CN114443218A - Desktop cloud fault repairing method and system - Google Patents
Desktop cloud fault repairing method and system Download PDFInfo
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- CN114443218A CN114443218A CN202111620051.0A CN202111620051A CN114443218A CN 114443218 A CN114443218 A CN 114443218A CN 202111620051 A CN202111620051 A CN 202111620051A CN 114443218 A CN114443218 A CN 114443218A
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
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Abstract
The invention discloses a desktop cloud fault repairing method and system. The method comprises the following steps: 1) acquiring a reported fault work order; 2) shooting a snapshot of a fault virtual machine; 3) inquiring the operation parameters of the fault virtual machine; 4) calculating the similarity between the fault virtual machine and the repaired virtual machine; 5) acquiring a candidate fault repairing script list; 6) carrying out fault repair; 7) confirming whether the fault is successfully modified, if not, recovering the snapshot and continuously using the virtual machine repair script from high to low to repair the fault; 8) and if the virtual machine repair script cannot repair the fault, entering a manual repair state, and recording the manual repair step as a new virtual machine repair script. The invention carries out fault repair through the virtual machine repair script on the basis of keeping personal data, so that the fault virtual machine can find the closest solution, the fault troubleshooting and repairing processes are reduced, and the virtual machine repair efficiency is improved.
Description
Technical Field
The invention belongs to IT and software development, relates to the field of desktop cloud, and particularly relates to a desktop cloud fault repairing method and system.
Background
The desktop cloud service has rapid provisioning and deployment capabilities, allowing users to use it as needed. In the desktop cloud, a user installs configuration software as required and stores own data.
The Chinese patent application (202010275997.7) discloses a resource matrix type elastic computing desktop cloud system, wherein a root cloud server, a front cloud server and a user terminal are distributed to elastically bear three resource responsibilities of management, storage and computing of the whole cloud system, the topological structure is a multi-level hierarchical structure of the root cloud server, the front secondary cloud server and the cloud terminal, a management default strategy is arranged on the root node S, partial management capacity is put down on each front node M or the terminal C, computing can be carried out on any one or a combination of the three or more of the root cloud server, the front secondary cloud server and the cloud terminal, computing can be carried out on a computing point close to a user by default, and storage can be carried out on any one or a combination of the three or more of the root cloud server, the front cloud server and the user terminal. The resource matrix type elastic computing desktop cloud system can adapt to different application fields, the IDV technology and the VDI technology are deeply fused at the core, and the peripheral access layer can support comprehensive access of various cloud desktop technologies.
The invention patent application (202110530847.0) in China discloses an intelligent multi-architecture fusion type safe desktop cloud system which is based on an autonomous controllable, safe and reliable spread, dragon/mega core, fly and kylin chip processor, a domestic operating system multi-architecture fusion type autonomous controllable cloud computing platform and a centralized control off-line vocational education and office information system. The system comprises a quantum security desktop cloud terminal unit or a desktop cloud terminal unit, a cloud resource pool unit, a cloud management platform unit and a security authentication auditing mechanism unit. Has the advantages that: the system integrates and unifies VDI, IDV and VOI mirror images, and introduces an RDS mode, so that the problem that different hardware configurations of various user scenes in different industry fields start appropriate cloud desktops is solved, and the resource waste of customers is reduced. Meanwhile, according to the hardware configuration of the user, the appropriate cloud desktop is automatically allocated, the user does not need to think which kind of cloud desktop is used instead, time and labor are saved for the user, and resources are saved. And the stability of cloud desktop connection is improved, and the user experience can be effectively improved.
However, the user is liable to various errors using the application software. Because the user own data cannot be deleted easily, operation and maintenance personnel need to spend a large amount of time for troubleshooting each desktop cloud, a large amount of time is needed, the manual maintenance cost is high, and the troubleshooting and repairing efficiency is low.
Disclosure of Invention
The invention aims to provide a desktop cloud fault repairing method and system aiming at the problems that the existing desktop cloud system maintenance mainly depends on manual entering of a virtual machine operating system for debugging and fault troubleshooting, the time spent is long, and the manual maintenance cost required to be spent is high. The invention carries out fault repair through the virtual machine repair script on the basis of keeping personal data, so that the fault virtual machine can find the closest solution, the fault troubleshooting and repairing processes are reduced, and the virtual machine repair efficiency is improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
a desktop cloud fault repairing method comprises the following steps:
1) acquiring a reported fault work order;
2) shooting a snapshot of a fault virtual machine;
3) inquiring the operation parameters of the fault virtual machine;
4) calculating the similarity between the fault virtual machine and the repaired virtual machine according to the fault reporting information and the operation parameters;
5) acquiring a candidate fault repairing script list according to the similarity between the fault virtual machine and the repaired virtual machine, wherein the larger the similarity is, the higher the sequence of the corresponding candidate fault script in the fault repairing list is;
6) selecting the virtual machine repair script with the highest ranking in the candidate fault repair script list for fault repair;
7) confirming whether the fault is successfully modified, if not, recovering the snapshot and continuously using the virtual machine repair script from high to low to repair the fault;
8) and if the virtual machine repair script cannot repair the fault, entering a manual repair state, and recording the manual repair step as a new virtual machine repair script.
