CN111708654A - Method and equipment for repairing virtual machine fault - Google Patents
Method and equipment for repairing virtual machine fault Download PDFInfo
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- CN111708654A CN111708654A CN202010478771.7A CN202010478771A CN111708654A CN 111708654 A CN111708654 A CN 111708654A CN 202010478771 A CN202010478771 A CN 202010478771A CN 111708654 A CN111708654 A CN 111708654A
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 230000008439 repair process Effects 0.000 claims abstract description 80
- 238000012423 maintenance Methods 0.000 claims abstract description 34
- 230000004044 response Effects 0.000 claims abstract description 8
- 238000004422 calculation algorithm Methods 0.000 claims description 14
- 238000012544 monitoring process Methods 0.000 claims description 11
- 238000010801 machine learning Methods 0.000 claims description 7
- 238000012549 training Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 5
- 238000004590 computer program Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0793—Remedial or corrective actions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0712—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a virtual computing platform, e.g. logically partitioned systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2468—Fuzzy queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
- G06F2201/815—Virtual
Abstract
The invention provides a method and equipment for repairing a virtual machine fault, wherein the method comprises the following steps: responding to the alarm information of the monitored virtual machine fault, and performing fuzzy retrieval on the alarm information in an alarm database; the alarm information is accurately matched with a plurality of repairing schemes obtained by fuzzy retrieval, and the repairing schemes obtained by accurate matching are used for repairing the virtual machine; marking the repair scheme obtained by accurate matching in response to successful repair of the virtual machine; and establishing a cache for the repair scheme with the mark. By using the scheme of the invention, the utilization rate and the service life of the virtual resources can be improved, the manual operation and maintenance cost and the equipment cost are reduced, and the productivity is improved.
Description
Technical Field
The field relates to the field of computers, and more particularly to a method and apparatus for virtual machine fault repair.
Background
In the current operation and maintenance situation, most of the operations and maintenance situations still stay in the stage of manual maintenance or software management, but specific faults are still checked and repaired manually. Due to the fact that the number of resources is large, the efficiency of manual maintenance is limited, the service life and the service efficiency of the resources are reduced, and the use cost of the resources is increased. Therefore, how to improve the maintenance efficiency of resources, the utilization rate of resources and the service life is a problem to be solved.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a device for repairing a virtual machine fault, which can improve the utilization rate and the service life of virtual resources, reduce the labor operation and maintenance cost and the device cost, and improve the productivity.
In view of the above, an aspect of the embodiments of the present invention provides a method for repairing a virtual machine failure, including the following steps:
responding to the alarm information of the monitored virtual machine fault, and performing fuzzy retrieval on the alarm information in an alarm database;
the alarm information is accurately matched with a plurality of repairing schemes obtained by fuzzy retrieval, and the repairing schemes obtained by accurate matching are used for repairing the virtual machine;
marking the repair scheme obtained by accurate matching in response to successful repair of the virtual machine;
and establishing a cache for the repair scheme with the mark.
According to an embodiment of the present invention, the accurately matching the alarm information with the plurality of repair schemes obtained by the fuzzy retrieval further includes:
and training different schemes obtained by fuzzy retrieval by using a machine learning algorithm to obtain a unique repairing scheme.
According to an embodiment of the present invention, further comprising:
and responding to the alarm information for monitoring the virtual machine fault, and sending the alarm information to operation and maintenance personnel.
According to an embodiment of the present invention, further comprising:
responding to the fact that the virtual machine cannot be repaired by the repair scheme obtained through accurate matching, and sending the repair scheme to operation and maintenance personnel for marking;
and after the virtual machine is repaired, uploading the corresponding repair scheme to an alarm database, and associating the corresponding repair scheme with the alarm information.
According to one embodiment of the invention, fuzzy retrieval is carried out based on the keywords of the alarm information, and accurate matching is association rule recommendation algorithm matching.
In another aspect of the embodiments of the present invention, there is also provided a device for repairing a virtual machine failure, where the device includes:
the retrieval module is configured to respond to the alarm information of the monitored virtual machine fault and carry out fuzzy retrieval on the alarm information in the alarm database;
the matching module is configured to accurately match the alarm information with a plurality of repair schemes obtained by fuzzy retrieval, and repair the virtual machine by using the repair schemes obtained by accurate matching;
the marking module is configured to mark the repair scheme obtained by accurate matching in response to successful repair of the virtual machine;
and the cache module is configured to establish a cache for the repair scheme with the mark.
According to an embodiment of the invention, the matching module is further configured to train the different solutions obtained by the fuzzy search with a machine learning algorithm to obtain a unique repairing solution.
