CN116401009A - Intelligent management system based on kvm virtualization - Google Patents
Intelligent management system based on kvm virtualization Download PDFInfo
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- G06F9/00—Arrangements for program control, e.g. control units
- 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
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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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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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- 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
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- G06F2009/4557—Distribution of virtual machine instances; Migration and load balancing
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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
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- G06F2009/45583—Memory management, e.g. access or allocation
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- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to an intelligent management system based on kvm virtualization, in particular to the technical field of virtualization, which comprises the following components: the data acquisition unit acquires an instruction sent by the system, the resource data quantity in the instruction and the capacity of the central processing unit; the data operation unit determines the resource data amount in the instruction, the maximum memory capacity and the minimum memory capacity allowed to be carried and the memory capacity of the virtual machine; the fault processing unit determines fault data acquired by the data acquisition unit and determines the highest fault processing level allowed by the fault data so as to judge whether to process the fault data; the logic control unit determines the sensitive information data amount in the instruction, the maximum sensitive information data amount and the minimum sensitive information data amount which are allowed to be carried, and determines the adjustment mode of the memory capacity of the virtual machine; the data migration unit judges the migration mode of the resource data amount and migrates the resource data to other server nodes, so that the operation efficiency of the system is improved.
Description
Technical Field
The invention relates to the technical field of virtualization, in particular to an intelligent management system based on kvm virtualization.
Background
Along with the rapid development of informatization, the on-line practical training platform breaks the limitations of the traditional practical training in time, space, content and the like by adopting a server virtual technology, courseware systemization and modularized design technology, and can meet the requirements of common network safety on-line practical training and attack and defense training, but most practical training platforms can only open the simulated operating system of the dock container, or respectively open the simulated operating system of the dock container and the kvm simulated operating system, and cannot integrate corresponding hardware resources in a large-scale distributed system, so that unified intelligent scheduling cannot be realized.
Chinese patent publication No.: CN111443955a discloses a network device training platform supporting heterogeneous network devices, which comprises a server, network devices and control devices, wherein the server provides a set of convenient and reliable programming interfaces for code optimization and instruction encapsulation based on open source Kvm, and realizes a virtual machine with abstract resources such as network, hardware, operating system and the like; therefore, the network equipment training platform supporting the heterogeneous network equipment has the problem that the running process is not accurately controlled, so that the running efficiency of the system is low.
Disclosure of Invention
Therefore, the invention provides an intelligent management system based on kvm virtualization, which is used for solving the problem of lower platform operation efficiency in the prior art.
To achieve the above object, the present invention provides an intelligent management system based on kvm virtualization, including:
the data acquisition unit is used for acquiring the instruction sent by the system, the resource data quantity in the instruction and the capacity of the central processing unit;
the data operation unit is connected with the data acquisition unit and is used for determining the resource data amount in the instruction acquired by the data acquisition unit, allowing the maximum memory capacity and the minimum memory capacity to be carried and determining the memory capacity of the virtual machine;
the fault processing unit is respectively connected with the data acquisition unit and the data operation unit and is used for determining fault data acquired by the data acquisition unit and determining the highest fault processing level allowed by the current fault data so as to judge whether to process the fault data;
the logic control unit is respectively connected with the data acquisition unit and the data operation unit and is used for determining the sensitive information data amount in the instruction acquired by the data acquisition unit, the maximum sensitive information data amount and the minimum sensitive information data amount which are allowed to be carried, and judging the adjustment mode of the memory capacity of the virtual machine;
the data migration unit is respectively connected with the logic control unit and the fault processing unit and is used for judging a migration quantity determination mode of quantity migration of the resource data quantity and migrating the resource data to other server nodes;
the data operation unit determines the resource data amount in the instruction acquired by the data acquisition unit so as to determine the processing mode of the resource data amount or the virtual machine, wherein the current resource data amount corresponds to the maximum memory capacity and the minimum memory capacity which the virtual machine is allowed to bear.
