Corp
Semiconductor Manufacturing International Corp
Semiconductor Manufacturing International Tianjin Corp
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Semiconductor Manufacturing International Shanghai Corp
Semiconductor Manufacturing International Tianjin Corp
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Priority to CN201410675299.0A priority Critical patent/CN105681070A/en
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Abstract

The invention relates to the technical field of manufacturing of integrated circuit chips, in particular to a computer cluster system. The method for automatically collecting and analyzing the computer cluster node information comprises the following steps: s1, acquiring all node information in a computer cluster; s2, storing node information; s3, acquiring undetected nodes from the stored node information, performing redundancy analysis on the nodes according to a corresponding detection strategy, and generating an analysis result; s4, repeating the step s3 till redundancy analysis of all the nodes is finished; and s5, judging whether a single-point risk exists in any node or not according to an analysis result, and generating a detection result. Through adoption of the method and the system, the workload of a system administrator can be effectively lowered; errors and omissions of manual input are avoided; a data basis is laid for monitoring analysis of a cluster platform; a risk of single-point failure occurring in the cluster system is lowered; and the reliability of the system is improved.

Description

A kind of automatic collection computer cluster nodal information the method and system of analyzing
Technical field
The present invention relates to IC chip manufacturing technology field, be specifically related to a kind of computer collectionGroup's system.
Background technology
IC chip manufacture is a very complicated process, completes a kind of manufacture of chipMay need to spend several time-of-weeks and the hundreds of procedures of experience. Due to the relevant development in science and technology of semiconductorBe tending towards the physical phenomenon limit, client's requirement also becomes more diverse, and makes semiconductor technologyElasticity and complexity become more and more higher, slightly mistake will make company occur very large damageLose, therefore information automation technology is by a large amount of being incorporated in semiconductor fabrication factory.
Information automation can greatly improve equipment managerial skills, carry out the collection of process dataWith statistics technology controlling and process, ensure that logistics control is more smooth, can also improve process program simultaneously(recipe) managerial skills, the phenomenon that reduces maloperation and do over again, these all promote greatlyThe lifting of product yield. Information automation can also be realized advanced Real Time Dispatching simultaneously, improvesSpeed of production and efficiency, information automation has played for the value that promotes semiconductor fabrication factoryVital effect.
Because increasing automation service control in semiconductor fabrication factory has obtained ITThe support of (InformationTechnology, information technology) has also realized certainly by means of ITMovingization, so highly available enterprise's IT infrastructure becomes extremely important. In order to ensure industryBusiness service is highly available, and the high reliability of IT infrastructure is to ensure. Conventionally, highlyBy the high availability based on redundancy, (HighAvailability is called for short available IT infrastructureHA) scheme realizes, and wherein the HA scheme based on redundancy is main from IT management viewThe availability of wanting is measured. HA scheme based on redundancy is passed through critical data and is applied from collapseIT system fault transfer in another reciprocity system for client provide continuous not betweenDisconnected service, thereby downtime and corresponding loss of having reduced service.
But along with the development of computer technology, the infrastructure framework of IT becomes more and moreComplicated and be difficult to management. Add new engine, change network configuration or normally complexity of memory deviceAnd the manual task of easily makeing mistakes. And along with computer cluster in IT infrastructure frameworkIt is more and more huger that scale becomes, and the management and monitoring of group system also becomes and becomes increasingly complex, clusterMonitoring management more and more become a challenging job. Under As-Is, cluster systemHardware node in system was doing after changing, needed system manager to check by hand situation, due toManual operations has brought higher requirement to system manager, and easily makes mistakes; How effectivelyMonitoring group system, the redundancy of guarantee group system, becomes the work that system manager is wasted time and energyDo.
Summary of the invention
The object of the invention is to, provide a kind of and automatically collect computer cluster nodal information and divideThe method of analysing, solves above technical problem;
The object of the invention is to, provide a kind of and automatically collect computer cluster nodal information and divideThe system of analysing, solves above technical problem;
Technical problem solved by the invention can realize by the following technical solutions:
Automatic collection computer cluster nodal information and analyze a method, wherein, comprise withLower step:
Step s1, obtains all nodal informations in computer cluster;
Step s2, stores described nodal information;
Step s3 obtains the node not detecting, according to corresponding from the described nodal information of storageDetection strategy described node is carried out redundancy analysis and generates analysis result;
Step s4, the described step s3 that circulates is until all nodes complete redundancy analysis;
Step s5, has judged whether that according to described analysis result node exists single-point risk, and rawBecome a testing result.