According to an embodiment of the invention, the method further comprises a transmission module, and the transmission module is configured to respond to the alarm information for monitoring the virtual machine fault and send the alarm information to the operation and maintenance personnel.
According to an embodiment of the invention, the system further comprises an association module configured to:
responding to the fact that the virtual machine cannot be repaired by the repair scheme obtained through accurate matching, and sending the repair scheme to operation and maintenance personnel for marking;
after the operation and maintenance personnel repair the virtual machine, the corresponding repair scheme is uploaded to an alarm database, and the corresponding repair scheme is associated with the alarm information.
According to one embodiment of the invention, fuzzy retrieval is carried out based on the keywords of the alarm information, and accurate matching is association rule recommendation algorithm matching.
The invention has the following beneficial technical effects: according to the method for repairing the virtual machine fault, provided by the embodiment of the invention, the alarm information is subjected to fuzzy retrieval in the alarm database by responding to the alarm information for monitoring the virtual machine fault; the alarm information is accurately matched with a plurality of repairing schemes obtained by fuzzy retrieval, and the repairing schemes obtained by accurate matching are used for repairing the virtual machine; marking the repair scheme obtained by accurate matching in response to successful repair of the virtual machine; the technical scheme of establishing the cache for the restoration scheme with the marks can improve the utilization rate and the service life of the virtual resources, reduce the manual operation and maintenance cost and the equipment cost, and improve the production rate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a method of virtual machine failover in accordance with one embodiment of the present invention;
fig. 2 is a schematic diagram of a virtual machine failover apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
In view of the foregoing, a first aspect of the embodiments of the present invention provides an embodiment of a method for repairing a virtual machine failure. Fig. 1 shows a schematic flow diagram of the method.
As shown in fig. 1, the method may include the steps of:
s1 responding to the alarm information of the monitored virtual machine fault, carrying out fuzzy retrieval on the alarm information in an alarm database, carrying out automatic resource monitoring by operation and maintenance personnel through executing script timing tasks, mainly detecting the state of the virtual machine and the state of service running on the virtual machine, wherein the key of the fault automatic repair scheme is that the alarm is not directly reported after being put in storage, but the alarm repair scheme base is established in a database mode, and the database stores mass data by adopting SQL Server 2005;
s2, alarm information is accurately matched with a plurality of repair schemes obtained through fuzzy retrieval, the repair schemes obtained through the accurate matching are used for repairing the virtual machine, the problem of low retrieval efficiency can be encountered after the data volume of an alarm database is larger and larger, and the problem of the retrieval efficiency is directly related to the problem of whether alarm reporting is timely and the problem of the alarm repair efficiency, so that the improvement of the retrieval efficiency needs to be improved by establishing a wide index, the schemes are retrieved through fuzzy query, and an execution scheme is finally determined through an accurate matching method;
s3, responding to the successful repair of the virtual machine, marking the repair scheme obtained by accurate matching;
s4 is used for establishing a cache for the repair scheme with the mark, so that the retrieval efficiency can be better improved.
The invention comprises resource monitoring, resource repairing and information feedback. The operation and maintenance personnel can uniformly check and operate the resources through the management platform. For the problems of faults, alarms and the like generated in the running process of the virtual resources, operation and maintenance personnel can know the problems at the first time through the management platform. For part of fault reasons, the management platform reports information to operation and maintenance personnel and simultaneously triggers an automatic repair function to actively repair resources.
By the technical scheme, the utilization rate of virtual resources can be improved, the service life of the virtual resources can be prolonged, the manual operation and maintenance cost and the equipment cost can be reduced, and the productivity can be improved.
In a preferred embodiment of the present invention, the accurately matching the alarm information with the plurality of repair schemes obtained by the fuzzy retrieval further includes:
and training different schemes obtained by fuzzy retrieval by using a machine learning algorithm to obtain a unique repairing scheme.
By means of establishing an alarm database, operation and maintenance operations are continuously accumulated, a scheme for restoring the service to be normal after execution is marked, the priority of the scheme is reduced, and the problem that the scheme is infeasible to execute when the same problem occurs next time is avoided. And training the different inquired schemes by using a machine learning algorithm, wherein the training process needs to be carried out in an environment of deviating from formal business. Namely, the training in the test environment finally achieves the following effects: each solution in the alarm repair solution library uniquely corresponds to a problem and is the optimal repair solution of the problem. After the effect is achieved, the alarm repair scheme library is led into the service of normal operation and maintenance, and automatic operation and maintenance are realized.
In a preferred embodiment of the present invention, the method further comprises:
and responding to the alarm information for monitoring the virtual machine fault, and sending the alarm information to operation and maintenance personnel. The operation and maintenance personnel need to know the alarm condition at the first time and monitor the subsequent repair condition.