As a further preferable limitation of the present invention, in step 2), if the failed virtual machine is a desktop cloud generated by a KVM, the snapshot is taken through libvirt.
As a further preferable limitation of the present invention, in step 3), if the failed virtual machine is a desktop cloud generated by a KVM, the operating parameter is queried through psutil.
As a further preferable limitation of the present invention, the operation parameters include an operating system, a process, a total CPU, a total memory, and a total disk utilization.
As a further preferred limitation of the present invention, the similarity R between the failed virtual machine and the repaired virtual machinejThe calculation formula is as follows:
wherein A iskIs the k attribute of the failed virtual machine; b isj,kThe k attribute of the repaired virtual machine of the jth station; sim (A)k,Bj,k) Is A of a failed virtual machinekAttribute and kth attribute B of jth repaired virtual machinej,kCosine similarity of (d); and n is the number of the attributes of the virtual machine.
The virtual machine attributes comprise n attributes such as virtual machine ID, fault components, frequency, fault phenomena, repair time, operation parameters (operating system, process, thread, name and type of the thread, CPU, memory and disk occupation) and the like.
As a further preferable limitation of the present invention, in step 6), the ansable script is executed to implement virtual machine fault recovery.
The invention also provides a desktop cloud fault repairing system, so that the desktop cloud fault repairing method is realized; the system comprises an acquisition module, a snapshot module, a query module, a calculation module, a script module, a repair module, a confirmation module, a recovery module and a manual module.
The acquisition module is used for acquiring the reported fault work order;
the snapshot module is used for shooting a snapshot of the fault virtual machine;
the query module is used for querying the operating parameters of the fault virtual machine;
the computing module is used for computing the similarity between the fault virtual machine and the repaired virtual machine according to the fault reporting information and the operation parameters;
the script module is used for acquiring a candidate fault repairing script list according to the similarity between the fault virtual machine and the repaired virtual machine;
the repair module is used for selecting a virtual machine repair script from high to low according to the similarity to repair the fault;
the confirming module is used for confirming whether the fault is successfully modified;
and the recovery module is used for recovering the snapshot if the repair is unsuccessful.
And the manual module is used for entering a manual repair state if the virtual machine repair script cannot repair the fault, and recording the manual repair step as a new virtual machine repair script.
The invention has the advantages that:
according to the method, the fault is repaired through the virtual machine repairing script on the basis of keeping personal data, so that the fault virtual machine can find the closest solution, the fault troubleshooting and repairing processes are reduced, and the virtual machine repairing efficiency is improved; the problems that the existing desktop cloud system maintenance mainly depends on manual work to enter a virtual machine operating system for debugging and troubleshooting, the time spent is long, and the manual maintenance cost required to be consumed is high are effectively solved.
Drawings
FIG. 1 is a flow chart of a desktop cloud fault remediation method of the present invention.
FIG. 2 is a schematic diagram of a model framework of the desktop cloud fault remediation system of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Example 1:
a desktop cloud fault repairing method comprises the following steps:
s110: acquiring a reported fault work order;
s120: shooting a snapshot of a fault virtual machine;
specifically, the number of the fault virtual machine on the fault work order is obtained, and a snapshot corresponding to the fault virtual machine is shot according to the number of the fault virtual machine.
By shooting the virtual machine snapshot, the original state can be quickly recovered when the automatic fault modification is unsuccessful, so that the problem that the environment is changed due to the repair script when the repair is unsuccessful is solved.
S130: acquiring a candidate fault repairing script list;
specifically, the method comprises the following steps:
s131: calculating the similarity between the fault virtual machine and the repaired virtual machine according to the fault reporting information and the operation parameters;
s132: acquiring a candidate fault repairing script list according to the similarity between the fault virtual machine and the repaired virtual machine, wherein the larger the similarity is, the higher the sequence of the corresponding candidate fault script in the fault repairing list is;
and through similarity calculation, the repaired virtual machine with the highest similarity is quickly found, so that a candidate fault script which is most likely to correctly repair the fault can be found.