Preferably, step s3 is specific as follows:
Step s31, obtains the Platform Type of node to be detected;
Step s32, obtains the detection strategy corresponding with described Platform Type;
Step s33, utilizes detection strategy to treat detection node and carries out redundancy detection, and rawBecome analysis result.
Preferably, the corresponding a kind of strategy that detects of each Platform Type, each detects strategy bagDraw together at least one and detect rule; In step s5, when detected node does not meet corresponding detectionWhen any one of strategy detects rule, judge that detected node exists single-point risk.
Preferably, after described step s2, before described step s5, also comprise step s6,According to a default topological relation, the node in described computer cluster is generated to a nodal informationData-Link, the nodal information that described nodal information Data-Link comprises is raw by a figure generation unitBecome system hardware Organization Chart.
Preferably, step s6 is specific as follows:
Step s61, obtains the Platform Type of described node;
Step s62, obtains the topological relation corresponding with described Platform Type;
Step s63, the described topological relation of foundation forms the nodal information Data-Link of a tree structure,Be kept in the file of a setting form;
Step s64, described figure generation unit obtains the file of described setting form, and foundationThe nodal information comprising in the file of described setting form dynamically generates described system hardware frameworkFigure.
Preferably, described detection strategy comprises system hardware redundancy detection strategy, and described system is hardThe detection rule of part redundancy detection strategy comprises whether hardware is whether two hard disks and hard disk have doneMirror image, and/or whether be dual power supply, and/or whether dual power supply is connected to different uninterrupted electricitySource.
Preferably, described detection strategy comprises network link redundancy detection strategy, described lattice chainThe detection rule of road redundancy detection strategy comprises whether being two network interface cards, and/or whether two network interface card connectsReceive in heterogeneous networks management equipment, and/or whether redundancy of the network management device connecting.
Preferably, described detection strategy comprises optical fiber link redundancy detection strategy, described optical fiber chainThe detection rule of road redundancy detection strategy comprises whether being two host bus adaptor cards; And/orWhether two host bus adaptor cards have been connected on different fiber management equipment; And/or instituteWhether redundancy of the fiber management equipment connecting.
Preferably, described detection strategy comprises business application system redundancy detection strategy, described industryThe detection rule of business application system redundancy detection strategy comprises whether core business application system depositsBe at least two main frames.
Preferably, the file of described setting form adopts extend markup language formatted file, instituteStating nodal information Data-Link is kept in extend markup language formatted file.
The system that the present invention also provides a kind of automatic collection computer cluster nodal information and analyzes,Wherein,
Comprise,
Nodal information collection module, for obtaining the nodal information of computer cluster;
Nodal information memory module, is connected with described nodal information collection module, for storingState the nodal information that nodal information collection module is collected;
Redundancy analysis module, is connected with described nodal information memory module, according to what setDetect strategy node is carried out to redundancy analysis, and generate an analysis result.
Preferably, described redundancy analysis module comprises a report generation unit, for foundationDescribed analysis result generates a redundancy analytical statement, and described redundancy analytical statement at leastComprise nodename and inspection item that all inspections are failed.
Preferably, also comprise, system hardware Schema information generation module, with described nodal informationMemory module connects, and forms one for the topological relation according to default between computer cluster nodeThe nodal information Data-Link of tree structure.
Preferably, also comprise a figure generation unit, described figure generation unit and described systemHardware structure information generating module connects, the joint comprising by obtaining described nodal information Data-LinkDot information generation system hardware structure figure.
Beneficial effect: owing to adopting above technical scheme,
1) the present invention can effectively reduce system manager's workload, avoids manual inputErrors and omissions, for the monitoring analysis of cluster platform provides data basis, reduceThere is the risk of Single Point of Faliure in group system, improves the reliability of system;
2) the present invention can evade the single-point risk in IT infrastructure effectively, is systemKeeper does after adding hardware, software or revising current program or flow processRedundancy checks, reduces Single Point of Faliure;
3) the invention allows for the default clustered node topological relation of a kind of basis, form treeShape nodal information Data-Link, the technological means of dynamic generating system hardware structure figure,For system manager provides effective foundation to total system fail-safe analysis and decision-making.