In a preferred embodiment of the present invention, the method further comprises:
responding to the fact that the virtual machine cannot be repaired by the repair scheme obtained through accurate matching, and sending the repair scheme to operation and maintenance personnel for marking;
and after the virtual machine is repaired, uploading the corresponding repair scheme to an alarm database, and associating the corresponding repair scheme with the alarm information. For the condition that the alarm can not be found in the alarm repair scheme library, the system can report the alarm to an operation and maintenance worker and mark the alarm, and the purpose of marking is to improve the retrieval efficiency when the same alarm is met next time, so that the alarm report is more timely and accurate. After the scheme is realized by operation and maintenance personnel, the scheme can be recorded into an alarm repair scheme library.
In a preferred embodiment of the invention, fuzzy search is performed based on keywords of the alarm information.
Taking a disk over-threshold alarm of the virtual machine as an example, after the alarm is triggered after the disk of the virtual machine exceeds the threshold, the alarm is stored in a database, and meanwhile, fuzzy query is carried out in an alarm recovery scheme library according to a 'disk over-threshold' keyword. And directly reporting an alarm to operation and maintenance personnel if the result is null after fuzzy query according to the keywords. And if the result is single, generating an executable instruction of the scheme for automatic repair. If there are multiple results, the queried multiple results can be processed and sorted by using Association Rule Based recommendation algorithm (Association Rule Based recommendation algorithm). The association rule is to find out the association between data by mining and analyzing the data. Firstly, all matched data of the 'magnetic disk over-threshold value' are found out and analyzed, and the association rule support degree is calculated. And calculating the confidence of the association rule after the association is obtained. And finally, analyzing the promotion degree of the association rule, and finally judging whether the recommendation effect of the association rule is based on the promotion degree of the association rule, wherein the promotion degree depends on whether the scheme is executable or not and whether the service result is recovered or not after the scheme is executed.
By the technical scheme, the utilization rate of virtual resources can be improved, the service life of the virtual resources can be prolonged, the manual operation and maintenance cost and the equipment cost can be reduced, and the productivity can be improved.
It should be noted that, as will be understood by those skilled in the art, all or part of the processes in the methods of the above embodiments may be implemented by instructing relevant hardware through a computer program, and the above programs may be stored in a computer-readable storage medium, and when executed, the programs may include the processes of the embodiments of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. The embodiments of the computer program may achieve the same or similar effects as any of the above-described method embodiments.
Furthermore, the method disclosed according to an embodiment of the present invention may also be implemented as a computer program executed by a CPU, and the computer program may be stored in a computer-readable storage medium. The computer program, when executed by the CPU, performs the above-described functions defined in the method disclosed in the embodiments of the present invention.
In view of the above object, according to a second aspect of the embodiments of the present invention, there is provided an apparatus for repairing a virtual machine failure, as shown in fig. 2, the apparatus 200 includes:
the retrieval module is configured to respond to the alarm information of the monitored virtual machine fault and carry out fuzzy retrieval on the alarm information in the alarm database;
the matching module is configured to accurately match the alarm information with a plurality of repair schemes obtained by fuzzy retrieval, and repair the virtual machine by using the repair schemes obtained by accurate matching;
the marking module is configured to mark the repair scheme obtained by accurate matching in response to successful repair of the virtual machine;
and the cache module is configured to establish a cache for the repair scheme with the mark.
In a preferred embodiment of the present invention, the matching module is further configured to train the different solutions obtained by the fuzzy search with a machine learning algorithm to obtain a unique repairing solution.
In a preferred embodiment of the present invention, the virtual machine monitoring system further includes a transmission module, and the transmission module is configured to send alarm information to the operation and maintenance personnel in response to the alarm information for monitoring the virtual machine fault.
In a preferred embodiment of the present invention, the system further comprises an association module configured to:
responding to the fact that the virtual machine cannot be repaired by the repair scheme obtained through accurate matching, and sending the repair scheme to operation and maintenance personnel for marking;
and after the virtual machine is repaired, uploading the corresponding repair scheme to an alarm database, and associating the corresponding repair scheme with the alarm information.
In a preferred embodiment of the invention, fuzzy search is performed based on keywords of the alarm information.
It should be particularly noted that the embodiment of the system described above employs the embodiment of the method described above to specifically describe the working process of each module, and those skilled in the art can easily think that the modules are applied to other embodiments of the method described above.
Further, the above-described method steps and system elements or modules may also be implemented using a controller and a computer-readable storage medium for storing a computer program for causing the controller to implement the functions of the above-described steps or elements or modules.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments of the present invention.