Further, the logic control unit determines the sensitive information data amount in the instruction according to the instruction sent by the system, the current sensitive information data amount corresponds to the minimum sensitive information data amount allowed to be carried by the virtual machine, and determines whether to open the virtual machine according to the comparison result of the current sensitive information data amount and the minimum sensitive information data amount allowed to be carried by the corresponding virtual machine.
Further, the data operation unit determines the minimum memory capacity and the maximum memory capacity of the virtual machine according to the capacity of the central processing unit acquired by the data acquisition unit.
Further, the data operation unit determines the resource data amount in the instruction acquired by the data acquisition unit, the current resource data amount corresponds to the maximum memory capacity and the minimum memory capacity allowed to be carried by the virtual machine, and the resource data amount is determined to be distributed to the cluster server according to the comparison result of the current resource data amount and the maximum memory capacity and the minimum memory capacity allowed to be carried by the virtual machine, or the memory capacity of the virtual machine is regulated, or the resource data amount in the instruction content is migrated.
Further, an adjustment mode for the memory capacity of the virtual machine under the second resource data amount is set in the logic control unit, so that the memory capacity is adjusted to the memory capacity corresponding to the adjustment mode.
Further, the logic control unit determines to select an adjustment mode for increasing the memory capacity according to a difference value between the resource data amount and the minimum memory capacity allowed to be carried by the virtual machine currently when the memory capacity of the virtual machine is in the second resource data amount.
Further, the data migration unit is further provided with a migration mode of the resource data amount under the third resource data amount, so as to determine the quantity of the resource data amount migrated to the server.
Further, the data migration unit determines the number of migrated servers according to the difference value between the resource data volume and the maximum memory capacity allowed to be carried by the virtual machine currently when the memory capacity of the virtual machine is in the second resource data volume.
Further, the fault processing unit determines the fault data acquired by the data acquisition unit under the first resource data amount, the current fault data corresponds to the highest fault processing level allowed to be processed, and whether to process the fault is judged according to the comparison result of the current fault data and the highest fault processing level allowed to be processed.
Further, the data migration unit migrates the resource data to other server nodes at a failure data level.
Compared with the prior art, the method has the beneficial effects that the minimum memory capacity and the maximum memory capacity of the created virtual machine are calculated by acquiring the capacity of the central processing unit, the resource data amount in the acquired instruction is compared with the minimum memory capacity and the maximum memory capacity of the virtual machine, and the adjustment mode of the virtual machine is determined according to the comparison result, so that the running efficiency of the system is further improved;
particularly, when the memory capacity of the virtual machine is determined to be adjusted, the memory capacity of the virtual machine is corrected according to the comparison result by calculating the difference value between the resource data amount and the minimum memory capacity and comparing the difference value with the preset capacity excessively small difference value, so that the memory of the virtual machine is increased under the condition that the maximum memory capacity of the virtual machine is not exceeded, the resource data can be stably operated, and the operation efficiency of the system is further improved;
particularly, when the resource data amount of the instruction content is determined to be migrated, the difference value between the resource data amount and the maximum memory capacity is calculated, the difference value is compared with the preset capacity overlarge difference value, and the data amount to be migrated of the resource data amount and the server to be migrated are determined according to the comparison result, so that the running efficiency of the system is further improved.
Further, the invention acquires fault data when faults occur by monitoring hardware resources in real time, compares the fault data with the highest fault level which is allowed to be processed corresponding to the current fault data to judge whether the fault data can be processed, and transfers the resource data to other server nodes when the fault data can be processed at a first fault data level, and restarts the virtual machine when the fault data cannot be processed at a second fault data level, thereby further improving the operation efficiency of the system.
Drawings
FIG. 1 is a logical block diagram of a kvm virtualization-based intelligent management system according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, fig. 1 is a logic block diagram of an intelligent management system based on kvm virtualization according to the present invention.