Brief description of the drawings
Fig. 1 is system flow schematic diagram of the present invention;
Fig. 2 is the present invention carries out redundancy analysis schematic flow sheet to nodal information;
Fig. 3 is the schematic flow sheet of generation system hardware structure figure of the present invention;
Fig. 4 is the XML file example of a kind of specific embodiment of information data chain of the present invention;
Fig. 5 is the system hardware frame that the nodal information listed in the XML file in Fig. 4 generatesPattern example.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, to the technical side in the embodiment of the present inventionCase is clearly and completely described, and obviously, described embodiment is only one of the present inventionDivide embodiment, instead of whole embodiment. Based on the embodiment in the present invention, this area is generalThe every other enforcement that logical technical staff obtains under the prerequisite of not making creative workExample, all belongs to the scope of protection of the invention.
It should be noted that, in the situation that not conflicting, the embodiment in the present invention and embodimentIn feature can mutually combine.
Below in conjunction with the drawings and specific embodiments, the invention will be further described, but not as thisThe restriction of invention.
A kind of method that the invention provides automatic collection computer cluster nodal information and analyze, ginsengAccording to Fig. 1, comprise the following steps:
Step s1, obtains all nodal informations in computer cluster;
Step s2, memory node information;
Step s3 obtains the node not detecting from the nodal information of storage, according to inspection accordinglySurveying strategy carries out redundancy analysis and generates an analysis result node;
Step s4, circulation step s3 is until all nodes complete redundancy analysis;
Step s5, has judged whether that according to analysis result node exists single-point risk, and has generated oneTesting result. In the time that testing result shows that node exists single-point risk, system manager repairs jointThe single-point risk of point; In the time that all nodes in computer cluster do not exist single-point risk, calculateMachine cluster redundancy check finishes.
Computer cluster redundancy check of the present invention is by automatically collecting IT infrastructure computerIn cluster, the nodal information of various different platforms also carries out redundancy analysis automatically, can effectively fallLow system manager's workload, avoids the errors and omissions of manual input, for cluster platformMonitoring analysis provides data basis, reduces the risk that Single Point of Faliure appears in computer cluster,The reliability of raising system.
Computer cluster redundancy check of the present invention can add hardware, software or amendmentAfter current program or flow process, do redundancy inspection, also can be every setting-up time interval from stepS1 restarts to carry out, as once in a week; Can effectively evade the list in IT infrastructurePoint risk, reduces Single Point of Faliure.
As a kind of preferred embodiment of the present invention, with reference to Fig. 2, step s3 is specific as follows:
Step s31, obtains the Platform Type of node to be detected;
Step s32, obtains the detection strategy corresponding with Platform Type;
Step s33, utilizes detection strategy to treat detection node and carries out redundancy detection, and rawBecome analysis result.
As a kind of preferred embodiment of the present invention, each node platform type is corresponding a kind ofDetect strategy, the corresponding a kind of strategy that detects of each Platform Type, each detects strategy and comprisesAt least one detects rule; In step s5, when detected node does not meet the corresponding plan that detectsWhen slightly any one detects rule, judge that detected node exists single-point risk.
The present invention is according to the difference of various node platform types in computer cluster, according to specificDetect strategy by checking the information of all nodes, list and check failed nodename and inspectionProject, is convenient to system manager and makes improvement, occurs single-point event in reduction computer clusterThe risk of barrier. Wherein the information of all nodes can be stored in a data pool.
As a kind of preferred embodiment of the present invention, after the step s2 before step s5,Also comprise step s6, according to a default topological relation, the node in computer cluster is generated to oneNodal information Data-Link, the nodal information that nodal information Data-Link comprises generates single by a figureThe generation system hardware structure figure of unit.
As a kind of preferred embodiment of the present invention, with reference to Fig. 3, step s6 is specific as follows:
Step s61, obtains the Platform Type of node;
Step s62, obtains the topological relation corresponding with Platform Type;
Step s63, forms the nodal information Data-Link of a tree structure according to topological relation, protectExist one to set in the file of form;
Step s64, figure generation unit obtains the file of setting form, and according to setting formFile in the nodal information dynamic generating system hardware structure figure that comprises.