The embodiments described above, particularly any "preferred" embodiments, are possible examples of implementations and are presented merely to clearly understand the principles of the invention. Many variations and modifications may be made to the above-described embodiments without departing from the spirit and principles of the technology described herein. All such modifications are intended to be included within the scope of this disclosure and protected by the following claims.
Claims (10)
1. A method for repairing a virtual machine fault is characterized by comprising the following steps:
responding to the alarm information of the virtual machine fault, and carrying out fuzzy retrieval on the alarm information in an alarm database;
accurately matching the alarm information with a plurality of repair schemes obtained by the fuzzy retrieval, and repairing the virtual machine by using the repair schemes obtained by the accurate matching;
responding to the successful repair of the virtual machine, and marking the repair scheme obtained by the accurate matching;
and establishing a cache for the repair scheme with the mark.
2. The method of claim 1, wherein the accurately matching the alarm information with the plurality of repair solutions obtained by the fuzzy retrieval further comprises:
and training different schemes obtained by the fuzzy retrieval by utilizing a machine learning algorithm to obtain a unique repairing scheme.
3. The method of claim 1, further comprising:
and responding to the alarm information for monitoring the virtual machine fault, and sending the alarm information to operation and maintenance personnel.
4. The method of claim 1, further comprising:
responding to the fact that the virtual machine cannot be repaired by the repair scheme obtained through accurate matching, and sending the repair scheme to the operation and maintenance personnel and marking the repair scheme;
and after the virtual machine is repaired, uploading the corresponding repair scheme to the alarm database, and associating the corresponding repair scheme with alarm information.
5. The method according to claim 1, characterized in that fuzzy search is performed based on keywords of the alarm information, and the precise matching is association rule recommendation algorithm matching.
6. An apparatus for virtual machine failover, the apparatus comprising:
the retrieval module is configured to respond to alarm information of monitoring the virtual machine fault and carry out fuzzy retrieval on the alarm information in an alarm database;
the matching module is configured to accurately match the alarm information with a plurality of repair schemes obtained by the fuzzy retrieval, and repair the virtual machine by using the repair schemes obtained by the accurate matching;
the marking module is configured to mark the repair scheme obtained by the accurate matching in response to the successful repair of the virtual machine;
a cache module configured to establish a cache for the repair solution with the tag.
7. The device of claim 6, wherein the matching module is further configured to train the different solutions obtained by the fuzzy search using a machine learning algorithm to obtain a unique repair solution.
8. The device of claim 6, further comprising a transmission module configured to send alarm information to operation and maintenance personnel in response to monitoring the virtual machine for failure.
9. The device of claim 6, further comprising an association module configured to:
responding to the fact that the virtual machine cannot be repaired by the repair scheme obtained through accurate matching, and sending the repair scheme to the operation and maintenance personnel and marking the repair scheme;
and after the virtual machine is repaired, uploading the corresponding repair scheme to the alarm database, and associating the corresponding repair scheme with alarm information.
10. The device of claim 6, wherein fuzzy search is performed based on keywords of the alarm information, and the precise matching is association rule recommendation algorithm matching.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010478771.7A CN111708654A (en) | 2020-05-29 | 2020-05-29 | Method and equipment for repairing virtual machine fault |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010478771.7A CN111708654A (en) | 2020-05-29 | 2020-05-29 | Method and equipment for repairing virtual machine fault |
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| CN111708654A true CN111708654A (en) | 2020-09-25 |
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| CN202010478771.7A Withdrawn CN111708654A (en) | 2020-05-29 | 2020-05-29 | Method and equipment for repairing virtual machine fault |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112816240A (en) * | 2021-02-20 | 2021-05-18 | 格力电器（合肥）有限公司 | Fault identification method, device, equipment and storage medium of heating and ventilation equipment |
| CN113179180A (en) * | 2021-04-23 | 2021-07-27 | 杭州安恒信息技术股份有限公司 | Basalt client disaster fault repairing method, basalt client disaster fault repairing device and basalt client disaster storage medium |
-
2020
- 2020-05-29 CN CN202010478771.7A patent/CN111708654A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112816240A (en) * | 2021-02-20 | 2021-05-18 | 格力电器（合肥）有限公司 | Fault identification method, device, equipment and storage medium of heating and ventilation equipment |
| CN112816240B (en) * | 2021-02-20 | 2023-08-15 | 格力电器（合肥）有限公司 | Fault identification method, device, equipment and storage medium of heating and ventilation equipment |
| CN113179180A (en) * | 2021-04-23 | 2021-07-27 | 杭州安恒信息技术股份有限公司 | Basalt client disaster fault repairing method, basalt client disaster fault repairing device and basalt client disaster storage medium |
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