S140: selecting a virtual machine repair script in the candidate fault repair script list for fault repair;
specifically, the method comprises the following steps:
s141: selecting a virtual machine repair script with the highest ranking in the candidate fault repair script list;
s142: using the virtual machine repair script with the highest ranking to repair the fault;
by selecting the highest ranked virtual machine repair script, the likelihood of the fault being repaired correctly can be maximized.
The recorded candidate fault repairing script is used for fault repairing, so that the manual repairing time can be shortened, the maintenance cost is low, and the recovery speed is high.
S150: confirming whether the fault is successfully modified, if not, recovering the snapshot and continuously using the virtual machine repair script from high to low to repair the fault;
s160: and if the virtual machine repair script cannot repair the fault, entering a manual repair state, and recording the manual repair step as a new virtual machine repair script.
Manual repair is started when the automatic repair is unsuccessful, and the fault is favorably processed manually when the existing repair script does not have a corresponding repair strategy; the method has the advantages that the manual repair steps are recorded to the new virtual machine repair script, so that the recording of the repair script is more convenient, and various fault types occurring in actual production can be dealt with.
Part of program codes of the desktop cloud fault repairing method in the implementation are as follows:
s110: acquiring a reported fault work order;
for example, the trouble order information includes:
trouble ticket
{id:xxx；
vmid:vm12；
Device:internet explorer；
user:201723209；
Freq:12/h
Desc, IE browser is very slow and crashed after being opened;
Time:2021-9-20 9:40:36；
……}
s120: shooting a snapshot of a fault virtual machine;
if the desktop cloud is generated by the KVM, the snapshot may be taken by libvirt:
conn＝libvirt.open("qemu:///system")
dom＝conn.lookupByName('vm12')
dom.snapshotCreateXML(snapshotXML)；
s130: inquiring the operation parameters of the fault virtual machine;
if the desktop cloud is a virtual machine generated for a KVM, the operating parameters may be queried via psutil
(iii) pictures, processes, clocks, cpu _ times, clocks virtual _ memory, disk _ use, and disk _ io _ counters
The operating parameters include: operating system, process (state, memory, disk, CPU occupancy, GPU) and total CPU, total memory, total disk utilization;
and (4) process threads:
{
pid:xxx；pidname:ie；cpu:70％；Memory:25％；disk:0.1MB/s；
……
}
s140: calculating the similarity between the fault virtual machine and the repaired virtual machine according to the fault reporting information and the operation parameters;
similarity R of the fault virtual machine and the repaired virtual machinejThe calculation formula is as follows:
wherein A iskThe k attribute of the virtual machine is a fault; bj,kThe k attribute of the repaired virtual machine of the jth station; sim (A)k,Bj,k) A for a failed virtual machinekAttribute and kth attribute B of jth repaired virtual machinej,kCosine similarity of (d); and n is the number of the attributes of the virtual machine.
The process (state, memory, disk, CPU occupation, GPU) similarity of the fault virtual machine and the repaired virtual machine is calculated through cosine similarity between attributes of the processes.
S150: acquiring a candidate fault repairing script list according to the similarity between the fault virtual machine and the repaired virtual machine, wherein the larger the similarity is, the higher the sequence of the corresponding candidate fault script in the fault repairing list is;
and (3) similarity comparison:
R53>R19>R91>……
repaired virtual machine list
{ ID: xxx, # Fault ID
vmid 53, # virtual machine number in the failover List
playBookId:654；
…}
In the same way, R19 corresponds to a playBookId of 21, and R91 corresponds to a playBookId of 154 … …
Script list
{playBookId:654,
os:windows 10,
software:internet explorer,
remarks, exporting favorites, uninstalling IE, reinstalling IE, importing favorites,
Address:‘/ansbile/playbook/playbook654.yml’；
……}
candidate failover script list
{654；21；154……}
S160: selecting the virtual machine repair script with the highest ranking in the candidate fault repair script list for fault repair;
for example, virtual machine fault repair is realized by executing recorded ansible script
ansible-playbook/ansbile/playbook/playbook654.yml。
S170: confirming whether the fault is successfully modified, if not, recovering the snapshot and continuously using the virtual machine repair script from high to low to repair the fault;
snapshot recovery via libvirt
virsh snapshot-revert snapshotXML
Then, the next script is used for recovery according to the sequence from high to low
ansible-playbook/ansbile/playbook/playbook21.yml
……
S180: and if the virtual machine repair script cannot repair the fault, entering a manual repair state, and recording the manual repair step as a new virtual machine repair script.
Example 2:
a desktop cloud fault repairing system is a system applying the desktop cloud fault repairing method; as shown in fig. 2, the system comprises an acquisition module, a snapshot module, a query module, a calculation module, a script module, a repair module, a confirmation module, a recovery module and a manual module.