As a kind of preferred embodiment of the present invention, the file of setting form can adopt and can expandExhibition markup language (XML, ExtensibleMarkupLanguage) file, node letterBreath Data-Link is kept in extend markup language formatted file.
As a kind of preferred embodiment of the present invention, above-mentioned analysis result is by a report generationUnit generates redundancy analytical statement, at least inclusion test failure of redundancy analytical statementNodename and test item.
The present invention, according to default clustered node topological relation, forms tree-like nodal information dataChain, and dynamic generating system hardware structure figure, system manager can be by using redundancyAnalytical statement and the system hardware Organization Chart automatically generating, the single-point wind occurring in update the systemDanger, for system manager provides effective foundation to total system fail-safe analysis and decision-making.
As a kind of preferred embodiment of the present invention, detect strategy and comprise the inspection of system hardware redundancySurvey strategy, the detection rule of system hardware redundancy detection strategy comprise hardware be whether two hard disks andWhether whether hard disk has done mirror image, and/or be dual power supply, and/or whether dual power supply is connected to notSame uninterrupted power source. The Platform Type that system hardware redundancy detection strategy is corresponding can be serviceDevice (Server).
As a kind of preferred embodiment of the present invention, detect strategy and comprise the inspection of network link redundancySurvey strategy, the detection rule of network link redundancy detection strategy comprises whether being two network interface cards, and/Or whether two network interface cards be connected in heterogeneous networks management equipment, and/or the network pipe connectingWhether redundancy of reason equipment. The Platform Type that network link redundancy detection strategy is corresponding can be etherNetwork switch (NetworkSwitch).
As a kind of preferred embodiment of the present invention, detect strategy and comprise the inspection of optical fiber link redundancySurvey strategy, the detection rule of optical fiber link redundancy detection strategy comprises whether being that two host buses are suitableOrchestration card (HBA card); And/or whether two host bus adaptor cards have been connected to different lightIn fine management equipment; And/or whether redundancy of the fiber management equipment connecting. Two host busesAdapter (HBA, HostBusAdapter) card is one to be made computer at server and depositsCircuit board and/or the integrated circuit of I/O (I/O) processing and physical connection are provided between storage deviceAdapter. The Platform Type that optical fiber link redundancy detection strategy is corresponding can be SAN (StorageAreaNetwork, storage area network) switch. SAN switch is mainly by disk battle arrayThe memory devices such as row, tape and associated server couple together, and complete memory device and serverBetween communication.
As a kind of preferred embodiment of the present invention, detect strategy and comprise that business application system is superfluousThe remaining strategy that detects, whether business application system redundancy detection strategy comprises core business application systemBe present in two to multiple main frames. The platform class that business application system redundancy detection strategy is correspondingType can be solution (Solution).
As a kind of preferred embodiment of the present invention, detect strategy and comprise the inspection of memory device redundancySurvey strategy, the detection rule of memory device redundancy detection strategy comprises whether memory device is mirror image.
As a kind of preferred embodiment of the present invention, detect strategy and comprise that memory disk detects planSlightly, memory disk is the disk that memory device is allocated to main frame, and memory disk detects strategyDetection rule comprise whether memory disk exists mirror image.
As a kind of preferred embodiment of the present invention, detect strategy and comprise that database redundancy detectsStrategy, database redundancy detects tactful detection rule and comprises whether database may operate in twoOn individual or multiple main frames.
More than list the detection strategy that in implementation process, part redundancy detects, as the present inventionA kind of preferred embodiment, also comprise adding and detect tactful step. In clustered nodeConstantly adding of type of hardware, the detection strategy for newtype node can continued to add.
The system that the present invention also provides a kind of automatic collection computer cluster nodal information and analyzes,Wherein, comprise,
Nodal information collection module, for obtaining the nodal information of computer cluster;
Nodal information memory module, is connected with nodal information collection module, believes for memory nodeThe nodal information that breath collection module is collected;
Redundancy analysis module, is connected with nodal information memory module, according to the detection of settingStrategy carries out redundancy analysis to node, and generates an analysis result.