In an embodiment of the present invention, an intelligent management system based on kvm virtualization includes:
the data acquisition unit is used for acquiring the instruction sent by the system, the resource data quantity in the instruction and the capacity of the central processing unit;
the data operation unit is connected with the data acquisition unit and is used for determining the resource data amount in the instruction acquired by the data acquisition unit, allowing the maximum memory capacity and the minimum memory capacity to be carried and determining the memory capacity of the virtual machine;
the fault processing unit is respectively connected with the data acquisition unit and the data operation unit and is used for determining fault data acquired by the data acquisition unit and determining the highest fault processing level allowed by the current fault data so as to judge whether to process the fault data;
the logic control unit is respectively connected with the data acquisition unit and the data operation unit and is used for determining the sensitive information data amount in the instruction acquired by the data acquisition unit, the maximum sensitive information data amount and the minimum sensitive information data amount which are allowed to be carried, and judging the adjustment mode of the memory capacity of the virtual machine;
the data migration unit is respectively connected with the logic control unit and the fault processing unit and is used for judging a migration quantity determination mode of quantity migration of the resource data quantity and migrating the resource data to other server nodes;
the data operation unit determines the resource data amount in the instruction acquired by the data acquisition unit so as to determine the processing mode of the resource data amount or the virtual machine, wherein the current resource data amount corresponds to the maximum memory capacity and the minimum memory capacity which the virtual machine is allowed to bear.
In particular, the logic control unit determines the sensitive information data amount in the instruction according to the instruction sent by the system, the current sensitive information data amount corresponds to the minimum sensitive information data amount allowed to be carried by the virtual machine,
if the acquired sensitive information data volume is at a first data volume level, the logic control unit judges that the virtual machine is opened;
if the acquired sensitive information data volume is at the second data volume level, the logic control unit judges that the virtual machine is not opened;
the first data level meets the condition that the sensitive data amount is smaller than or equal to the minimum sensitive information data amount allowed to be carried by the virtual machine, and the second data level meets the condition that the sensitive information data amount is larger than the minimum sensitive information data amount allowed to be carried by the virtual machine.
In the embodiment of the invention, the sensitive information comprises a line account number, deposit information, property information, credit records, credit investigation information, transaction and consumption records, flow records and the like, and virtual property information such as virtual currency, virtual transaction, game exchange codes and the like.
Specifically, the data operation unit determines the minimum memory capacity and the maximum memory capacity of the virtual machine according to the capacity of the central processing unit acquired by the data acquisition unit.
In the embodiment of the present invention, when the data obtaining unit obtains the capacity of the central processing unit, the data computing unit calculates the minimum memory capacity Qmin and the maximum memory capacity Qmax of the virtual machine, and sets qmin=0.5×w, qmax=1.5×w, where W is the memory capacity of the central processing unit.
Specifically, the data operation unit determines the resource data amount in the instruction acquired by the data acquisition unit, where the current resource data amount corresponds to the maximum memory capacity and the minimum memory capacity that the virtual machine is allowed to carry,
if the resource data amount of the virtual machine is under the first resource data amount, the logic control unit judges that the resource data amount in the instruction content needs to be distributed to the cluster server;
if the memory capacity of the virtual machine is under the second resource data amount, the logic control unit judges that the memory capacity of the virtual machine needs to be adjusted;
if the memory capacity of the virtual machine is under the third resource data amount, the logic control unit judges that the resource data amount in the instruction content is migrated;
the first resource data volume satisfies that the resource data volume of the virtual machine is smaller than or equal to the current resource data volume and corresponds to the minimum memory capacity allowed to be borne by the virtual machine, the second resource data volume satisfies that the resource data volume of the virtual machine is smaller than or equal to the current resource data volume and corresponds to the maximum memory capacity allowed to be borne by the virtual machine and is larger than the current resource data volume and corresponds to the minimum memory capacity allowed to be borne by the virtual machine, and the third resource data volume satisfies that the resource data volume of the virtual machine is larger than the current resource data volume and corresponds to the maximum memory capacity allowed to be borne by the virtual machine.
Specifically, the logic control unit is provided with an adjusting mode for adjusting the memory capacity of the virtual machine under the second resource data quantity, wherein the adjusting mode comprises a first adjusting mode, a second adjusting mode and a third adjusting mode,
the first adjusting mode is that the logic control unit adjusts the current memory capacity to a first memory capacity;
the second adjusting mode is that the logic control unit adjusts the current memory capacity to a second memory capacity;
the third adjusting mode is that the logic control unit adjusts the current memory capacity to a third memory capacity;
wherein, the current memory capacity is less than the first memory capacity is less than the second memory capacity is less than the third memory capacity.