The acquisition module is used for acquiring the reported fault work order;
the snapshot module is used for shooting a snapshot of the fault virtual machine;
the query module is used for querying the operation parameters of the fault virtual machine;
the computing module is used for computing the similarity between the fault virtual machine and the repaired virtual machine according to the fault reporting information and the operation parameters;
the script module is used for acquiring a candidate fault repairing script list according to the similarity between the fault virtual machine and the repaired virtual machine;
the repair module is used for selecting a virtual machine repair script from high to low according to the similarity to repair the fault;
the confirming module is used for confirming whether the fault is successfully modified;
and the recovery module is used for recovering the snapshot if the repair is unsuccessful.
And the manual module is used for entering a manual repair state if the virtual machine repair script cannot repair the fault, and recording the manual repair step as a new virtual machine repair script.
It should be understood that the above-described embodiments are merely examples for clearly illustrating the present invention and are not intended to limit the practice of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description; this is not necessary, nor exhaustive, of all embodiments; and obvious variations or modifications of the invention may be made without departing from the scope of the invention.
Claims (7)
1. A desktop cloud fault repairing method is characterized by comprising the following steps:
1) acquiring a reported fault work order;
2) shooting a snapshot of a fault virtual machine;
3) inquiring the operation parameters of the fault virtual machine;
4) calculating the similarity between the fault virtual machine and the repaired virtual machine according to the fault reporting information and the operation parameters;
5) acquiring a candidate fault repairing script list according to the similarity between the fault virtual machine and the repaired virtual machine, wherein the larger the similarity is, the higher the sequence of the corresponding candidate fault script in the fault repairing list is;
6) selecting the virtual machine repair script with the highest ranking in the candidate fault repair script list to perform fault repair;
7) confirming whether the fault is successfully modified, if not, recovering the snapshot and continuously using the virtual machine repair script from high to low to repair the fault;
8) and if the virtual machine repair script cannot repair the fault, entering a manual repair state, and recording the manual repair step as a new virtual machine repair script.
2. The desktop cloud fault remediation method of claim 1, wherein: in the step 2), if the failed virtual machine is a desktop cloud generated by the KVM, taking a snapshot through libvirt.
3. The desktop cloud fault remediation method of claim 1, wherein: in the step 3), if the fault virtual machine is a desktop cloud generated by the KVM, querying an operation parameter through the psutil.
4. The desktop cloud fault remediation method of claim 3, wherein: the operation parameters comprise an operating system, a process, a total CPU, a total memory and a total disk utilization rate.
5. The desktop cloud fault remediation method of claim 1, wherein: similarity R of the fault virtual machine and the repaired virtual machinejThe calculation formula is as follows:
wherein A iskIs the k attribute of the failed virtual machine; b isj,kThe k attribute of the repaired virtual machine of the jth station; sim (A)k,Bj,k) Is A of a failed virtual machinekAttribute and kth attribute B of jth repaired virtual machinej,kCosine similarity of (d); and n is the number of the attributes of the virtual machine.
6. The desktop cloud fault remediation method of claim 1, wherein: and 6) running the recorded ansable script through the ansable to realize the fault repair of the virtual machine.
7. A desktop cloud fault repair system, which is a system applying the desktop cloud fault repair method according to claims 1-6; the method is characterized in that: the system comprises an acquisition module, a snapshot module, a query module, a calculation module, a script module, a repair module, a confirmation module, a recovery module and a manual module;
the acquisition module is used for acquiring the reported fault work order;
the snapshot module is used for shooting a snapshot of the fault virtual machine;
the query module is used for querying the operation parameters of the fault virtual machine;
the computing module is used for computing the similarity between the fault virtual machine and the repaired virtual machine according to the fault reporting information and the operation parameters;
the script module is used for acquiring a candidate fault repairing script list according to the similarity between the fault virtual machine and the repaired virtual machine;
the repair module is used for selecting a virtual machine repair script from high to low according to the similarity to repair the fault;
the confirming module is used for confirming whether the fault is successfully modified;
and the recovery module is used for recovering the snapshot if the repair is unsuccessful.
And the manual module is used for entering a manual repair state if the virtual machine repair script cannot repair the fault, and recording the manual repair step as a new virtual machine repair script.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115801252A (en) * | 2023-01-31 | 2023-03-14 | 江苏微知量子科技有限公司 | Safe cloud desktop system combined with quantum encryption technology |
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2021
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115801252A (en) * | 2023-01-31 | 2023-03-14 | 江苏微知量子科技有限公司 | Safe cloud desktop system combined with quantum encryption technology |
| CN115801252B (en) * | 2023-01-31 | 2023-04-14 | 江苏微知量子科技有限公司 | Safe cloud desktop system combined with quantum encryption technology |
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