As a kind of preferred embodiment of the present invention, redundancy analysis module comprises a formGeneration unit, for generate a redundancy analytical statement according to analysis result, redundancy is dividedAnalyse form and at least comprise nodename and the inspection item that all inspections are failed.
As a kind of preferred embodiment of the present invention, also comprise, system hardware Schema information is rawBecome module, be connected with nodal information memory module, for according between computer cluster node in advanceIf topological relation form the nodal information Data-Link of a tree structure.
As a kind of preferred embodiment of the present invention, also comprise a figure generation unit, figureGeneration unit is connected with system hardware Schema information generation module, by obtaining nodal information dataThe nodal information generation system hardware structure figure that chain comprises.
As a kind of preferred embodiment of the present invention, also inclusion test of nodal information memory moduleStrategy and topological relation.
The present invention is directed to different clustered node type of hardwares, preset different hardware-dependent and opened upFlutter relation. Topological relation preferably adopts XML, and (ExtensibleMarkupLanguage, canExtending mark language form) file realizes, and a kind of XML of employing file is realized topological relationExample is as follows:
<?xmlversion="1.0"encoding="UTF-8"?>
-<CITypename="business-process">
-<DependsOn>
<CI>Solution->Server->NetworkSwitch</CI>
<CI>Solution->Server->SANSwitch</CI>
<CI>Solution->Server->Database->Server->LUN->Storage->SAN
Switch</CI>
</DependsOn>
</CIType>
According to the preset relation setting of example above, by depositing in traversal nodal information memory moduleThe hardware node information of storage, generates tree-like nodal information Data-Link, is kept in XML file.With reference to Fig. 4, be a kind of XML file example of tree-like nodal information Data-Link, system hardwareThe dynamic generation module of Organization Chart, by the XML file of handling well, is passed in figure generation unit,Figure generation unit, according to the nodal information of listing in the XML file importing into, generates finalHardware structure figure.
Fig. 5 is the system hardware Organization Chart example according to the XML file generated of Fig. 4. Wherein,
The Platform Type of node M ES is operation flow (business-process); NodeFactoryWorks and node Tuxedo represent respectively business application system, and its Platform Type isSolution (Solution); Node mes7app0, node mes7app1, node cim7tux1,The Platform Type of node cim7tux2, node mes7pdb3 is server (Server); NodeThe Platform Type of fab7-switch1 and node fab7-switch2 is Ethernet switch(NetworkSwitch); The Platform Type of node fab7-san1 and node fab7-san2 isSAN switch (SANSwitch); The platform class of node uspvm-1 and node uspvm-2Type is memory device (Storage); Node uspvm-1:1 and node uspvm-1:2 are respectivelyRepresent to deposit node uspvm-1 and be allocated to the first logic magnetic disc and second logic magnetic disc of main frame, jointPoint uspvm-2:1 and node uspvm-2:2 represent that respectively node uspvm-2 is allocated to main frameThe first logic magnetic disc and the second logic magnetic disc, its Platform Type is logic magnetic disc (LogicalUnitNumber, LUN). The Platform Type of node mes7db is database (Database);When concrete application, redundancy analysis module by the detection strategy according to corresponding to each node byThe individual redundancy analysis that carries out, wherein, in the time of detection node mes7db, with reference to Fig. 5, due to jointPoint mes7db only operates on main frame of node mes7pdb3, does not meet database redundancyThe detection rule checking, whether database may operate on two or more main frames, therebyThere is single-point risk in judgement, needs system manager to repair.
The foregoing is only preferred embodiment of the present invention, not thereby limit enforcement of the present inventionMode and protection domain, to those skilled in the art, should recognize all utilizationsWhat description of the present invention and diagramatic content had been done is equal to replacement and apparent variation gainedThe scheme arriving, all should be included in protection scope of the present invention.

Claims (14)

1. a method of automatically collecting computer cluster nodal information and analyzing, its feature existsIn, comprise the following steps:
Step s1, obtains all nodal informations in computer cluster;
Step s2, stores described nodal information;
Step s3 obtains the node not detecting, according to corresponding from the described nodal information of storageDetection strategy described node is carried out redundancy analysis and generates an analysis result;
Step s4, the described step s3 that circulates is until all nodes complete redundancy analysis;
Step s5, has judged whether that according to described analysis result node exists single-point risk, and rawBecome a testing result.