Specifically, the logic control unit determines an adjustment mode for increasing the memory capacity according to a difference value between the resource data amount and the minimum memory capacity allowed to be carried by the virtual machine currently when the memory capacity of the virtual machine is in the second resource data amount, wherein,
if the difference value between the resource data volume and the minimum memory capacity allowed to be borne by the virtual machine is smaller than or equal to a first preset capacity excessively small difference value, the logic control unit selects the first adjustment mode;
if the difference between the resource data volume and the minimum memory capacity allowed to be borne by the virtual machine is larger than the first preset capacity too small difference and smaller than or equal to the second capacity too small difference, the logic control unit selects the second adjustment mode;
and if the difference between the resource data volume and the minimum memory capacity allowed to be borne by the virtual machine currently is larger than the second preset capacity excessively small difference, the logic control unit selects the third adjustment mode.
The invention provides a preferred embodiment, which adopts a mode of increasing the memory capacity by an adjusting coefficient to adjust the memory capacity, and comprises the following specific embodiments:
when the logic control unit determines to adjust the memory capacity of the virtual machine, the data operation unit calculates a first capacity difference delta G between the resource data amount G and the minimum memory capacity Qmin, sets delta g=g-Qmin, compares the first capacity difference with a preset capacity difference, selects a corresponding adjustment coefficient according to the comparison result to adjust the memory capacity of the virtual machine,
wherein the logic control unit is provided with a first preset capacity difference delta G1, a second preset capacity difference delta G2, a first regulating coefficient K1, a second regulating coefficient K2 and a third regulating coefficient K3, delta G1 is smaller than delta G2, K1 is smaller than K2 and K3 is smaller than 1.2,
if ΔG is less than or equal to ΔG1, the logic control unit determines to select a first adjustment coefficient K1 to adjust the memory capacity of the virtual machine;
if Δg1 is smaller than Δg2 and smaller than Δg2, the logic control unit determines to select a second adjustment coefficient K2 to adjust the memory capacity of the virtual machine;
if ΔG is larger than ΔG2, the logic control unit judges that a third adjusting coefficient K3 is selected to adjust the memory capacity of the virtual machine;
when the logic control unit determines that the ith adjustment coefficient Ki is selected to adjust the memory capacity of the virtual machine, the adjusted memory capacity of the virtual machine is set to Q1, and q1=q0×ki is set, wherein Q0 is the initial memory capacity of the virtual machine, ki is the adjustment coefficient of the memory capacity of the virtual machine, and i=1, 2,3 are set.
In this embodiment, 1 < K1 < 1.05 < K2 < 1.1 < K3 < 1.2, preferably k3=1.15, k2=1.08, k1=1.03 in this embodiment, the memory capacity of the central processing unit is 256G, the minimum memory capacity is 0.5×256, that is qmin=128G, the maximum memory capacity is 1.5×256, that is qmax=384G, when the resource data amount is 150G, the first capacity difference Δg is 150G-128G, that is Δg=22G, and the first preset capacity difference is 10G, and the second preset capacity difference is 30G.
Specifically, the data migration unit is further provided with a migration mode for the resource data volume under the third resource data volume, wherein,
the first migration method determines the number of migrated servers as a first number for the data migration unit;
the second migration mode determines that the number of migrated servers is a second number for the data migration unit;
the third migration mode determines that the number of migrated servers is a third number for the data migration unit;
wherein the first number < the second number < the third number.
Specifically, the data migration unit determines the number of migrated servers according to the difference between the resource data amount and the maximum memory capacity allowed to be carried by the virtual machine currently when the memory capacity of the virtual machine is in the second resource data amount, wherein,
if the difference value between the resource data volume and the maximum memory capacity allowed to be borne by the virtual machine is smaller than or equal to a first preset capacity overlarge difference value, the data migration unit selects a first migration mode;
if the difference between the resource data volume and the maximum memory capacity allowed to be borne by the virtual machine is larger than the first preset capacity overlarge difference and smaller than or equal to the second preset capacity overlarge difference, the data migration unit selects a second migration mode;
and if the difference between the resource data volume and the maximum memory capacity allowed to be borne by the virtual machine currently is larger than the second preset capacity overlarge difference, the data migration unit selects a third migration mode.
The invention provides a preferred embodiment for determining the number of servers for migration of the resource data volume, and the specific embodiment is as follows:
when the data migration unit determines to migrate the resource data amount in the instruction content, the data operation unit calculates a second capacity difference delta Q between the resource data amount G and the maximum memory capacity Qmax, sets delta q=qmax-G, compares the second capacity difference with a preset capacity difference, determines the number of migrated servers according to the comparison result,
wherein, three preset capacity difference values delta Q1, a fourth preset capacity difference value delta Q2, a first quantity B1, a second quantity B2 and a third quantity B3 are arranged in the data migration unit, delta Q1 is smaller than delta Q2, B1 is smaller than B2 and smaller than B3,
if ΔQ is less than or equal to ΔQ1, the data migration unit determines that the number of servers to be migrated in the resource data amount is B1;
if Δq1 is smaller than Δq2 and smaller than Δq2, the data migration unit determines that the number of servers to be migrated in the resource data amount is B2;
if Δq > Δq2, the data migration unit determines that the number of servers to be migrated for the resource data amount is B3.
In this embodiment, the second capacity difference Δq is 384G-150G, i.e., Δq=234G, the third capacity difference is 180G, the fourth capacity difference is 260G, and the number of servers to be migrated is b1=1, b2=2, b3=3.
Specifically, the failure processing unit determines failure data acquired by the data acquisition unit at a first resource data amount, the current failure data corresponding to a highest failure processing level permitted to be processed,
if the current fault data is at a first fault data level, the fault processing unit judges to process the fault;
if the current fault data is at a second fault data level, the fault processing unit judges that the fault is not processed and restarts the virtual machine;
the first fault data level satisfies that the fault data is less than or equal to a highest fault handling level corresponding to the allowable handling, and the second fault data level satisfies that the fault data is greater than the highest fault handling level corresponding to the allowable handling.
In the embodiment of the invention, the fault data comprise but are not limited to poor contact of components, error running program, windows initialization crash, hard disk unrecognizable by Bios and zero track damage.
Specifically, at a first failure data level, the data migration unit migrates the resource data to other server nodes.
In the embodiment of the invention, after the data acquisition unit acquires the command sent by the system and the capacity of the central processing unit, the data quantity of the sensitive information in the command is read, and when the read data quantity of the sensitive information does not exceed the preset data quantity of the sensitive information in the logic control unit, the virtual machine is selected to be opened; and by reading the resource data amount in the instruction, the data operation unit calculates the maximum capacity and the minimum capacity of the virtual machine capable of bearing the resource data amount, and compares the resource data amount with the maximum memory capacity and the minimum memory capacity to determine a mode of further adjusting the resource data amount.
In the embodiment of the present invention, the data acquisition unit, the fault processing unit, the logic control unit and the data migration unit are all programs written by codes, and those skilled in the art can understand that the implementation manners of the foregoing units belong to conventional technical means in the art, and the present invention is not limited in particular.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An intelligent management system based on kvm virtualization, comprising:
the data acquisition unit is used for acquiring the instruction sent by the system, the resource data quantity in the instruction and the capacity of the central processing unit;
the data operation unit is connected with the data acquisition unit and is used for determining the resource data amount in the instruction acquired by the data acquisition unit, allowing the maximum memory capacity and the minimum memory capacity to be carried and determining the memory capacity of the virtual machine;
the fault processing unit is respectively connected with the data acquisition unit and the data operation unit and is used for determining fault data acquired by the data acquisition unit and determining the highest fault processing level allowed by the current fault data so as to judge whether to process the fault data;
the logic control unit is respectively connected with the data acquisition unit and the data operation unit and is used for determining the sensitive information data amount in the instruction acquired by the data acquisition unit, the maximum sensitive information data amount and the minimum sensitive information data amount which are allowed to be carried, and judging the adjustment mode of the memory capacity of the virtual machine;
the data migration unit is respectively connected with the logic control unit and the fault processing unit and is used for judging a migration quantity determination mode of quantity migration of the resource data quantity and migrating the resource data to other server nodes;
the data operation unit determines the resource data amount in the instruction acquired by the data acquisition unit so as to determine the processing mode of the resource data amount or the virtual machine, wherein the current resource data amount corresponds to the maximum memory capacity and the minimum memory capacity which the virtual machine is allowed to bear.