2. one according to claim 1 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, step s3 is specific as follows:
Step s31, obtains the Platform Type of node to be detected;
Step s32, obtains the detection strategy corresponding with described Platform Type;
Step s33, utilizes detection strategy to treat detection node and carries out redundancy detection, and rawBecome analysis result.
3. one according to claim 2 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, the corresponding a kind of strategy that detects of each Platform Type, eachPlant detection strategy and comprise that at least one detects rule; In step s5, when detected node is discontented withWhen corresponding any one that detects strategy of foot detects rule, judge that detected node exists singlePoint risk.
4. one according to claim 1 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, after described step s2, before described step s5, goes backComprise step s6, according to a default topological relation, the node in described computer cluster is generatedOne nodal information Data-Link, the nodal information that described nodal information Data-Link comprises is by a figureGeneration unit generation system hardware structure figure.
5. one according to claim 4 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, step s6 is specific as follows:
Step s61, obtains the Platform Type of described node;
Step s62, obtains the topological relation corresponding with described Platform Type;
Step s63, the described topological relation of foundation forms the nodal information Data-Link of a tree structure,Be kept in the file of a setting form;
Step s64, described figure generation unit obtains the file of described setting form, and foundationThe nodal information comprising in the file of described setting form dynamically generates described system hardware frameworkFigure.
6. one according to claim 2 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, described detection strategy comprises system hardware redundancy detection strategy,The detection rule of described system hardware redundancy detection strategy comprises whether hardware is two hard disks and hardWhether whether dish has done mirror image, and/or be dual power supply, and/or whether dual power supply is connected to differenceUninterrupted power source.
7. one according to claim 2 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, described detection strategy comprises network link redundancy detection strategy,The detection rule of described network link redundancy detection strategy comprises whether being two network interface cards, and/or twoWhether network interface card has been connected in heterogeneous networks management equipment, and/or the network management connecting is establishedStandby whether redundancy.
8. one according to claim 2 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, described detection strategy comprises optical fiber link redundancy detection strategy,The detection rule of described optical fiber link redundancy detection strategy comprises whether being two host bus adaptationsDevice card; And/or whether two host bus adaptor cards have been connected to different fiber management equipmentOn; And/or whether redundancy of the fiber management equipment connecting.
9. one according to claim 2 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, described detection strategy comprises business application system redundancy detectionStrategy, the detection rule of described business application system redundancy detection strategy comprises core business applicationWhether system is present at least two main frames.
10. one according to claim 5 is collected computer cluster nodal information also automaticallyThe method of analyzing, is characterized in that, the file of described setting form adopts extend markup languageFormatted file, described nodal information Data-Link is kept in extend markup language formatted file.
11. 1 kinds of systems of automatically collecting computer cluster nodal information and analyzing, its feature existsIn,
Comprise,
Nodal information collection module, for obtaining the nodal information of computer cluster;
Nodal information memory module, is connected with described nodal information collection module, for storingState the nodal information that nodal information collection module is collected;
Redundancy analysis module, is connected with described nodal information memory module, according to what setDetect strategy node is carried out to redundancy analysis, and generate an analysis result.
12. one according to claim 11 are collected computer cluster nodal information automaticallyAnd the system of analyzing, it is characterized in that, described redundancy analysis module comprises a report generationUnit, for generating a redundancy analytical statement according to described analysis result, described redundancy letterBreath analytical statement at least comprises nodename and the inspection item that all inspections are failed.
13. one according to claim 11 are collected computer cluster nodal information automaticallyAnd the system of analyzing, it is characterized in that, also comprise, system hardware Schema information generation module,Be connected with described nodal information memory module, for according to default between computer cluster nodeTopological relation forms the nodal information Data-Link of a tree structure.
14. one according to claim 13 are collected computer cluster nodal information automaticallyAnd the system of analyzing, it is characterized in that, also comprise a figure generation unit, described figure generatesUnit is connected with described system hardware Schema information generation module, by obtaining described nodal informationThe nodal information generation system hardware structure figure that Data-Link comprises.
CN201410675299.0A 2014-11-21 2014-11-21 Method and system for automatically collecting and analyzing computer cluster node information Pending CN105681070A (en)

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