2. The kvm virtualization-based intelligent management system according to claim 1, wherein the logic control unit determines the sensitive information data amount in the instruction according to the instruction sent by the system, the current sensitive information data amount corresponds to the minimum sensitive information data amount allowed to be carried by the virtual machine, and determines whether to open the virtual machine according to a comparison result of the current sensitive information data amount and the minimum sensitive information data amount allowed to be carried by the corresponding virtual machine.
3. The kvm virtualization-based intelligent management system according to claim 2, wherein the data operation unit determines the minimum memory capacity and the maximum memory capacity of the virtual machine according to the capacity of the central processor acquired by the data acquisition unit.
4. The kvm virtualization-based intelligent management system according to claim 3, wherein the data operation unit determines a resource data amount in the instruction acquired by the data acquisition unit, the current resource data amount corresponds to a maximum memory capacity and a minimum memory capacity allowed to be carried by the virtual machine, and the resource data amount is determined to be distributed to a cluster server according to a comparison result of the current resource data amount and the maximum memory capacity and the minimum memory capacity allowed to be carried by the virtual machine, or the memory capacity of the virtual machine is adjusted, or the resource data amount in the instruction content is migrated.
5. The kvm virtualization-based intelligent management system according to claim 4, wherein the logic control unit is provided with a manner of adjusting the memory capacity of the virtual machine under the second resource data amount, so as to adjust the memory capacity to a memory capacity corresponding to the manner of adjusting.
6. The kvm virtualization-based intelligent management system according to claim 5, wherein the logic control unit determines the adjustment mode for selecting the increase of the memory capacity according to the difference between the resource data amount and the minimum memory capacity allowed to be carried by the virtual machine currently when the memory capacity of the virtual machine is in the second resource data amount.
7. The kvm virtualization-based intelligent management system according to claim 6, wherein the data migration unit is further provided with a migration manner for the resource data volume under a third resource data volume, so as to determine the number of migration of the resource data volume to the server.
8. The kvm virtualization-based intelligent management system according to claim 7, wherein the data migration unit determines the number of migrated servers according to a difference between the resource data amount and a maximum memory capacity currently allowed to be carried by the virtual machine when the memory capacity of the virtual machine is at a second resource data amount.
9. The kvm virtualization-based intelligent management system according to claim 8, wherein the fault handling unit determines the fault data acquired by the data acquisition unit under the first resource data amount, the current fault data corresponds to a highest fault handling level permitted to be handled, and determines whether to handle the fault according to a comparison result of the current fault data and the highest fault handling level permitted to be handled.
10. The kvm virtualization-based intelligent management system of claim 9, wherein the data migration unit migrates the resource data to other server nodes at a first failure data level.
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| CN202310311702.0A CN116401009A (en) | 2023-03-28 | 2023-03-28 | Intelligent management system based on kvm virtualization |
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| CN202310311702.0A CN116401009A (en) | 2023-03-28 | 2023-03-28 | Intelligent management system based on kvm virtualization |
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| CN101504620A (en) * | 2009-03-03 | 2009-08-12 | 华为技术有限公司 | Load balancing method, apparatus and system of virtual cluster system |
| CN107179957A (en) * | 2016-03-10 | 2017-09-19 | 阿里巴巴集团控股有限公司 | Physical machine failure modes processing method, device and virtual machine restoration methods, system |
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